Data & BI Manager

ASGN Incorporated
Minneapolis, MN, United States
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$130,000.0 - $160,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Architecture Data Governance Data Integration Extract Transform Load (ETL) Dataspaces Database Queries Python (Programming Language) Power BI Cloud Services Enterprise Data Management Advanced Reports
+4 more
Data Strategy Data Lineage Data Management Programming Languages

Job description

Located in the greater Twin Cities region, we are a long-standing global leader building engineered technologies and processing equipment for industries supporting food, fuel, manufacturing, and beyond.

We’re looking for a hands-on Data & BI Manager to lead data strategy, business intelligence, reporting, and analytics initiatives. This role combines leadership with execution and is ideal for someone who enjoys building scalable data solutions, driving data governance, and turning complex data into actionable business insights.

What You’ll Do

  • Lead the development and delivery of business intelligence and analytics solutions.
  • Partner with business and technology teams to improve data architecture and reporting capabilities.
  • Drive data governance, data quality, and reporting standards across the organization.
  • Translate business requirements into scalable data and reporting solutions.
  • Support predictive analytics and emerging AI-driven business capabilities.
  • Promote self-service analytics and data-driven decision-making.
  • Manage and develop a high-performing analytics team.
  • Collaborate closely with Finance, Operations, and IT stakeholders.

Requirements

  • Bachelor’s degree in a related field or equivalent experience.
  • 7+ years of experience in data, analytics, business intelligence, or related areas.
  • Prior experience leading technical or analytics teams.
  • Strong background in data modeling, data architecture, and business intelligence.
  • Experience supporting financial and operational reporting.
  • Strong SQL skills and experience with Python or another programming language.
  • Hands-on experience with BI tools such as Power BI.
  • Knowledge of data integration, ETL/ELT processes, and enterprise data platforms.
  • Excellent communication skills with the ability to collaborate across business and technical teams.

Preferred Experience

  • Modern data ecosystem experience (ERP, CRM, cloud data platforms).
  • Data governance, master data management, and data lineage experience.
  • Exposure to AI, predictive analytics, and advanced reporting solutions.
  • Experience working in complex or global organizations.

Benefits & conditions

  • Opportunity to influence enterprise-wide data strategy.
  • High-visibility role partnering with leadership teams.
  • Blend of leadership and hands-on technical work.
  • Competitive compensation and comprehensive benefits.

Benefits

  • Company contributions toward medical, dental, and vision insurance premiums
  • Tax-advantaged Health Savings Accounts (HSA) for medical expenses
  • Flexible Spending Accounts (FSA) for dependent care expenses
  • Company-paid contributions to 401(k), disability, and life insurance
  • Complimentary personal financial planning support
  • Paid vacation, sick leave, and holidays
  • Access to an Employee Assistance Program (EAP)
  • Flexible work and work-from-home options (role-dependent)
  • Reimbursement programs for personal and professional growth

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

9:51 min

Live demonstration of dynamic data redaction plugins

Tom Kaltofen Tom Kaltofen +1 · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · WWC Europe 2026

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

1:53 min

Mapping end-to-end data lineage for regulatory compliance

Ferd Scheepers · WWC 2022

Videos

See all

Related articles

See all