Digital Data Engineer & Analytics Lead

Own the digital analytics foundation by building governed data pipelines, BI ecosystems, and KPI frameworks that drive trusted performance insights across the Digital organization.

Responsibilities

• Design, build, and maintain scalable digital performance based data pipelines, ETL/ELT processes, governed datasets, and semantic models across digital, marketing, finance, merchandising, technology, and operations sources.
• Convert business requirements into production-ready reporting assets and reliable data models with clear documentation, monitoring, and quality standards.
• Automate manual reporting, expand self-service access, and strengthen data architecture, lineage, and change management practices.
• Define and govern Digital KPIs covering revenue, conversion, AOV, traffic, engagement, funnel performance, delivery speed, shipping margin, returns, and profitability.
• Build executive dashboards and reporting frameworks that synthesize insights from multiple internal and external sources to create a single trusted source of truth for Digital performance.
• Develop analytical frameworks and financial models that support business transformation, five-year planning, and technology prioritization.
• Support experimentation, A/B testing, digital funnel analysis, and AI-enabled analytics to improve performance forecasting, optimization, and insights.
• Turn data into clear insights, recommendations, and business stories connecting customer behavior, operational performance, and financial outcomes for profitable digital growth opportunities.
• Act as the Digital team subject matter expert for data standards, metric definitions, reporting governance, and analytics best practices.
• Partner with cross-functional teams to strengthen reporting discipline, data quality, and adoption of trusted BI tools.
• Communicate complex technical and analytical topics clearly to senior leaders, peers, and non-technical stakeholders.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, Mathematics, Business Analytics, or related field; equivalent experience considered.
• Progressive experience in data engineering, BI, analytics engineering, or digital analytics, preferably in retail, ecommerce, omnichannel, or consumer-facing environments.
• Strong hands-on experience with SQL, Power BI, data modeling, ETL/ELT, data warehousing, and dashboard development; Python and SSRS preferred.
• Experience working with complex, multi-source datasets and building governed reporting, KPI frameworks, and actionable insights.
• Strong financial acumen, analytical problem-solving, stakeholder management, communication, and data storytelling skills.

Technologies

• SQL
• Power BI
• Python
• SSRS
• ETL/ELT
• Data modeling
• Data warehousing

Compensation

• USD 85,000 - 135,000 per year

Benefits

• Self-Managed PTO: Time off is yours to plan and use as needed
• Affordable Health Insurance: 80% employer-paid premiums for medical and dental for team members; 50% covered for eligible partners, spouses and dependents
• Parental Leave: Generous paid leave benefits for maternity, paternity and adoption
• Flex Spending Accounts: Pre-tax savings for out-of-pocket healthcare or dependent/daycare costs
• Additional Insurance: Company paid life insurance and short-term disability
• 401k +5% Match: 5% company match with immediate vesting upon enrollment
• Fashion Discount: 30% discount on all merchandise purchased in-store or online (excluding Trendsend); 30% discount online and in-store at Jaxen Grey
• Flexible Work Model: Work from home flexibility with 4-day in-office presence

Role Overview

• Reports to: Chief Digital Officer
• Level: 6
• Location: Edina, MN (onsite); not a remote position