Onsite Digital Data Engineer & Analytics Lead — Driving

Description

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!

Role Overview: 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.

Key Responsibilities :

Data Engineering & Infrastructure ·

• 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.

Business Intelligence & Performance Reporting

• 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.

Strategic Analytics, Experimentation, & AI Enablement

• 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.

Governance

• 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.

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…