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Data Analyst Python Sql Jobs in Inver Grove Heights, MN

UnitedHealth Group

Senior Data Analyst

Eden Prairie, MN · On-site

$91K - $163K/yr

... SQL queries to extract, clean, and manipulate data from large relational databases * 3+ years of ... Knowledge of statistical analysis or basic machine learning techniques (e.g., Python, R, SAS) *All ...

UnitedHealth Group

Data Analyst - Remote

Eden Prairie, MN · Remote

$71K - $127K/yr

Required Qualifications: * 5 years of experience as a Business Analyst or Data Analyst * 3 years of experience working with relational databases & database structures (such as SQL or Oracle) * 2 ...

Mortenson

Data Analyst - Finance

Minneapolis, MN

$72K - $109K/yr

SQL & Data Preparation * Write and maintain SQL queries to support reporting and analytics * Perform data validation and reconciliation to ensure accuracy * Partner with stakeholders to understand ...

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How much do data analyst python sql jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data analyst python sql in Inver Grove Heights, MN is $86,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $101,300.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Inver Grove Heights, MN look for? The top searched job categories for Data Analyst Python Sql jobs in Inver Grove Heights, MN are:
What cities near Inver Grove Heights, MN are hiring for Data Analyst Python Sql jobs? Cities near Inver Grove Heights, MN with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Senior Data Analyst

Senior Data Analyst

UnitedHealth Group

Eden Prairie, MN • On-site

$91K - $163K/yr

Full-time

Retirement

Posted 12 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 880 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology, to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come makes an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
As a Senior Data Analyst, you will play a critical role in transforming complex datasets into actionable business intelligence. You will analyze large and diverse datasets to uncover key insights, design and automate interactive dashboards, and drive strategic initiatives. Operating in a collaborative and forward-thinking environment, you will partner closely with key business stakeholders to define metrics and deliver data-driven solutions that help shape decision-making.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Analyze large, complex datasets to identify trends, patterns, and performance drivers, interpreting results to provide clear, actionable business recommendations
  • Develop, track, and maintain key performance indicators (KPIs) and operational metrics to support key business initiatives Responsible for reporting and analysis of provider data to aid in provider account management, development of dashboards and creation of new reports as appropriate
  • Build, optimize, and maintain interactive dashboards, reports, and data visualizations (e.g., Power BI, Tableau) to enhance self-service reporting
  • Automate reporting processes to improve data accessibility, consistency, and efficiency across the department
  • Validate, cleanse, and transform datasets to ensure data quality, integrity, and strict adherence to governance standards
  • Support data modeling, standardization, and master data management efforts
  • Partner with cross-functional stakeholders to gather business requirements and translate them into analytical solutions and decision-support cases
  • Communicate analytical findings and data-driven insights effectively to both technical and non-technical audiences
  • Identify continuous improvement opportunities in data pipelines, reporting efficiency, and analytical methodologies
  • Contribute to best practices within the analytics team and support junior analysts through informal mentoring

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 5+ years of experience in data analytics, reporting, business intelligence, or a related field
  • 5+ years of experience writing SQL queries to extract, clean, and manipulate data from large relational databases
  • 3+ years of experience designing, building, and maintaining interactive dashboards in Power BI, Tableau, or similar BI tools
  • 3+ years of experience performing data manipulation, analysis, and utilizing advanced functions within Microsoft Excel
  • 3+ years of experience partnering with business stakeholders to gather requirements and translate business needs into data requirements

Preferred Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, or a related field
  • Experience working with cloud data platforms (e.g., Azure, Databricks, Snowflake)
  • Experience with data modeling and ETL (Extract, Transform, Load) processes
  • Experience working within a healthcare or highly regulated environment (e.g., CMS guidelines, quality reporting, STARS rating support)
  • Knowledge of statistical analysis or basic machine learning techniques (e.g., Python, R, SAS)

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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