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Data Analyst Python Sql Jobs in Minnesota (NOW HIRING)

THOMSON REUTERS

Data Analyst, Government

Eagan, MN · Hybrid

Data Analyst, Government Are you ready to unlock the power of data to drive business growth and ... Python, SQL, SAP, and Business Objects #LI-ES1 What's in it For You? * Hybrid Work Model: We've ...

Thomson Reuters

Data Analyst, Government

Eagan, MN · On-site

Data Analyst, Government Are you ready to unlock the power of data to drive business growth and ... Python, SQL, SAP, and Business Objects #LI-ES1 What's in it For You? * Hybrid Work Model: We've ...

Emergent Software

Data Analyst

Maple Plain, MN · On-site

$45 - $55/hr

Proficiency with SQL * Experience with using tools such as Sigma, Looker, Power BI, or similar ... Familiarity with tools such as DAX, Python, dbt, LookML, SSRS, and Snowflake * Familiarity with ...

Windquest

Sr Data Analyst - Crecera Brands

Minneapolis, MN · On-site

$75K - $110K/yr

Sr. Data Analyst ABOUT THE COMPANY Crecera Brands is the driving force behind Sportsman's Guide ... This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.) * Solid problem solving, analytical skills, data curiosity, data ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Here, your role might beextracting business insights from data, solving problem statements ... SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.) * Solid problem solving, analytical skills, data curiosity, data ...

UnitedHealth Group

Data Analyst - 2373615

Eden Prairie, MN · Remote

$116K - $221K/yr

SQL programming; Python programming with modules such as Pandas, sklearn, or boto3; Work with clients to plan data workflows, perform QC, perform analytics, share insights and actionable strategies ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

Here, your role might be extracting business insights from data, solving problem statements ... SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Minnesota

Data Analyst Python Sql information

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 are popular job titles related to Data Analyst Python Sql jobs in Minnesota? For Data Analyst Python Sql jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Minnesota look for? The top searched job categories for Data Analyst Python Sql jobs in Minnesota are:
What cities in Minnesota are hiring for Data Analyst Python Sql jobs? Cities in Minnesota with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

Data Modeler (RXClaims, Spark, Python, SQL)

Kaav Inc.

Eden Prairie, MN • On-site

Other

Posted 14 days ago

Job description

Primary Responsibilities: • Work with BI team to build and deploy healthcare data enrichments • Design high performance reporting models using dbt that will be deployed in Power BI • Support monthly and quarterly production activities • Maintain high quality documentation of data definitions, transformations, and processes to ensure data governance and security • Identifies solutions to non-standard requests and problems • Support and maintain the self-service BI warehouse • Work with business owners to add new enrichments and to design and implement new reporting models
Required Qualifications: • Undergraduate degree or equivalent experience. • 4+ years' experience writing code in developing Big Data solutions using Spark + Python • Highly proficient in Python and SQL • 4+ years of experience working with medical and rx claims, eligibility tables and provider data • Experience designing and deploying reporting data models • Experience with CICD tools such as Jenkins, GitHub, Maven etc. • Excellent communication skills
Preferred Qualifications: • Undergraduate degree in STEM field • Cloud experience (Azure/AWS/GCP) • Snowflake experience • Power BI development experience • Experience using dbt to build data models • Prior work as an actuary or with actuaries • Knowledge of health care concepts -- benefits, pricing, underwriting, stop loss reinsurance, reserves etc.
Required Skills : Python,SQL
Basic Qualification :
Additional Skills : Software Developer,Database Administrator
Background Check : No
Drug Screen : No

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