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Evereve

Women's fashion retailer with styling services

Digital Data Engineer & Analytics Lead

Data Engineering +1Confirmed live in the last 24 hours
Full-timeEdina, MN, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Engineering, Information Systems, Statistics, Mathematics, Business Analytics, or a related field is required; equivalent experience is considered.
  • Progressive experience in data engineering, business intelligence, analytics engineering, or digital analytics is required, 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 is required.
  • Experience working with complex, multi-source datasets and building governed reporting, KPI frameworks, and actionable insights is required.
  • Strong financial acumen, analytical problem-solving, stakeholder management, communication, and data storytelling skills are required.

Responsibilities

  • Design, build, and maintain scalable digital performance data pipelines, ETL/ELT processes, governed datasets, and semantic models using 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, average order value, 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 connecting 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 business intelligence tools that support the Digital business.
  • Communicate complex technical and analytical topics clearly to senior leaders, peers, and non-technical stakeholders.

Desired Qualifications

  • Python and SQL Server Reporting Services (SSRS) are preferred.
  • Experience in retail, ecommerce, omnichannel, or consumer-facing environments is preferred.

About the Company

Evereve

Women's fashion retailer with styling services

Evereve sells women's fashion through a curated selection of clothing, accessories, and footwear via online and physical stores. Shoppers browse and buy high-quality, on-trend pieces online or in-store, with optional personalized styling assistance and seasonal promotions that drive sales. It differentiates itself by pairing a carefully chosen, versatile product range with individualized styling and a seamless omnichannel experience, focusing on fashionable yet comfortable outfits for work, casual wear, and special occasions. Its goal is to help women look and feel their best by providing curated apparel and personalized styling through a unified shopping experience.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Edina, MN
Founded
2004

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