Digital Data Engineer & Analytics Lead

EVEREVE inspires women to move forward in their fashion so that they feel fully alive. By offering modern, curated trends from 150+ brands, including our own best-selling line - along with warm, genuine advice,we deliver a styling experience made personal. Our 110+ stores, booming e-commerce business, and fast-growing subscription box service, Trendsend, reach over two million customers every year. Living our core brand values and treating everyone with HEART (humility, empathy, authenticity, relationships, tenacity) creates a shared purpose and collaborative community—and it's also a key part of our success.

Join our team to help shape the future of an ever-growing, ever-evolving brand!

Reports to:

Chief Digital Officer

This role is onsite at our Edina, MN Headquarters, it is not a remote position.

The Digital BI & Analytics Lead owns the data foundation, BI ecosystem, and performance measurement framework for the Digital team. This role blends hands‑on data engineering with analytics leadership to deliver trusted insights across digital revenue, customer behavior, platform performance, fulfillment, returns, profitability, and long‑range planning.

• Design, build, and maintain scalable digital performance based data pipelines, ETL/ELT processes, governed datasets, and semantic models leveraging datasets across digital, marketing, finance, merchandising, technology, and operations sources.
• Translate business needs into production-ready reporting assets, and reliable data models with clear documentation, monitoring, and quality standards.
• Automate manual reporting, improve self‑service access, and strengthen data architecture, lineage, and change management practices.

• Define and govern Digital KPIs, including revenue, conversion, AOV, traffic, engagement, funnel performance, delivery speed, shipping margin, returns, and profitability.
• Build executive dashboards and reporting frameworks that combine insights across multiple internal and external sources to deliver one 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.
• Translate data into clear insights, recommendations, and business stories that connect customer behavior, operational performance, and financial outcomes to identify opportunities for profitable digital growth.

• Serve as the Digital team's subject matter expert for data standards, metric definitions, reporting governance, and analytics best practices.
• Influence cross‑functional partners to improve reporting discipline, data quality, and adoption of trusted BI tools that support the Digital business.
• Communicate complex technical and analytical topics clearly to senior leaders, peers, and non‑technical stakeholders.

• 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…