ZipRecruiter

Log In

1

Data Analyst Python Sql Jobs in Michigan (NOW HIRING)

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

Strong technical skills with SQL for data analysis * Excellent quantitative and qualitative skills and the ability to evaluate processes and data objectively * Strong problem formulation, problem ...

Tech Tammina LLC

Jr. Data Analyst

Jackson, MI · On-site

Role: Jr. Data Analyst Location: Jackson, MI (Hybrid) Duration: Long term Rate: Market ... with Microsoft SQL, Tableau, or VBA (preferred) Strong communication and documentation skills ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

Strong technical skills with SQL for data analysis * Excellent quantitative and qualitative skills and the ability to evaluate processes and data objectively * Strong problem formulation, problem ...

previous page

Showing results 41-60

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Michigan

Data Analyst Python Sql information

What is a data analyst Python SQL?

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.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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.

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 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 Michigan?

For Data Analyst Python Sql jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Michigan look for?

The top searched job categories for Data Analyst Python Sql jobs in Michigan are:

What cities in Michigan are hiring for Data Analyst Python Sql jobs?

Cities in Michigan with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

BI Developer / Product Analyst (W2 Position)

Megan soft Inc

Dearborn, MI • On-site

$55 - $60/hr

Other

Re-posted 17 days ago

Job description

We have a job opportunity of a Role BI Developer / Product Analyst with given job description on W2. Please forward updated profile to praveen@megansoft.com or +1(248) 266-0910.

Role: BI Developer / Product Analyst (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 7+ Years

Note : Please don’t share CPT, OPT and OPT EAD resumes

JD:

Skills Required:

SQL

Skills Preferred:

Business Intelligence

Experience Required:

Senior Specialist Exp: 7+ experience in relevant field.

Experience Preferred:

  • Specific Domain Experience: GCP Ecosystem: Strong preference for candidates with direct experience in Google Cloud Platform (BigQuery), including writing complex SQL (Window Functions, CTEs, Nested Data) to structure their own datasets.
  • Product Analytics Focus: Experience must be in analyzing User Behavior (Retention, Churn, Engagement, MAU/DAU), not just financial or operational reporting.
  • "Full-Stack" Capability: Demonstrated ability to act as a bridge between Engineering and Product—taking raw telemetry and transforming it into business insights without relying on a central data team for every query.

Key Responsibilities

  • Create strong business partnership for intelligent solutions through stakeholder interviews and solution designs
  • Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key business decisions. Use advanced visualization tools like Qlik, Dash Enterprise, Tableau, PowerBI etc.
  • Conduct deep-dive analysis of business problems and data issues to formulate recommendations for business improvement and technical efficiency. Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc.
  • Identify and implement avenues to optimize and enhance data analysis, interpretation and visualization tools, techniques and methodologies for functional analysts
  • Design and implement new metrics, techniques and strategies to improve business KPI, metrics unity and end-user adoption
  • Partner with Data Engineering, Data Science and Data Management teams to improve data completeness, usability, and performance

Thanks & Regards

Praveen

Megan Soft, Inc.

Direct No: +1(248) 266-0910

E Mail: praveen@megansoft.com