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Head Of Data & Analytics Jobs in Minnesota (NOW HIRING)

Trelleborg

Director of Data Analytics and AI

Plymouth, MN · On-site

$160K - $205K/hr

Define and manage processes for creation and maintenance of master data * Lead digital transformation initiatives including AI, analytics, and data platforms * Identify opportunities for AI-driven ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics * 1+ years of relevant experience in data analytics ...

Coloplast

Data & Analytics, Manager

Minneapolis, MN · On-site

As the leader of our Data and Analytics team, you will guide a talented group of analysts and engineers in designing and scaling solutions that drive informed decision-making across the organization.

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics * 1+ years of relevant experience in data analytics ...

Allina Health

Data Analyst

Minneapolis, MN · On-site +1

$32.92 - $45.12/hr

Provides technical and educational support to users of data analytics tools, documentation and processes. * Quality Analysis * Collaborates in developing appropriate analytic strategies for quality ...

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Head Of Data Analytics information

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$32.3K

$79.8K

$137.1K

How much do head of data & analytics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for head of data & analytics in Minnesota is $79,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $94,500.00 per year, depending on experience, location, and employer.

What does a head of data & analytics do?

A Head of Data & Analytics is responsible for overseeing an organization's data strategy, ensuring data collection, management, and analysis align with business goals. They lead data teams, develop analytics frameworks, and implement technologies to drive data-driven decision-making. Their role also includes ensuring data governance, compliance, and security while optimizing data insights to improve performance. Effective communication with stakeholders is crucial to translating analytics into business value.

What are the key skills and qualifications needed to thrive as a head of data & analytics?

To thrive as a Head Of Data & Analytics, you need extensive experience in data management, analytics methodologies, strategic leadership, and a relevant advanced degree such as in data science, computer science, or statistics. Proficiency with data warehousing, business intelligence platforms, programming languages like Python or SQL, and certifications such as Certified Analytics Professional (CAP) or Google Data Analytics are commonly expected. Outstanding communication, stakeholder management, and team-building skills distinguish top candidates in this position. These capabilities are crucial for guiding data strategy, driving data-driven decision-making, and successfully leading multidisciplinary analytics teams.

What is the role of the head of data & analytics?

The head of data & analytics is responsible for developing and implementing data strategies, overseeing data collection, management, and analysis to support business decision-making. They lead data teams, ensure data quality, and often work with tools like SQL, Python, or data visualization software to turn data into actionable insights.

What are popular job titles related to Head Of Data & Analytics jobs in Minnesota?

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What job categories do people searching Head Of Data & Analytics jobs in Minnesota look for?

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Cities in Minnesota with the most Head Of Data & Analytics job openings:

Head Of Data Analytics jobs near you
Infographic showing various Head Of Data & Analytics job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,840 per year, or $38.4 per hour.

Director of Data Analytics and AI

Trelleborg

Plymouth, MN • On-site

$160K - $205K/hr

Full-time

Re-posted 18 days ago

Trelleborg rating

8.2

Company rating: 8.2 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

84th of 545 rated manufacturers

Job description

Tasks and Responsibilities

  • Develop and execute enterprise-wide data, digital, and AI strategy
  • Establish and enforce data governance policies, standards, and frameworks
  • Design and implement master data architecture, models, and hierarchies
  • Ensure master data accuracy and consistency across customer, product, vendor, and operational domains
  • Define and manage processes for creation and maintenance of master data
  • Lead digital transformation initiatives including AI, analytics, and data platforms
  • Identify opportunities for AI-driven optimization in operations and decision-making
  • Develop reporting standards, dashboards, and advanced analytics capabilities
  • Monitor emerging technologies and implement innovative digital solutions
  • Establish AI governance including model lifecycle and risk management
  • Lead, develop, and mentor global data and AI teams
  • Collaborate with cross-functional stakeholders to align initiatives with business priorities
  • Manage Data & AI budget and ensure cost efficiency and ROI
  • Conduct data quality reviews, audits, and continuous improvement initiatives

Education and Experience

  • Degree in Computer Science, Data Science, Information Management, or related field
  • 10+ years of relevant experience in data, analytics, or digital leadership roles
  • Proven experience in data governance and master data management
  • Strong experience in enterprise data architecture and analytics platforms
  • Experience leading digital transformation and AI initiatives
  • Experience in global / multi-site environments
  • Knowledge of data privacy regulations (e.g., GDPR, ITAR)
  • Fluent English (spoken and written)

Competencies

  • Strategic thinking and strong business acumen
  • Leadership and team development capability
  • Strong communication and stakeholder management skills
  • Advanced analytical and problem-solving skills
  • Ability to interpret complex data and drive insights
  • Financial and budget management capability
  • Strong execution and results orientation

Key Performance Indicators

  • Data quality and master data accuracy
  • Adoption of governance frameworks
  • ROI of Data & AI initiatives
  • Improvement in reporting efficiency and time-to-insight
  • Adoption of analytics tools
  • Stakeholder satisfaction

Travel required during key transformation phases, domestic and international (estimated <20%)

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