Senior Business/Data Analyst

🏢 Summary: The role focuses on managing end-to-end data management and dashboarding for Digital Reality applications, ensuring accurate reporting and operational performance monitoring. It involves developing KPIs, building Power BI dashboards, integrating systems, and automating processes using scripting and APIs. The position also supports system enhancements, compliance, documentation, and user training in a cross-functional environment. 🗂️ Requirements: MCA or Bachelor's degree in Computer Science or Electronics, 3–4 years of relevant experience in data management or application support, Proficiency in Python, Proficiency in HTML, Proficiency in MySQL, Expertise in Power BI including data modeling and DAX, Experience with scripting and APIs for automation, Knowledge of IT infrastructure and cloud systems, Strong analytical and problem-solving skills, Ability to document issues and provide technical documentation 📃 Skills: Python, HTML, MySQL, PowerBI, DAX, VSCode, APIs, Azure, DevOps, ServiceNow, ITIL 🏢 Description: Summary: This role focuses on managing the data and dashboards for Digital Reality applications. The primary goal is to ensure effective data management, system integration, and reporting for operational performance within the organization. Responsibilities: Manage end-to-end data management and dashboarding, ensuring accuracy and relevance. Develop KPIs and dashboards to monitor operations and user data effectively. Collaborate with cross-functional teams to streamline operations. Track technological advancements and suggest system enhancements. Ensure compliance with internal policies and industry standards. Document issues and propose resolutions to management. Provide training to users regarding systems and equipment. Analyze and refine processes to improve service delivery. Must Haves: MCA or Bachelor's degree in Computer Science or Electronics. 3-4 years of relevant experience. Proficiency in Python, HTML, MySQL, and tools like Visual Studio Code & Power BI. Expertise in Power BI, particularly in data modeling and DAX. Strong analytical and problem-solving skills. Knowledge of IT infrastructure and cloud systems. Experience in scripting and using APIs for automation. Excellent communication and documentation skills. Nice to Haves: Familiarity with Azure and DevOps. Knowledge of Service Now as a service management tool. ITIL v4 Certification. Other Details: Location: Not specified. Team Structure: Involves collaboration with cross-functional teams. Reporting Lines: Not specified; likely involves stakeholder interaction. Tools/Methodologies: Focus on Power BI and software development tools. Reason (Must Have): MCA or Bachelor's degree: Required to ensure a foundational understanding of computer science principles relevant to the data management tasks. 3-4 years experience: Ensures the candidate has enough hands-on experience dealing with the complexities involved in data management and application support. Python and Power BI Proficiency: Essential for developing effective dashboards and automating reporting processes, directly linking to KPIs and operational monitoring. Analytical skills: Critical for problem-solving within system integration and performance tracking responsibilities. Reason (Nice to Have): Knowledge of Azure & DevOps: Provides a competitive edge for managing cloud applications, enhancing operational performance and flexibility. Service Now knowledge: Beneficial for managing service requests and incidents, facilitating smoother operational support. ITIL Certification: Indicates an understanding of service management best practices, adding value to process improvement aligned with industry standards. Trust Score: Score: High Evidence: The description is clear, with detailed responsibilities and specific technologies outlined, allowing for effective candidate sourcing.Sourcing Guidance / Clarifications Needed:The job description provides good technical clarity for sourcing. Consider these potential recommendations to enhance the search: Recommendation: Look for candidates with experience in data analytics alongside Python and Power BI . Rationale: This combination is often necessary for roles focused on data-driven decision-making and system integration. Recommendation: Identify candidates from industries heavily investing in cloud technologies or software development . Rationale: These sectors likely have professionals with relevant skills and experience related to the cloud-based aspects of this role. Recommendation: Consider profiles with prior experience in IT service management roles. Rationale: These candidates will have familiarity with operational processes that align with managing SRs and incidents, enhancing overall performance in Digital Reality applications.

