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Senior Data Analyst Jobs in Rochester, MN (NOW HIRING)

Lantern

Strategy Analyst

Rochester, MN · On-site

Analyze claims and cost savings data to drive insights for reporting and product improvement ... for senior leadership and stakeholders * Work cross-functionally with commercial, analytics ...

EverCommerce

Analyst, Growth

Rochester, MN · On-site

$75K - $85K/yr

You'll work closely with the Senior Manager, Strategic Growth and cross-functional stakeholders to analyze data, synthesize insights, and help drive execution across a variety of projects. This is a ...

Genesis10

Senior Software Engineer - Remote

Rochester, MN · On-site

$80 - $85/hr

Develop services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning * Participate in DevOps, Agile, continuous development and integration ...

GDIT

Network Engineer Senior

Rochester, MN

$107K - $141K/yr

Provide tactical data link expertise to support joint, coalition, and mission partner ... Strong communication, analytical problem-solving, technical writing, customer engagement, and ...

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Showing results 1-20

All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Rochester, MN

Senior Data Analyst information

See Rochester, MN salary details

$53.7K

$96.9K

$132.3K

How much do senior data analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for senior data analyst in Rochester, MN is $96,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $105,900.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Rochester, MN? The most popular types of Data Analyst jobs in Rochester, MN are:
What job categories do people searching Senior Data Analyst jobs in Rochester, MN look for? The top searched job categories for Senior Data Analyst jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Senior Data Analyst jobs? Cities near Rochester, MN with the most Senior Data Analyst job openings:
Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Rochester, MN as of July 2026, with employment types broken down into 87% Full Time, 2% Temporary, and 11% Contract. Highlights an 66% In-person, 14% Hybrid, and 20% Remote job distribution, with an average salary of $96,877 per year, or $46.6 per hour.
Senior Software Engineer / BI Developer (GCP, Power BI, Tableau)

Senior Software Engineer / BI Developer (GCP, Power BI, Tableau)

Expleo

Rochester, MN • Remote

$71 - $81/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Overview

Location: Remote within USA

Employment Type: W2 Contract

Are you a senior-level engineer who thrives at the intersection of data, analytics, and scalable cloud services? Trissential is hiring a Senior Software Engineer / BI Developer to join our client's team, where you'll play a pivotal role in building modern, cloud-based data solutions that directly support clinical and analytics-driven applications. This is your opportunity to work on cutting-edge platforms-combining GCP, Power BI, Tableau, and advanced analytics-while making a meaningful impact.

What's in It for You?

  • High-Impact Work - Build and optimize data-driven applications that support clinical insights and decision-making
  • Modern Tech Stack - Work with GCP, BigQuery, Power BI, Tableau, and evolving analytics platforms
  • Ownership & Influence - Own the semantic layer and help drive the BI transition roadmap
  • Innovation & Growth - Engage with cutting-edge cloud, big data, and machine learning technologies
  • Collaborative Culture - Partner with product, data engineering, and architecture teams to deliver real outcomes

Your Role & Responsibilities

  • Design and build scalable backend services supporting analytics and clinical applications
  • Own and optimize the semantic layer across SAS, MCC, and Power BI environments
  • Develop high-performance Power BI datasets, reports, and dashboards (advanced DAX required)
  • Maintain and modernize Tableau dashboards, transitioning them into Power BI where appropriate
  • Query and model large datasets using GCP BigQuery for analytics consumption
  • Contribute to microservices architecture ensuring reliability, scalability, and performance
  • Collaborate with product owners, architects, and engineers to translate business requirements into solutions
  • Maintain and interpret legacy SAS environments, supporting transition efforts
  • Perform deep-dive troubleshooting and root cause analysis for data and system issues
  • Document datasets, reporting logic, and data lineage to enable self-service analytics
  • Mentor junior engineers and contribute to cross-functional improvement initiatives

Skills & Experience You Should Possess

  • 7+ years in data, software engineering, or analytics roles
  • 5+ years of hands-on BI development experience
  • Advanced expertise in:
    • Power BI (DAX, data modeling, RLS, performance tuning)
    • Tableau (complex dashboard development and maintenance)
  • Strong SQL skills with experience in large-scale data environments
  • Experience with GCP / BigQuery (data modeling, performance optimization)
  • Knowledge of backend development using languages such as Python, Java, Go, or C#
  • Experience building scalable, distributed systems and cloud-native applications
  • Strong understanding of software development lifecycle (SDLC), Agile, and DevOps practices
  • Excellent communication skills with the ability to work across technical and business teams

Bonus Points If You Have:

  • Experience working with SAS in legacy or transitional environments
  • Knowledge of healthcare data compliance (HIPAA, PHI handling, row-level security)
  • Experience with machine learning, data science workflows, or advanced analytics
  • Familiarity with Power Query (M), Python, or R
  • Exposure to data warehousing and enterprise BI platform migrations

Education & Certifications You Need:

  • Bachelor's degree in Computer Science, Engineering, or related field (required)
  • Master's degree in a relevant field (preferred)
  • Relevant cloud certifications (AWS, Azure, or GCP) are a plus

What We Offer

At Trissential, we believe in empowering top talent with meaningful work, competitive pay, and a supportive environment. By joining our client's team, you'll work on impactful projects while advancing your career.

  • Competitive Compensation -$71-$81 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off - Offers paid time away from work
  • Remote Flexibility - Work from anywhere within the U.S.
  • Career Growth - Access to advanced technologies, training, and leadership opportunities
  • Collaborative Environment - Work alongside top-tier engineers and data professionals

This role is open only to candidates authorized to work in the United States.

Ready to Elevate Your Career?

If you're passionate about building scalable data solutions and want to work with a forward-thinking team leveraging the latest in analytics and cloud technology, this is your moment.

Apply today and take the next step in your journey with Trissential!

Employment Type: OTHER

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