Digital Data Engineer & Analytics Lead

Posted 3 Days Ago
Edina, MN, USA
In-Office
85K-135K
Mid level
Retail
The Role
Owns the Digital team’s data foundation, BI ecosystem, and performance measurement framework. Designs data pipelines, ETL/ELT processes, governed datasets, semantic models, dashboards, KPI frameworks, and executive reporting. Develops financial models, supports experimentation and AI-enabled analytics, and translates customer, operational, and financial data into actionable growth recommendations. Serves as the subject matter expert for data governance, metric definitions, reporting quality, and analytics best practices while partnering with senior leaders and cross-functional teams.
Summary Generated by Built In

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 actionable insights.
  • Strong financial acumen, analytical problem-solving, stakeholder management, communication, and data storytelling skills.

EVEREVE Benefits and Perks: 

  • Self-Managed PTO: Time off is yours to plan and use as you need it
  • 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 to enjoy time with your growing family
  • Flex Spending Accounts: Benefit from 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:?Contribute to your financial future and receive a 5% company match with immediate vesting upon enrollment
  • Fashion Discount: Enjoy a 30% discount on all merchandise purchased in-store or online, excluding Trendsend. EVEREVE team members are also eligible for a 30% discount online and in-store at Jaxen Grey.
  • Flexible Work Model: Offers work from home flexibility with 4-day in-office presence to build connection with team members

Skills Required

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, Mathematics, Business Analytics, or a related field; equivalent experience may be considered.
  • Progressive experience in data engineering, BI, analytics engineering, or digital analytics.
  • Experience 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.
  • Experience with Python and SSRS.
  • 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.
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The Company
HQ: Minneapolis, MN
779 Employees
Year Founded: 2004

What We Do

EVEREVE is a coast-to-coast retailer with a boutique feel and unmatched personal service, offering a curated collection of elevated, contemporary, versatile brands for women who are ever-evolving in life and style. We have 100 stores in 30+ states, an e-boutique at EVEREVE.com, daily programming on @evereveofficial, and a digital personal styling service at TRENDSEND.com. Our collections are created from a select group of emerging and established brands such as Monrow, Faherty, The Upside, Parker Clay, Pistola, Cleobella, Vuori, AGOLDE, Citizens of Humanity, Velvet, and many more. We are poised to deliver a unique and unforgettable experience to a large and growing addressable market.

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