🏢 Summary: Hybrid B2B role in the banking sector focused on designing and maintaining data models for credit and financial data processes. The position involves translating business requirements into scalable technical solutions, ensuring data quality, and supporting integrations, automation, and end-to-end solution design. Candidates will collaborate with stakeholders and technical teams while working with SQL, Python, and data integration technologies. 🗂️ Requirements: Extensive experience in data modeling and solution design, Strong SQL skills, Hands-on experience with relational databases, Good programming skills in Python, Experience with data integration and transformation, Experience with data mapping across multiple systems, Understanding of APIs and system integrations, Understanding of process modeling, Experience ensuring data quality and governance standards, Strong analytical and problem-solving skills, Experience translating business requirements into technical solutions, Experience working with business stakeholders, Fluent English 📃 Skills: SQL, Python, APIs, Kafka, PowerBI, Java 🏢 Description: Industry: banking Location: hybrid - 3 days per week from office in Warsaw or Gdańsk Rate: 165 pln/h on b2b Summary: The primary objective of this role is to design and maintain data models that support credit and financial data processes. This position focuses on translating business requirements into scalable technical solutions, ensuring data quality, and facilitating collaboration between technical and non-technical teams. Main Responsibilities: Design and maintain data models supporting credit and financial data processes. Analyse business requirements and translate them into scalable technical solutions. Define and manage data mappings between multiple systems to ensure accurate data integration and transformation. Ensure data quality, consistency, traceability, and auditability across the solution landscape. Collaborate with business stakeholders, architects, and development teams on end-to-end solution design. Prepare and maintain technical documentation and functional specifications. Support process optimization and automation using AI-assisted tools. Participate in solution implementation, testing, and continuous improvement activities. Key Requirements: Extensive experience in data modeling and solution design. Strong SQL skills and hands-on experience with relational databases. Good programming skills in Python. Experience with data integration, transformation, and data mapping across multiple systems. Understanding of APIs, system integrations, and process modeling. Experience ensuring data quality, consistency, and governance standards. Strong analytical and problem-solving skills. Experience working directly with business stakeholders and translating business requirements into technical solutions. Fluent English, both written and spoken. Nice to Have: Knowledge of Kafka. Experience with Power BI. Familiarity with Java development. Understanding of data warehouse concepts and architecture. Experience using AI tools for documentation, testing, data analysis or development support. Experience in banking, finance, or regulatory reporting environments. Knowledge of credit risk, rating, or financial statement data domains.

🏢 Summary: The role focuses on optimizing Sales operations by defining user stories, validating agent workflows, and enhancing Salesforce-based processes to improve productivity and deal velocity. You will collaborate with sales teams to drive adoption, track performance metrics, and prioritize high-impact workflow improvements. 🗂️ Requirements: 5+ years of experience in Sales Operations or BizOps, Experience with Salesforce CRM, Expertise in pipeline management, Expertise in sales forecasting, Experience with Sales Cloud workflows, Ability to drive adoption among field sales teams 📃 Skills: Salesforce, SalesforceSalesCloud, CRM, PipelineManagement, Forecasting, UAT, SalesOperations, BizOps 🏢 Description: Responsibilities Specify Sales user stories and define precise acceptance criteria. Validate agent behavior in UAT sessions alongside field sales participants. Map current and future-state Sales processes to create enablement and training materials. Track feature usage, deal velocity, and representative productivity metrics post-deployment. Maintain alignment with sales leadership regarding priorities and business constraints. Evaluate where agent workflows address friction better than competitive tools. Requirements 5+ years of experience in Sales operations or BizOps. Salesforce CRM experience is a baseline requirement. Deep expertise in pipeline management, forecasting, and Sales Cloud workflows. Ability to influence field sales teams and drive adoption without direct mandate. Pragmatic approach to scoping, focusing first on high-value workflows over complexity. Offer Our client offers a fast-paced and energetic environment where your unique skillset will be nurtured. You will find real connections, continuous opportunities to grow, and a supportive team that celebrates success together. If you are ready to drive meaningful change and shape the future of the industry, apply today!

