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Senior Data Associate Jobs in Minnesota (NOW HIRING)

Mayo Clinic

Senior Data Engineer

Rochester, MN · On-site

$103K - $140K/yr

We are seeking a talented Senior Data Engineer to join our Advanced Data Lake (ADL) team. This is ... OR an Associate's degree in a relevant field such as engineering, mathematics, computer science ...

Mayo Clinic

Senior Data Engineer

Rochester, MN · On-site +1

$103K - $140K/yr

Responsibilities We are seeking a talented Senior Data Engineer to join our Advanced Data Lake (ADL ... OR an Associate's degree in a relevant field such as engineering, mathematics, computer science ...

Apogee

Senior Data Operations Analyst

Owatonna, MN

$21 - $28/hr

Ensuring data and process consistency and control is critical to the position. The role also ... Associates Degree in accounting or similar or 5 years of relevant experience * Formal or informal ...

Mortenson

Data Solutions Senior Developer

Minneapolis, MN · On-site

$114K - $171K/yr

Job Summary The Data Solutions Senior Developer is a technical leader responsible for designing ... Mentor Associate and Software Developer level team members through code reviews, design guidance ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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Senior Data Associate information

What jobs pay 200,000 a year in the USA?

Senior Data Associates typically do not earn $200,000 annually; however, senior roles in data science, analytics, or engineering with advanced skills, certifications, and experience can reach or exceed this salary level. High-paying roles often require expertise in programming, statistical analysis, and familiarity with tools like SQL, Python, or cloud platforms, along with leadership responsibilities or specialized knowledge.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $100,000 to $130,000 annually, depending on factors such as industry, location, experience, and company size. In some regions and specialized sectors, salaries may exceed this range, especially for those with advanced skills in data visualization, SQL, and statistical analysis.

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

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data associate or entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications. Success depends on your ability to learn and adapt, not age.

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

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

What does a data associate do?

A senior data associate is responsible for collecting, organizing, and analyzing large datasets to support business decisions. They often use tools like Excel, SQL, or data visualization software and ensure data accuracy and integrity in their work environment.

What are Senior Data Associates?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do Senior Data Associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.
What are popular job titles related to Senior Data Associate jobs in Minnesota? For Senior Data Associate jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Senior Data Associate jobs in Minnesota look for? The top searched job categories for Senior Data Associate jobs in Minnesota are:
What cities in Minnesota are hiring for Senior Data Associate jobs? Cities in Minnesota with the most Senior Data Associate job openings:
Senior Data Associate jobs near you
Senior Data Scientist

Senior Data Scientist

Blue Cross and Blue Shield of Minnesota

Eagan, MN • On-site

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Blue Cross Blue Shield Of Minnesota rating

5.3

Company rating: 5.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

270th of 281 rated insurance

Job description

About Blue Cross and Blue Shield of Minnesota
At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us.
The Impact You Will Have
Blue Cross and Blue Shield of Minnesota is looking for a Senior Data Scientist on our Methods Analytics team!
The Senior Data Scientist on the Identification & Stratification Method Analytics team leads the design, development, and continuous improvement of data-driven processes that identify and prioritize members for care management and utilization management programs. This role focuses on applying statistical and population health methodologies-rather than heavy technical engineering-to analyze member populations, uncover insights, and guide program targeting strategies.
This position is responsible for building and maintaining production identification and stratification workflows that run on a recurring cadence (daily, weekly, monthly) to support both internal care management teams and external vendor programs. The Senior Data Scientist collaborates closely with clinical, product, and analytics partners to refine existing methodologies, develop new identification approaches, and ensure alignment with evolving business and care delivery goals.
The ideal candidate brings a strong healthcare background-such as population health or epidemiology-with deep expertise in statistical analysis, experience working with care management or utilization management concepts, and a collaborative, problem-solving mindset.
Your Responsibilities
  • Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation.
  • Lead-by-example junior data scientists around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation.
  • Work with business partners to convert ambiguous business problems in clear data science/ML specifications. Use contextual business acumen to convert model predictions/results into impactful insights and provide actionable guidance on risks and limitations.
  • Drive conversations with product managers, data engineers, and subject matter experts to ship new models, algorithms and improvements continuously and collaboratively into production.
  • Use combination of machine learning knowledge and contextual business acumen to convert results into impactful insights and provide actionable guidance on risks and limitations of model.
  • Write narrative documents for model specification and performance analysis to communicate findings and recommendations to teammates, stakeholders and executive leadership.

Required Skills and Experience
  • 5+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
  • Hands-on experience in analytics and data science (specific areas of interest include classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning).
  • Solid demonstrable proficiency in data science tools such as Python, R, Spark, SQL.
  • Experience implementing predictive algorithms and associated statistical analysis/inference in a data science/ML workflow manipulating both structured and unstructured data.
  • Experience crafting and communicating highly technical results to a diverse audience.
  • Comfortable working as part of a team and taking the lead.
  • High school diploma (or equivalency) and legal authorization to work in the U.S.

Preferred Skills and Experience
  • Bachelor's degree.
  • Experience with health care data
  • Experience with AWS tools
  • Experience with version control (for example Git Version Control system)
  • Proficiency with Data Bricks or similar tools

Role Designation
Hybrid
Anchored in Connection
Our hybrid approach is designed to balance flexibility with meaningful in-person connection and collaboration. We come together in the office two days each week - most teams designate at least one anchor day to ensure team interaction. These in-person moments foster relationships, creativity, and alignment. The rest of the week you are empowered to work remote.
Compensation and Benefits
$90,800.00 - $120,300.00 - $149,800.00 Annual
Pay is based on several factors which vary based on position, including skills, ability, and knowledge the selected individual is bringing to the specific job.
We offer a comprehensive benefits package which may include:
  • Medical, dental, and vision insurance
  • Life insurance
  • 401k
  • Paid Time Off (PTO)
  • Volunteer Paid Time Off (VPTO)
  • And more

To discover more about what we have to offer, please review our benefits page.
Equal Employment Opportunity Statement
At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. Blue Cross of Minnesota is an Equal Opportunity Employer and maintains an Affirmative Action plan, as required by Minnesota law applicable to state contractors. All qualified applications will receive consideration for employment without regard to, and will not be discriminated against based on any legally protected characteristic.
Individuals with a disability who need a reasonable accommodation in order to apply, please contact us at: talent.acquisition@bluecrossmn.com.
Blue Cross® and Blue Shield® of Minnesota and Blue Plus® are nonprofit independent licensees of the Blue Cross and Blue Shield Association.

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