ZipRecruiter

Log In

1

Senior Data Analyst Developer Jobs in Minnesota (NOW HIRING)

ENIN SYSTEMS INC

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Experience with CI/CD, Git, Jenkins/GitHub Actions , and DevOps practices * Knowledge of Docker and ... AWS Certified Data Analytics / Solutions Architect * Databricks experience * Snowflake experience

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP ... This role combines data engineering, analytics, and business intelligence development to transform ...

Cliftonlarsonallen

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

Apex Systems

Principal Data Analyst

Eden Prairie, MN · On-site

$60 - $65/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Data Analyst / Senior Data Modeler to support enterprise data warehouse (EDW) and analytics ... Partner with cross-functional teams (data engineers, SMEs, architects) to deliver end-to-end data ...

Droisys

Sr. Data Quality Analyst

Minneapolis, MN

Position : Sr. Data Quality Analyst Location : Minneapolis MN Duration : 6+ months Interview format, phone screen followed by F2F Skype is possible Rate As per the market The candidate should have ...

Sanford Health

Senior Data Modeler

Bemidji, MN · Remote

$40/hr

The Senior Data Modeler leads collaboration with data architects, data engineers, and business stakeholders to translate complex business rules and analytical requirements into robust conceptual ...

previous pagenext page

Showing results 21-40

All JobsData Analyst Developer JobsSenior Data Analyst Developer JobsSenior Data Analyst Developer Jobs in Minnesota

Senior Data Analyst Developer information

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

What are popular job titles related to Senior Data Analyst Developer jobs in Minnesota?

For Senior Data Analyst Developer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Developer jobs in Minnesota look for?

The top searched job categories for Senior Data Analyst Developer jobs in Minnesota are:

What cities in Minnesota are hiring for Senior Data Analyst Developer jobs?

Cities in Minnesota with the most Senior Data Analyst Developer job openings:

Senior Data Analyst Developer jobs near you
Infographic showing various Senior Data Analyst Developer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sr Data & Insights Analyst - Data Operations

MoneyGram

Minneapolis, MN • On-site

$120K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

At MoneyGram, we're combining the strength of a trusted global brand with the agility of a tech-forward, growth driven culture. With 80+ years of experience and a presence in more than 200 countries and territories, we've built a foundation of stability and trust to help millions of people around the world send funds quickly, securely, and affordably.
We're looking for bold thinkers, builders, technologists, and sellers who want real ownership of their work, thrive in collaborative environments, and are energized by solving complex challenges. Here, you'll have the opportunity to make a measurable impact - fast.
If you're eager to shape the future of cross-border payments and financial services, join us as we transform how the world moves money.
We are seeking a versatile product analytics team member to support our growing product and engineering teams. In this role, you will help drive rapid, data-driven insights to inform product decisions around experiments, features, and product direction related to our core money transfer digital product. This is a full-time remote position open to candidates based in the US, offering the opportunity to work globally and influence product strategy across multiple areas of MoneyGram's product and technology offerings.
MoneyGram is in a period of rapid transformation through its re-founding. Examples of companies who successfully re-founded themselves are Microsoft, Apple, and Uber. We are looking for re-founders who can step into MoneyGram and help drive a fundamental reinvention of our strategy, culture, and ways of working while staying true to our mission. MoneyGram is a PE-backed private company building towards a near-term IPO.
What you will get to do as Senior, Data Analyst - Product Analytics
  • Analytics Re-Invention: AI has become the fundamental building block of many new platforms built in the last few years. You are willing to go beyond anything you've ever done before and rethink analytics from the ground up. "It's been done this way before" is not a benefit, but a defect.
  • Customer Experience and Product Performance: Craft and evolve the view of the customer experience through analytics and product metrics.
  • Experimentation & Optimization: Support and guide experimental frameworks (A/B tests, holdouts, geo testing, etc.) to measure the incremental impact of product presentation and feature releases. Partner with product and engineering to design data-driven insights that accelerate performance and growth. Provide stakeholders with the ability to measure the success of feature or functionality rollouts by pulling and organizing data into cohorts and measuring metrics based on cohort performance.
  • Insights & Reporting: Analyze and develop key insights into partner and customer behaviors and pain points to uncover opportunities for an improved experience.
  • Cross-Functional Collaboration: Collaborate closely with cross-functional teams - from Product, Sales, Marketing, Finance, and Regional/International teams - to align analytics initiatives with business goals. Use data to advise on go-to-market strategies for new product launches and to identify new growth opportunities and solutions to business challenges.
  • Technology & Automation: Champion best-in-class analytics tools and processes. Work with Product, Engineering, and Data Engineering to implement and leverage analytics platforms (BI tools, tag management, automation via APIs) that enhance product efficiency and scale. Stay abreast of industry trends and emerging technologies in product analytics, continuously seeking opportunities to improve our capabilities and methodologies.

What you will need to be successful
  • Product Analytics Expertise: 3-5+ years of experience in analytics or a related quantitative field, with meaningful focus on product analytics in a B2C or technology-driven company. Demonstrated ability to drive insights that directly inform product strategy and user experience.
  • Technical Skills: Strong hands-on skills in data analysis. Proficiency in SQL for querying and manipulating large datasets. Familiarity with analytics programming is a plus.
  • Data Visualization Skills: Strong experience with business intelligence and data visualization tools; Looker preferred, or similar BI platforms.
  • Data-Driven Mindset: Analytical thinker with an understanding of experiment design. Able to uncover insights from data and translate them into actionable recommendations and measurable results.
  • Communication & Influence: Excellent communication and interpersonal skills. Ability to distill technically complex data findings into clear, compelling narratives for both technical and non-technical audiences. Skilled at visual representation of insights, documenting, and presenting findings to stakeholders.
  • Cross-Functional Collaboration: Comfortable working cross-functionally and with stakeholders across the organization. Ability to build strong relationships with team members and technical partners and advise or partner with colleagues across varying backgrounds.
  • High-Growth & Global Experience: Thrives in a fast-paced, high-growth, and ambiguous environment. Global experience and the ability to shape insights for a global audience is highly valued.
  • Industry Background: Experience in direct-to-consumer online businesses is preferred; fintech or financial services experience is a strong. A passion for evolving products and using data to enhance the customer experience is essential.
  • Education: Bachelor's or equivalent practical experience in analytics. An advanced degree or relevant industry certifications in analytics is a bonus.

Join us to shape a data-driven product strategy and drive efficient, rapid growth at scale. If you are excited about building a world-class product analytics function and unlocking new growth opportunities with data, we'd love to hear from you.
The salary/pay rate listed below is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on the company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, and/or skill level.
Here Are Some Reasons You Will Love Working At MoneyGram!
  • Remote first flexibility
  • Generous PTO
  • 13 Paid Holidays
  • Medical / Dental / Vision Insurance
  • Life, Disability, and other benefits
  • 401k with competitive Employer Match
  • Community Service Days
  • Generous Parental Leave

MoneyGram does not sponsor US work authorizations for this job position including H-1Bs, O-1, and TN. MoneyGram also does not hire F-1s working on EAD for this position.
About MoneyGram
MoneyGram is a global payments network built to move money across borders with speed, simplicity and trust. Its omnichannel platform empowers consumers, developers and agents to transfer cash, fiat and stablecoin however it works best for them.
The company serves over 50 million customers a year across 200+ countries and territories, nearly half a million retail locations and a rapidly expanding digital ecosystem reaching billions of devices. As one of the most recognized and trusted names in global payments, MoneyGram continues to reinvent how money moves - helping people around the world support their loved ones and build better futures.
MoneyGram is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law.

Apply