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Data Analyst Python Sql Jobs in Inver Grove Heights, MN

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

Experience using SQL to query databases and explore data * Familiarity with Python, R, or another ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

Experience using SQL to query databases and explore data * Familiarity with Python, R, or another ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Data Analyst

Minneapolis, MN · On-site

$49K - $66K/yr

Experience using SQL to query databases and explore data * Familiarity with Python, R, or another ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Advanced proficiency with SQL, Excel, Python, and data visualization tools * Strong written, presentation, and interpersonal communication skills * Experience with predictive analytics or statistical ...

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Advanced proficiency with SQL, Excel, Python, and data visualization tools * Strong written, presentation, and interpersonal communication skills * Experience with predictive analytics or statistical ...

... in Data Warehousing - business or data analysis experience in data warehousing 2+ years of ... Toad, or Teradata SQL Assistant 5+ years of experience with process improvement, workflow ...

Data gathering and analysis as part of assigned tasks and projects * Creating data visualization as ... Ability to create SQL or MS Access queries and reports. * Experience using Tableau or similar data ...

Our Data Analyst will play a crucial role in supporting the data and analytics needs of our ... Experience with data visualization tools, data querying (SQL) and data interpretation skills.

... using Java, Python, APIs, and SQL. • Support data transformation, batch processing, and ... systems analysis, and communication skills. • Knowledge of MDM, customer master data, and data ...

Technical Master Data Analyst Collaborate with Innovative 3Mers Around the World Choosing where to ... Strong handson experience with Java, Python, APIs, SQL, and data transformation. Proven experience ...

Senior Data Analyst

Minnetonka, MN · On-site

$87K - $110K/yr

Strong proficiency in SQL (5+ years experience) * Strong Data Analysis and Business Analysis skills * Experience with SDLC and Agile methodologies (5+ years total experience) * Experience in Data ...

Senior Data Analyst

Eden Prairie, MN · Remote

$87K - $110K/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 ...

Senior Data Analyst

Eden Prairie, MN · Remote

$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 ...

Senior Data Analyst

Eden Prairie, MN · On-site

$87K - $110K/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 ...

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Data Analyst Python Sql information

See Inver Grove Heights, MN salary details

$35.5K

$86.3K

$142K

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

As of Jul 7, 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

Data Analyst

Gravie

Minneapolis, MN • Hybrid

$49K - $66K/yr

Full-time

Medical, Retirement, PTO

Posted 25 days ago


Job description

Hi, we're Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.


We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis central to the management and development of Gravie's innovative healthcare solutions, including our flagship level-funded and self-funded health benefits. You'll have a particular opportunity to dig into Individual Coverage Health Reimbursement Arrangements (ICHRAs), a fast-growing product reshaping how employers offer benefits. Join us as we reinvent the way people purchase and access healthcare.

This position is a hybrid position based in our NE Minneapolis office.  You must be able to work an average of three days a week in the office with the team.  We provide a paid parking spot or metro pass.

You Will:

  • Play a key role in helping Gravie to understand the performance of its business, understand new opportunities, and translate those insights into solutions that meaningfully improve the health benefits people get and the healthcare they receive.

  • Ask and answer the right questions, including: How are we doing? What should we continue doing? What should we stop doing?  What should we start doing in the future?

  • Take ownership of regular deliverables for various business units, leveraging multiple technologies to produce solutions that are consistent, accurate, and efficient.

  • Assist in the design and execution of diverse quantitative and qualitative analyses to support the evaluation, management, and growth of new and existing products for areas across the business. 

  • Use analytic and communication skills to tell stories with data, transforming basic and complex datasets into clear, actionable insights for both technical and non-technical audiences to influence business decisions and product roadmaps. 

  • Support a culture of using data to inform decisions within the organization.

  • Apply established quality assurance measures to ensure the accuracy, reliability, and consistency of all analytical deliverables.

  • Contribute to the design, development, and enhancement of our growing analytics platform by partnering with cross-functional teams to effectively integrate data insights into business strategies and product improvements, in a robust and scalable fashion.

  • Collaborate closely with other Analysts to share knowledge and best practices, fostering an environment of knowledge sharing and professional development.

You Bring:

  • Bachelor's degree, technical certification or equivalent experience required in Mathematics, Statistics, Data Science, Computer Science, Health Informatics, Economics, or other relevant area

  • 1+ years of experience in data analysis, business analytics, or a related field

  • Demonstrated analytical aptitude and problem-solving skills, with experience working with real-world datasets

  • Ability to translate data into business impact by crafting clear, data-driven narratives for stakeholders

  • Quantitative proficiency, including a solid understanding of basic mathematical and statistical concepts

  • Strong Microsoft Excel skills, including the ability to manipulate and analyze large and complex datasets

  • Experience using SQL to query databases and explore data

  • Familiarity with Python, R, or another statistical programming language

  • Excellent attention to detail with demonstrated accuracy and thoroughness

  • Strong verbal and written communication skills, with the ability to present findings clearly to technical and non-technical audiences

  • Habits of excellent organization, time management, and responsiveness

  • A flexible attitude and ability to work independently with limited direction

  • An appetite for learning and quickly putting what you learn into practice

  • Demonstrated commitment to core Gravie competencies of being authentic, curious, creative, empathetic and results oriented

  • You must be eligible to work in the United States without sponsorship now or in the future.

Extra Credit:

  • Background or interest in health insurance or healthcare

  • Understanding of industry-specific datasets (claims, EHR, etc.) or KPIs

Gravie: 

In order to create a more equitable and sustainable future for employer-sponsored health insurance, we need talented people doing amazing work. In exchange, we offer a great overall employee experience with opportunities for career growth, meaningful mission-driven work, and an above average total rewards package.

The salary range for this position is $49,500 - $66,000 annually. Numerous factors including, but not limited to, education, skills, work experience, certifications, etc. will be considered when determining compensation.

Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie's package includes alternative medicine coverage, generous PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and paid paw-ternity leave.

A Little More About Us:

  • We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space.
  • We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized.
  • Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% - nearly 40 points above the industry average.
  • Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. We may not be the right place for everybody, but if you get energized by doing work every day that focuses on putting consumers at the front of the line, we could be a great place for you. It takes unique people and diverse perspectives to deliver our results. We encourage you to be your authentic self - we like you that way.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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