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Data And Analytics Manager Jobs in Minnesota (NOW HIRING)

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

Analytics Manager

Bloomington, MN · On-site

$108K - $190K/yr

S. degree · 5-8+ years of relevant experience in analytics, data, consulting, or similar fields · ... management tools like Jira or Trello · Ability to develop business cases and KPIs, and translate ...

S. degree 5-8+ years of relevant experience in analytics, data, consulting, or similar fields ... project management tools like Jira or Trello Ability to develop business cases and KPIs, and ...

S. degree 5-8+ years of relevant experience in analytics, data, consulting, or similar fields ... project management tools like Jira or Trello Ability to develop business cases and KPIs, and ...

Healthcare Analytics Manager

Minneapolis, MN · On-site +1

$137K - $168K/yr

Bachelor's degree in Data Science, Business Analytics, Information Technology, Management ... Information Systems, or related field and 5 years of experience required as a Data Scientist, or ...

Bachelor's degree in Data Science, Business Analytics, Information Technology, Management ... Information Systems, or related field and 5 years of experience required as a Data Scientist, or ...

Amp Up Your Career We are seeking a Marketing Analytics Manager who is ready to join an ... Translate complex data into clear insights and recommendations that inform marketing and business ...

Amp Up Your Career We are seeking a Marketing Analytics Manager who is ready to join an ... Translate complex data into clear insights and recommendations that inform marketing and business ...

Data Analytics - Operations

Saint Paul, MN · Hybrid

$87K - $109K/yr

Manage multiple analytics initiatives while balancing priorities and deadlines * Ensure data quality, integrity, and adherence to governance standards * Continuously improve reporting processes and ...

Insights & Analytics Manager

Hopkins, MN · On-site

$93K - $154K/yr

We're looking for a new Manager of Insights & Analytics to work in our new corporate headquarters ... Drive facilitation and delivery of Circana data with senior leaders while providing context and ...

Analyze sales data to identify trends, patterns, and opportunities for improvement. * Develop and ... Manage and mentor a team of sales analysts, fostering a culture of continuous improvement and agile ...

Analyze sales data to identify trends, patterns, and opportunities for improvement. * Develop and ... Manage and mentor a team of sales analysts, fostering a culture of continuous improvement and agile ...

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Showing results 1-20

Data And Analytics Manager information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data and analytics manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data and analytics manager in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data and Analytics Manager, and why are they important?

To thrive as a Data and Analytics Manager, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a degree in a quantitative field and experience in data management. Proficiency with tools like SQL, Python, Tableau, and data warehousing systems, as well as relevant certifications such as Certified Analytics Professional (CAP), is highly valuable. Strong leadership, communication, and problem-solving skills set top performers apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What are top 3 soft skills for a data analyst?

For a Data and Analytics Manager, the top three soft skills for a data analyst are communication, critical thinking, and collaboration. These skills enable analysts to interpret data effectively, present insights clearly, and work well within teams to support decision-making. Strong interpersonal skills and adaptability are also valuable in dynamic data environments.

What are some common challenges faced by Data and Analytics Managers when implementing data-driven initiatives in organizations?

Data and Analytics Managers often encounter challenges such as integrating data from disparate sources, ensuring data quality and governance, and aligning data strategies with business goals. They must also navigate organizational resistance to change, educate stakeholders on the value of analytics, and stay updated on rapidly evolving technologies. Successfully overcoming these challenges requires strong communication, project management skills, and a proactive approach to stakeholder engagement.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a Data and Analytics Manager involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI is a complement to data analysts, enhancing productivity rather than fully replacing them. Skills in data visualization, critical thinking, and understanding business context remain essential for the role.

What does a data analytics manager do?

A data analytics manager oversees the collection, analysis, and interpretation of data to support business decision-making. They lead data teams, develop analytics strategies, and use tools like SQL, Python, or Tableau to generate insights that improve organizational performance.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Chief Data Officer, Data Science Director, and Senior Data Scientist, often requiring advanced skills in machine learning, big data tools, and leadership. These positions can offer six-figure salaries, especially in large organizations or industries like finance and technology.

What are Data and Analytics Managers?

Data and Analytics Managers are professionals responsible for overseeing an organization's data strategy, including data collection, storage, analysis, and reporting. They manage teams of data analysts and data scientists, ensuring data quality and developing insights that inform business decisions. Their role often involves collaborating with other departments to identify data needs, selecting appropriate tools and technologies, and ensuring compliance with data governance policies. Data and Analytics Managers play a crucial role in helping companies leverage data to drive growth and efficiency.
What are popular job titles related to Data And Analytics Manager jobs in Minnesota? For Data And Analytics Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data And Analytics Manager jobs in Minnesota look for? The top searched job categories for Data And Analytics Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Data And Analytics Manager jobs? Cities in Minnesota with the most Data And Analytics Manager job openings:
Infographic showing various Data And Analytics Manager job openings in Minnesota as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.
M&A Data Analytics Manager - LSHC

M&A Data Analytics Manager - LSHC

Deloitte

Minneapolis, MN

Other

Medical, Vision, Life

Posted 5 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

58th of 150 rated financial services


Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges in complex and highly regulated environments, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

This role will focus on transactions within the Life Sciences & Health Care (LSHC) sector, including medical devices, pharmaceuticals, CRO/CDMO, distribution, healthcare providers, payors, and healthtech.

Recruiting for this role ends on 07/27/2026


Work you'll do:

As a Manager, Strategy, Growth, and Transformation on the M&A team, you will be a key member serving client M&A deal teams through gathering, analyzing, validating, and normalizing transactional, commercial, and operational data (e.g., product-level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel data) to develop and test hypotheses for a given M&A deal.