🏢 Summary: Hands-on technical role focused on designing and deploying automation and analytics solutions to transform planning processes at scale. The position combines software development, data engineering, and cloud technologies to deliver scalable tools that improve efficiency and decision-making in a supply chain environment. You will build Python- and cloud-based solutions while collaborating with business stakeholders to drive digital transformation. 🗂️ Requirements: 1-3 years professional experience in Python programming, Strong skills in Python for automation, data processing, API integrations, Hands-on experience with Microsoft Azure, Experience with Microsoft Power Platform, Experience with version control systems (Git), Understanding of application and data architecture, Ability to document architecture and solutions, Basic knowledge of cloud security principles (IAM, roles, access management), Fluent English (B2 minimum) 📃 Skills: Python, Azure, PowerApps, PowerAutomate, Git, GitHub, SQL, AzureSQL, SQLServer, PowerBI, DAX, CI/CD, IAM, draw.io 🏢 Description: Job Description Are you passionate about driving digital transformation and automation at scale? In this role, you will be part of a dynamic team focused on transforming planning operations across Europe by developing and deploying innovative digital solutions. You will work closely with a network of ~150 planning specialists and leaders, enabling them to operate more efficiently through automation, advanced analytics, and digitization. Your work will directly impact business results by reducing manual effort, improving decision quality, and accelerating execution. This is a hands-on technical role where you will combine software development, data engineering, and business understanding to design and deliver scalable solutions in a complex supply chain environment. Responsibilities Design, develop, and support automation and analytics solutions to improve planning processes and business performance Build and maintain cloud-based data flows and application-supporting data processing solutions Partner with planners, analysts, and leaders to identify opportunities for digitization and translate them into technical solutions Develop and maintain Python-based tools for data processing, automation, and system integrations Leverage Microsoft Power Platform (Power Apps, Power Automate) to streamline workflows and enhance user experience Ensure high-quality documentation of solutions, architectures, and processes Collaborate within a multidisciplinary team to continuously improve existing tools and introduce new capabilities Apply best practices in coding, version control, and solution design to ensure sustainability and long-term maintainability Contribute to incremental improvements of data and application architecture within planning processes Expected to deliver measurable improvements in touchless adoption, planner productivity, and service/cost KPIs Job Qualifications Required: Strong programming skills in Python (automation, data processing, API integrations) with 1-3 years of professional experience. ​ Hands-on experience with Microsoft Azure Experience with Microsoft Power Platform Experience with version control systems (e.g., GitHub) Understanding of application and data architecture at solution level (including ability to document using tools like draw.io ) Basic understanding of cloud security principles (IAM, roles, access management) Strong collaboration skills with ability to work independently High attention to detail, especially in documentation and solution design Fluent English (minimum B2 level) Preferred: Experience with Copilot Studio or AI-based solutions (e.g., chatbots, agents) Knowledge of SQL and relational databases (Azure SQL, SQL Server) Experience with Power BI and DAX Basic understanding of DevOps and CI/CD concepts Experience working within enterprise security frameworks We offer P&G-sized projects and access to world leading IT partners and technologies from Day 1. Wide range of self-development possibilities (training and certifications paths). Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards). Regular salary increases and possible promotions - in line with your results and performance. Opportunity to change role every few years to be in the best place for you and best for P&G. At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication. Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

🏢 Summary: Leadership role responsible for driving data analytics strategy and integrating AI to enhance predictive capabilities, operational efficiency, and strategic decision-making in a highly regulated pharmaceutical environment. The position leads cross-functional analytics initiatives, ensures regulatory compliance, and manages a high-performing data team aligned with business goals. Focused on innovation and governance, the role leverages advanced analytics and AI to support organizational growth and performance. 🗂️ Requirements: Bachelor's degree in Data Science, Business Analytics, or related field, Minimum 5 years of experience in data analytics or related roles, At least 2 years of leadership experience, Proven experience leveraging AI in data analytics, Experience in a highly regulated industry, Strong knowledge of data governance and regulatory compliance, Proficiency in data analytics tools and AI-driven platforms 📃 Skills: AI, Analytics, DataScience, PredictiveAnalytics, DataGovernance, Compliance, ProjectManagement, Reporting, DataManagement 🏢 Description: Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we've created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that's transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let's transform healthcare together.POSITION SUMMARY The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects, leveraging AI to enhance speed, scale, quality, and decision-making. Aligned with Empower's growth in a 503A/503B environment, the role demands excellence in strategic thinking, execution rigor, and learning agility. This role is pivotal in aligning data analytics strategies with business