Data Analysis Manager

Wealth Enhancement GroupMinneapolis, MN
1dHybrid

About The Position

We are seeking a Data Analysis Manager that will play a key role in turning complex data into meaningful insights that inform strategic business decisions. This role will lead an analyst and collaborate closely with cross‑functional leaders to ensure data accuracy, consistency, and relevance across the organization. The ideal candidate will bring strong analytical expertise and a passion for enabling data‑driven decision‑making. This role offers flexibility for Minnesota‑based candidates to work in a hybrid arrangement at our Plymouth, MN headquarters, while highly qualified applicants outside Minnesota may be considered for a fully remote schedule. In the spirit of pay transparency, we are excited to share the base salary range for this position is $100,00.00 to $120,000.00, exclusive of bonuses and benefits. This role is also eligible for our corporate bonus. We encourage you to apply and provide us with your compensation expectations when you do. We’re big on open conversations, so, let’s have one.

Requirements

  • Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or related field
  • 5+ years of experience in data analysis or business intelligence
  • 2+ years of experience leading or managing analysts
  • Strong proficiency in SQL and data visualization tools (e.g., Power BI))
  • Experience with statistical analysis and data modeling
  • Ability to translate data into business insights
  • Comfortable in entrepreneurial, fast paced environments building analytics and data from scratch

Nice To Haves

  • Master’s degree in a quantitative or business discipline preferred but not required
  • Expert with SQL, Python or R
  • Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift)
  • Background in financial services, or regulated industries
  • Strong project management and stakeholder engagement skills
  • Experienced with Salesforce and Power BI platforms

Responsibilities

  • Define analytics strategy aligned with business objectives
  • Lead, mentor, and develop data analysts and peers
  • Manage analytics projects, timelines, and priorities
  • Partner across the organization to develop data integrity and design standards
  • Help spearhead data integrity and validation efforts across the organization
  • Build analytical datasets from raw datasets
  • Partner with stakeholders across departments to support data-driven decisions
  • Translate business questions into analytical frameworks and data requirements
  • Communicate findings clearly to technical and non-technical audiences
  • Design and deliver KPIs, dashboards, reports, and executive-level insights
  • Provide clear, actionable insights to support leadership decision-making
  • Conduct custom analysis using financial and statistical techniques
  • Apply analytical rigor to solve complex business problems

Benefits

  • Training and professional development
  • Medical, dental and vision coverage (Available to full-time employees and their families)
  • Health Savings Account (HSA) with employer contribution and Flexible Spending Accounts (FSA) for medical, dependent, and transit expenses
  • Life and AD&D insurance – employer paid and voluntary options
  • Short-term and long-term disability, workers compensation – employer paid
  • 401k with match and profit sharing
  • Wellness programs and resources
  • Voluntary benefits, including pet insurance
  • 18 days of paid time off (PTO), accrued annually (25 PTO days after 4 years of service)
  • 12 paid holidays each year (10 pre-determined and 2 floating days)
  • Paid parental leave and paid caregiver leave (Caregiver leave available after 6 months of tenure)
  • Reimbursement for tuition, licensing, and other credentials (Available after meeting service requirements)
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