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in regulated life sciences and healthcare environments and utilize your visual analytics skills to tell a compelling story of our findings around revenue quality, pricing realization, reimbursement exposure, and operational performance.

You will be using business intelligence tools and your data analytic skillset to provide meaningful insights to our clients that are crucial to their deal investment hypothesis. You will leverage your client service skillset directly interacting with C-suite and private equity executives providing advice on some of the most critical aspects of the M&A transaction within the Life Sciences & Health Care sector.

  • Coordinate with client business and IT personnel to identify, collect and validate transactional and operational data within highly regulated environments
  • Analyze product- and customer-level revenue and margin trends, pricing realization, customer concentration, rebate structures, and chargebacks common in life sciences distribution models
  • Assess revenue quality, payer mix, reimbursement exposure, and contract dynamics within healthcare services and medical products businesses
  • Design and develop visualizations and dashboards that deliver crucial financial and operational buy and sell-side insights
  • Analyze financial & key performance indicator deal data for trends and outliers
  • Directly advise clients

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a 'back-office' position; this is front-line client interaction with significant opportunity for growth and advancement.

  • You will also lead and mentor a team of consultants, fostering professional development, promoting collaboration, and establishing clear expectations when working together towards client deliverables on projects.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle.

Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process in environments with complex pricing, reimbursement, regulatory, and supply chain considerations.

Qualifications

Required:

  • Bachelor's Degree in Accounting, Finance, Mathematics, Statistics, Economics or similar
  • Minimum 5 years of experience analyzing large datasets
  • Experience analyzing or managing accounting, financial or transactional data
  • Experience working within life sciences, healthcare, pharmaceutical, medical device, biotech, healthcare services, or other regulated industries
  • Strong understanding of multiple business cycles (e.g., Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
  • Understanding of revenue models common to life sciences and healthcare, including distributor models, government and GPO contracts, capitation and membership, and reimbursement dynamics
  • Demonstrated knowledge of business analytics and relational database concepts
  • Experience leveraging AI tools to extract and visualize insights from large data sets
  • Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.)
  • Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts, etc.)
  • Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred:

  • Prior experience at a large or mid-size consulting firm focused on finance or accounting services
  • Experience in healthcare or life sciences transactions
  • Minimum of 2+ years of experience managing teams in a consulting environment
  • Strong working knowledge of data structures and database design 
  • Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages
  • Experience presenting recommendations to senior executive stakeholders
  • Master of Business Administration or similar degree
  • CPA, CA certification

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges in complex and highly regulated environments, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

This role will focus on transactions within the Life Sciences & Health Care (LSHC) sector, including medical devices, pharmaceuticals, CRO/CDMO, distribution, healthcare providers, payors, and healthtech.

Recruiting for this role ends on 07/27/2026


Work you'll do:

As a Manager, Strategy, Growth, and Transformation on the M&A team, you will be a key member serving client M&A deal teams through gathering, analyzing, validating, and normalizing transactional, commercial, and operational data (e.g., product-level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel data) to develop and test hypotheses for a given M&A deal.

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in regulated life sciences and healthcare environments and utilize your visual analytics skills to tell a compelling story of our findings around revenue quality, pricing realization, reimbursement exposure, and operational performance.

You will be using business intelligence tools and your data analytic skillset to provide meaningful insights to our clients that are crucial to their deal investment hypothesis. You will leverage your client service skillset directly interacting with C-suite and private equity executives providing advice on some of the most critical aspects of the M&A transaction within the Life Sciences & Health Care sector.

  • Coordinate with client business and IT personnel to identify, collect and validate transactional and operational data within highly regulated environments
  • Analyze product- and customer-level revenue and margin trends, pricing realization, customer concentration, rebate structures, and chargebacks common in life sciences distribution models
  • Assess revenue quality, payer mix, reimbursement exposure, and contract dynamics within healthcare services and medical products businesses
  • Design and develop visualizations and dashboards that deliver crucial financial and operational buy and sell-side insights
  • Analyze financial & key performance indicator deal data for trends and outliers
  • Directly advise clients

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a 'back-office' position; this is front-line client interaction with significant opportunity for growth and advancement.

  • You will also lead and mentor a team of consultants, fostering professional development, promoting collaboration, and establishing clear expectations when working together towards client deliverables on projects.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle.

Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process in environments with complex pricing, reimbursement, regulatory, and supply chain considerations.

Qualifications

Required:

  • Bachelor's Degree in Accounting, Finance, Mathematics, Statistics, Economics or similar
  • Minimum 5 years of experience analyzing large datasets
  • Experience analyzing or managing accounting, financial or transactional data
  • Experience working within life sciences, healthcare, pharmaceutical, medical device, biotech, healthcare services, or other regulated industries
  • Strong understanding of multiple business cycles (e.g., Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
  • Understanding of revenue models common to life sciences and healthcare, including distributor models, government and GPO contracts, capitation and membership, and reimbursement dynamics
  • Demonstrated knowledge of business analytics and relational database concepts
  • Experience leveraging AI tools to extract and visualize insights from large data sets
  • Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.)
  • Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts, etc.)
  • Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred:

  • Prior experience at a large or mid-size consulting firm focused on finance or accounting services
  • Experience in healthcare or life sciences transactions
  • Minimum of 2+ years of experience managing teams in a consulting environment
  • Strong working knowledge of data structures and database design 
  • Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages
  • Experience presenting recommendations to senior executive stakeholders
  • Master of Business Administration or similar degree
  • CPA, CA certification

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to sk...


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