goals, ensuring compliance, and fostering innovation in a highly regulated landscape. Candidates must demonstrate strong leadership capabilities and the ability to optimize AI as a transformative force multiplier, advancing Empower's competitive edge and operational efficiency. RESPONSIBILITIES Data Strategy AI Integration: Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements. Innovation Leadership: Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry. Strategic Alignment: Ensure data analytics initiatives align with Empower's business goals and regulatory standards. Utilize data-driven insights to inform strategic planning and operational decisions, contributing to the company's growth and compliance in a highly regulated sector. Team Leadership Mentorship and Development: Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs. Performance Management: Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution. Talent Acquisition: Participate in the recruitment and retention of top-tier analytics talent. Ensure the team's competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture. Operational Excellence Process Optimization: Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes. Resource Management: Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI-driven solutions to maximize resource utilization and operational efficiency. Regulatory Compliance: Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting Empower's commitment to compliance and ethical practices. Cross-Functional Collaboration Partnership Building: Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives. Communication and Reporting: Effectively communicate data insights and analytics findings to non-technical audiences. Prepare and deliver executive-level reports and presentations that articulate the value and impact of analytics initiatives on business performance. Project Management: Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI-driven project management tools to enhance collaboration, track progress, and optimize project outcomes. KNOWLEDGE AND SKILLS Proficient in data analytics tools and AI-driven platforms, with strong analytical and problem-solving skills. Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement. Strong understanding of regulatory compliance within data management and analytics environments. Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively. EXPERIENCE AND QUALIFICATIONS Bachelor's degree in Data Science, Business Analytics, or related field; Master's preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access

🏢 Summary: Founding Data Engineer role responsible for building and owning the entire data stack, transforming raw financial and ERP data into reliable datasets, analytics, and ML-ready pipelines that power product intelligence and business decisions. You will design scalable data infrastructure, canonical models, and metric layers from scratch in a fast-growing fintech environment. 🗂️ Requirements: 3+ years building production data pipelines with Python, Strong SQL proficiency, Experience with cloud data warehouses (Snowflake or BigQuery), Experience implementing ETL/ELT workflows with dbt, Airflow, or similar tools, Experience designing data models and canonical schemas, Experience building or contributing to semantic/metrics layers, Experience working with SaaS APIs, ERPs, and third-party integrations, Focus on data quality, testing, lineage, and observability 📃 Skills: Python, SQL, Snowflake, BigQuery, dbt, Airflow, ETL, ELT, DataOps, DataModeling, APIs, ERP, MachineLearning 🏢 Description: Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics. This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You’ll Do Build and own our data infrastructure from the ground up — design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems Build the transformation and semantic layer that serves as the single source of metric truth across customer-facing analytics, internal reporting, and our AI/ML systems Design the canonical data model that normalizes information across heterogeneous source systems, with quality tests and observability built in from day one Build the event and signal pipelines that turn product interactions and outcomes into clean, labeled data — the foundation for analytics, ML, and intelligent product features Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into everything we ship Implement DataOps best practices so our data — and the AI features built on top of it — stays timely, accurate, and trusted Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks You Might Be a Fit If You… Have 3+ years of hands-on experience building production data pipelines using Python Know your way around SQL and modern cloud data warehouses; experience with Snowflake or BigQuery is a plus Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar — and have opinions on what good looks like Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations — and have battle scars to show for it Care deeply about data quality and observability — freshness, lineage, automated testing, and anomaly detection as first-class concerns Have experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure (bonus, not required) Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack Have experience (or strong interest) in fintech, B2B SaaS, or financial data — understanding AR/AP workflows is a big plus Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $135K - $190K

