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Data Analyst Python Sql Jobs in Minnesota (NOW HIRING)

Techvilla Solutions

Senior Data Analyst

Minnetonka, MN

$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 ...

UnitedHealth Group

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 ...

UnitedHealth Group

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 ...

UnitedHealth Group

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 ...

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 ...

IWCO Direct

Senior Data Analyst

Chanhassen, MN · On-site

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... The right candidate brings deep SQL expertise, practical experience with modern BI platforms, and ...

IWCO Direct

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... The right candidate brings deep SQL expertise, practical experience with modern BI platforms, and ...

IWCO Direct LLC

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... The right candidate brings deep SQL expertise, practical experience with modern BI platforms, and ...

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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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
Senior Data Analyst

Senior Data Analyst

Techvilla Solutions

Minnetonka, MN

$87K - $110K/yr

Full-time

Posted 26 days ago

Job description

We are seeking a highly experienced Senior Data Analyst with strong expertise in healthcare data, clinical data warehousing, and quality measures. The ideal candidate will combine strong analytical, technical, and business analysis skills to support data-driven decision-making and regulatory reporting in a healthcare-focused environment.

Required Experience & Background
  • Minimum 5+ years of experience in Business Analysis
  • Minimum 5+ years of experience in Data Analysis
  • Strong experience working with CMS and NCQA Quality Measures
  • Minimum 5+ years of experience in Data Warehousing, preferably in a clinical or healthcare environment
  • Experience working with Electronic Medical Records (EMR/EHR) systems
  • Strong understanding of healthcare data workflows and clinical data structures
Required Skills
  • 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 Warehousing concepts and implementations
  • Experience in Data Mapping, data validation, and data reconciliation
  • Exposure to Cloud-based data platforms and environments
Roles and Responsibilities
  • Gather, analyze, and document business and data requirements from stakeholders
  • Perform data analysis, validation, and quality checks across clinical and healthcare datasets
  • Develop and maintain SQL queries for reporting, extraction, and data validation
  • Work on data mapping and data warehousing solutions in clinical environments
  • Support implementation and reporting of CMS/NCQA Quality Measures
  • Collaborate with cross-functional teams including clinical, technical, and business stakeholders
  • Translate business requirements into functional and technical specifications
  • Ensure data accuracy, integrity, and compliance with healthcare standards
  • Support Agile delivery processes and participate in sprint planning and reviews
  • Assist in resolving data issues and improving overall data quality and reporting efficiency

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