Senior Data Analyst

Quick Facts

• Role: Senior Data Analyst (Analytics Engineer)

• Focus: Business intelligence, analytics solutions, and data pipeline/reporting development

• Experience: 5+ years in data analytics

Description

The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted reporting, and actionable insights. This role combines analytics, business intelligence, and data engineering capabilities to support decision-making across Marketing, Customer Service, Commercial, and Business teams. You will define KPIs, improve business processes, and drive measurable outcomes through data while designing and maintaining data pipelines, reporting frameworks, and analytics solutions.

Responsibilities

• Design and build advanced, multi-layered reports and dashboards in Power BI using SQL-based data transformations and reporting layers
• Analyze large, complex datasets to identify trends, inefficiencies, and root causes; translate findings into strategic recommendations and cost-reduction opportunities
• Partner with stakeholders to align analytical work with business objectives and provide actionable insights to executive leadership
• Design, develop, and maintain scalable datasets, data models, and ETL/ELT processes; support enterprise reporting solutions and analytics platform modernization
• Build automated data pipelines and reporting solutions to reduce manual effort and improve accuracy, consistency, and accessibility
• Communicate complex findings clearly and build a data-driven culture across teams
• Refine analytics models via feedback loops to keep insights relevant to evolving business needs
• Ensure data integrity and troubleshoot data issues; improve data quality and governance
• Use statistical modeling and forecasting for predictive and prescriptive decision-making
• Lead and manage high-impact analytics initiatives with timely delivery and alignment to organizational goals

Requirements

• Bachelor’s degree in a relevant field
• 5+ years of data analytics experience; strong background in operations and supply chain
• 5+ years SQL experience
• 3+ years Python experience
• 5+ years Power BI/Tableau experience
• Advanced proficiency in Power BI, SQL, and Excel; experience with automation and scripting
• Strong experience with data modeling, ETL/ELT, data pipelines, integrations, and cloud-based analytics platforms
• Understanding of financial and marketing metrics and how they impact business performance
• Experience with predictive modeling, regression analysis, and correlation techniques
• Ability to distinguish signal from noise in complex datasets and deliver clear insights
• Proven track record developing scalable, long-term analytical solutions
• Strong project management skills; ability to lead initiatives
• Excellent communication and storytelling skills
• Experience with Databricks is a plus
• Work authorization in the U.S. that does not require visa sponsorship

Benefits

• Competitive insurance benefits starting on day one (medical, dental, vision, life, short-term disability, long-term disability, pet, legal and ID shield)
• 401k plans, employee stock purchase plan (ESPP), HSA, FSA, Dependent Care FSA
• Mentorship, training and development, tuition reimbursement, internship programs, and promotional opportunities
• Employee resource groups, volunteer paid time off, employee events, charity drives
• Accrued leave policy with paid holidays, paid time off, and paid parental leave