🏢 Summary: Hands-on Technical Product Owner role within an analytics and reporting tribe, combining product delivery management with strong data expertise to deliver measurable data products. The position bridges business stakeholders and data engineering teams, translating requirements into scalable solutions on Azure-based data platforms. It focuses on SQL-driven data modelling, Power BI reporting, Python automation, and governance of enterprise data products. 🗂️ Requirements: Experience as Technical Product Owner or Technical Product Manager in complex multi-team environments, Proven on-time and on-budget delivery of data or analytics projects, Strong SQL expertise including data modelling and optimization, Experience building data models and reports with DAX and Power BI, Medium proficiency in Python for ETL, validation, or automation, Hands-on experience with Azure data platforms and Databricks, Experience with Azure DevOps or TFS and ServiceNow, Knowledge of SDLC, release and change management processes, Experience in Agile/Scrum environments, Fluent English 📃 Skills: SQL, DAX, PowerBI, Python, Databricks, Azure, AzureDevOps, TFS, ServiceNow, DataModeling, ETL, PowerBI, Scrum, SDLC 🏢 Description: Team Within IT Group Digital Capabilities division, our Analytics, Insights and Reporting Tribe supports the needs for advanced analytics and reporting from all the entities of the Euroclear Group. The team helps to transform data into insights and reports using techniques such as descriptive analysis, text mining, machine learning, process mining, network analytics, predictive modelling, AI etc. Scope of the tribe can be summarized as follows: Operating and managing the evolution of the Data & Analytics Platform (DAP) consisting out of a DataLake, the Group Data Warehouse and a new off-premise Operational Data Store aligned with new market evolutions. Key player in the AI CoE. Centre of Expertise for BI & Reporting. Provide project support and expertise to various business lines. Role requirements Acting as a hands‑on technical product owner for a business stream (Finance, Risk, IT, Compliance, HR) in the AIR (Analytical Insight & Reporting) Tribe. You’ll combine delivery management with data skills (data modelling, SQL/DAX/Power BI/Python) to turn business needs into measurable product outcomes and help us transition from product ownership to product management. The Technical Product owner is the bridge between the business stakeholders and Data Engineers to understand, define and prioritize business requirements in line with the defined business vision and strategy. As TPO, you define the demand aspect of initiatives which entails: translate the clients' needs to the language of Engineers who will be developing the solution in collaboration with the Architects defining the most optimal scope and solution to deliver projects focusing on the true client's demand creating and maintaining the product backlog, documenting and prioritizing requirements and ensuring alignment and understanding by the different business stakeholders of the scope evolution and solution Supporting the scrum team during the development and refinement sessions Plans, monitors and manages internal projects for initiation and scope Ensures project results meet requirements regarding solutions, schedule, cost and expected Business value Develops effective relationships with business units, divisions or groups of users Ensures required services are identified, developed and supported to the satisfaction of the business unit/division Actively contributes to the Customer Digital Experience strategy execution Prepares communications and makes presentations on product enhancements Profile: What you’ll do Quarterly planning: prepare/execute QBR & QP; align capacity, funding, priorities with portfolio. Business data analysis: capture requirements, map data flows, write SQL (mandatory), design DAX measures, build Power BI reports; automate checks with Python (medium proficiency). Delivery reporting: maintain dashboards and predictability status (PSR); integrate with ServiceNow/Azure DevOps. Stakeholder engagement: work daily with IT, Business, Operations, Sales, Product to clarify priorities and land outcomes. Ways of Working: streamline intake→delivery→release, define lean cadences/RACI/playbooks; champion the shift to product. Own data products: governance, cross‑tribe, dashboards/PSR, SDLC/IT controls. Required skills Product Management in complex, multi‑team environments; demonstrable on‑time, on‑budget delivery. Data stack: Databricks / Azure data plaforms. SQL — mandatory (data modelling, optimization, QA). DAX + Power BI — solid experience building robust, maintainable models/reports. Python — medium (ETL scripts, data validation, automation). Tooling: Azure DevOps/TFS,  ServiceNow, release/change processes; confident with audit/compliance. Business analysis: requirements, UAT support, data glossary/catalog contribution. Communication & leadership: crisp status, risk and dependency management; ability to influence across tribes and vendors. Additionally: Several years of experience in a similar role and/or as Technical Product Manager, ideally in the banking and/or financial services sector, with a focus on client communication and interaction channels. Excellent spoken and written English is required. Analytical, methodical and results oriented are key skills You are client focus and you have strong team spirit Strong inter-personal skills and good presentation skills Planning/organizational skills and autonomy: able to organize and prioritize Accomplish work by yourself Experience in Agile way of working #LI-MJ1 About Us Why join us Embark on your new adventure at Euroclear, and work at the heart of the global capital markets. We connect over 2,000 financial institutions across the globe. As an open and resilient infrastructure, we contribute to the stability of the financial markets. We help clients cut through complexity, lower costs, and mitigate risks of financial transactions. At Euroclear, we have the clear ambition to use our key role to facilitate and accelerate a sustainable global financial system. What We Offer: Work closely with inspiring, supportive and engaged colleagues from more than 80 different countries. Practice your talents in a highly professional international environment. Join a learning and development environment with an emphasis on knowledge sharing and training. Competitive salary and comprehensive benefits. Ways of working Find your own optimal balance within our hybrid working model, where you can connect at the office 8 days a month and also benefit from remote working. Great Place to Work for All We are committed to creating an inclusive culture that celebrates diversity and strives to be a Great Place to Work for All. All qualified applicants will be considered for employment, regardless of any aspect that makes them unique (including race, religion, national origin, gender, sexual orientation, age, marital status, pregnancy, disability, ...). If you need any specific accommodation due to disability or any other reason, you can let the recruiter know during your application process. Our values guide how we work together and shape our future: Our mission and values - Eurocleakkk

