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Program Manager Data Analytics Jobs in Minnesota

... data center computing and healthcare. Advanced Energy has devoted four decades to perfecting power ... Strong analytical and problem-solving tools * Good interpersonal skills. * Capable of team building ...

Program Manager

Plymouth, MN · On-site

$128K - $160K/yr

The Program Manager provides business and execution leadership for one or more projects, with ... Ability to analyze complex data to drive decision-making. * Ability to travel up to 25% of time ...

Drives program effectiveness through data analysis, defining KPIs, monitoring outcomes, and implementing continuous improvements. * Manages and optimizes program systems and tools (e.g., scholarship ...

Program Manager

Plymouth, MN · On-site

$128K - $160K/yr

The Program Manager provides business and execution leadership for one or more projects, with ... Ability to analyze complex data to drive decision-making. * Ability to travel up to 25% of time ...

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Program Manager Data Analytics information

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

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

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.
What are popular job titles related to Program Manager Data Analytics jobs in Minnesota? For Program Manager Data Analytics jobs in Minnesota, the most frequently searched job titles are:
Infographic showing various Program Manager Data Analytics job openings in Minnesota as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Senior Consultant, Data Analytics & Reporting - Ag & Trading

Senior Consultant, Data Analytics & Reporting - Ag & Trading

Cargill

Wayzata, MN • On-site

$107K - $183K/yr

Full-time

Posted 11 hours ago


Cargill rating

7.5

Company rating: 7.5 out of 10

Based on 218 frontline employees who took The Breakroom Quiz

17th of 48 rated food wholesalers


Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.
Job Purpose and Impact
  • The Senior Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With minimal supervision, this job collaborates with cross functional teams to ensure data accuracy and integrity performing data and statistical analysis using various programming languages. This job plays a key role in effectively presenting data findings to partners to meet business objectives.

Key Accountabilities
  • DATA COLLECTION & ANALYSIS: Captures, processes, prepares, and analyzes complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
  • STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partner's relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
  • REPORTING & VISUALIZATION: Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
  • STATISTICAL ANALYSIS: Performs statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
  • PROCESS IMPROVEMENT: Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
  • COLLABORATION: Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
  • LITERACY: Coaches and advises to mature data consumption and analytics capabilities.
  • DATA ANALYSIS: Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
  • QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses.
  • #LI-RJ2 #LI-Hybrid

Qualifications
  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
  • Proficiency with SQL and ability to understand relational data models.
  • Proficiency with PowerBI.

Preferred Qualifications:
  • Experience with SAP and Salesforceproficiency with python experience with advanced analytic algorithms, including regression, clustering, time series forecasting.

The expected salary for this position is $107,000.00 - 183,000.00 USD. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions)
Equal Opportunity Employer, including Disability/Vet.

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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US