Hybrid Data Analysis Manager

at Wealth Enhancement Group

• Job title: Data Analysis Manager
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $100,000 - $120,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Amazon Redshift, BigQuery, Cloud, Python, SQL
• Location requirements: Hybrid, Minneapolis, United States

About the role

• Data Analysis Manager at Wealth Enhancement leading data-driven decision-making and managing analytics projects while supporting financial planning initiatives.

Responsibilities

• Lead an analyst and collaborate closely with cross-functional leaders to ensure data accuracy, consistency, and relevance across the organization
• Define analytics strategy aligned with business objectives
• 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

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
• 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

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)