🏢 Summary: Engineering role focused on maintaining and improving a production Ruby on Rails system in a sustainability-focused product. The position involves triaging client requests, resolving full-stack production incidents, and collaborating with Product and Customer teams in a dynamic, ticket-driven environment. It emphasizes system reliability, root-cause analysis, and continuous improvement of support processes. 🗂️ Requirements: 5+ years of Ruby on Rails experience, Strong experience with production systems, Ability to debug and perform root-cause analysis, Full-stack capability (backend, integrations, basic infrastructure), Experience handling incidents and production issues, Ability to work in on-call rotations, Experience with CI/CD pipelines, Experience with cloud infrastructure, Strong understanding of relational databases 📃 Skills: Ruby, Rails, Hotwire, Turbo, AWS, Docker, PostgreSQL, Datadog, GitHub, CI/CD, Jira, Slack 🏢 Description: Do you care about making an impact on sustainability? Help consumers and brands better understand their environmental impact and make better choices for the planet! 🌎 This role sits at the intersection of engineering, product, and client interaction. You will work in a dynamic, ticket-driven environment where priorities shift based on real usage, incidents, and business needs. What you’ll do: Handle and triage incoming client requests (Jira, Slack, calls) Investigate and resolve incidents across the full stack (backend, frontend, integrations) Work on production issues - from quick fixes to deeper root-cause analysis Collaborate with Product and Customer teams to understand and address user needs Implement small improvements and fixes independently Contribute to improving incident handling and support processes Participate in on-call rotations and ensure system reliability Provide technical input on feasibility and impact of client requests Tech stack: Ruby on Rails (monolith) Hotwire / Turbo AWS Docker GitHub Actions (CI/CD) PostgreSQL Datadog What are we looking for? 🎯 5+ years of experience with Ruby on Rails Strong experience working with production systems Excellent debugging and problem-solving skills Ability to work across the stack (backend, integrations, basic infra) Strong ownership and communication skills Comfortable working in a dynamic, reactive environment Nice-to-have: Experience in support / maintenance / -like roles Familiarity with monitoring tools (e.g. Datadog) Experience with AWS What you get: Real impact on system stability and client experience High ownership and autonomy in decision-making Exposure to a wide range of technical challenges Close collaboration with product and client-facing teams Opportunity to deeply understand how the system behaves in production A role suited for engineers who enjoy problem-solving over repetitive feature delivery It is not the best fit if: You are looking for a purely feature-driven role with long-term, predictable roadmaps You get frustrated by frequent context switching or changing priorities You expect a clean, well-structured codebase with minimal technical debt Sounds like a fit? Let’s talk! 🚀

🏢 Summary: The offer is for a QA Engineer focused on improving the quality of IT products through manual and automated testing within a Scrum team. The role centers on testing RESTful APIs and a Developer Portal UI, designing and executing test cases, and building automated test suites using Python and Robot Framework. It also involves close collaboration with developers and stakeholders to ensure high-quality deliverables aligned with organizational standards. 🗂️ Requirements: Proven experience with RESTful API testing tools and methodologies, Experience with UI testing, Strong Python programming skills, Hands-on experience with Robot Framework, Familiarity with Jenkins, Familiarity with Git, Familiarity with Docker, Familiarity with Kubernetes, ISTQB Foundation Level knowledge or equivalent experience, Knowledge of manual and automated QA processes, Fluent English (spoken and written) 📃 Skills: Python, Robot, REST, API, UI, Jenkins, Git, Docker, Kubernetes, ISTQB 🏢 Description: Summary: This role focuses on enhancing the quality of IT products through testing and validation, specifically in collaboration with a scrum team. The primary objective is to ensure high-quality deliverables that meet the organization's standards. Main Responsibilities: Work closely in a scrum team with developers, analysts, and stakeholders to ensure high quality of delivered products Test and validate Restful APIs Test and validate the UI of Developer Portal Analyze requirements from a testing point of view Plan, design, and execute test cases Build and maintain automated test suites using Python and Robot Framework Provide test results Participate in testing team activities and contribute to organizational quality initiatives Key Requirements: Proven experience with RESTful API testing tools and methodologies Experience with UI testing Strong Python programming skills for test development Hands-on expertise with Robot Framework automation Familiarity with modern DevOps tools (Jenkins, Git, Docker, K8s) ISTQB Foundation Level knowledge (or equivalent practical experience) Knowledge of QA processes (both manual and automated) Excellent communication skills in English (spoken and written) Nice to Have: Growth mindset with a passion for continuous learning and improvement Team player who actively contributes to collective success and efficiency improvements Other Details: Location: Poland - Gdańsk / Gdynia / Łódź / Warszawa Work mode: hybrid, 3 days per week from the office Required language: English