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Data Analyst Python Sql Jobs in Ann Arbor, MI (NOW HIRING)

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

... SQL, Python, ETL/ELT tools, and BI tools. This role will collaborate closely with product owners, analysts, and business stakeholders to ensure data accessibility, reliability, and security.

Torc Robotics

Senior BI Analyst

Ann Arbor, MI · On-site

Answer complex business questions via ad-hoc SQL queries or Python notebooks to enable business owners to make critical decisions. What You'll Need to Succeed * Bachelor's degree in Data Analysis ...

Torc Robotics

Senior BI Analyst

Ann Arbor, MI · On-site +1

Answer complex business questions via ad-hoc SQL queries or Python notebooks to enable business owners to make critical decisions. What You'll Need to Succeed * Bachelor's degree in Data Analysis ...

FocusKPI

Marketing Operations Analyst

Ann Arbor, MI · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Ann Arbor, MI · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Freudenberg

Data Engineer

Plymouth, MI

$109K - $130K/yr

Deliver trusted, analytics-ready data products including curated datasets and feature-ready tables ... Strong Python, PySpark, Spark SQL, and SQL skills. * Hands-on experience with Databricks (Delta ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Deliver trusted, analytics-ready data products including curated datasets and feature-ready tables ... Strong Python, PySpark, Spark SQL, and SQL skills. * Hands-on experience with Databricks (Delta ...

Domino's Pizza

Data Scientist

Ann Arbor, MI · On-site

Python for data analysis and modeling. * SQL for data extraction and manipulation * Experience with ArcGIS. * Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries.

Stryker

Data Science Intern - Remote

Ann Arbor, MI · On-site

$35/hr

By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ... Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS ...

New

Domino's Corporate

Data Scientist

Ann Arbor, MI

Python for data analysis and modeling. * SQL for data extraction and manipulation * Experience with ArcGIS (arcpy) Required. * Data visualization tools such as Tableau, Power BI, or matplotlib ...

Domino's Pizza

Data Scientist

Ann Arbor, MI · On-site

Python for data analysis and modeling. * SQL for data extraction and manipulation * Experience with ArcGIS (arcpy) Required. * Data visualization tools such as Tableau, Power BI, or matplotlib ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Ann Arbor, MI

Data Analyst Python Sql information

See Ann Arbor, MI salary details

$33.3K

$80.8K

$133.1K

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

As of Sep 3, 2026, the average yearly pay for data analyst python sql in Ann Arbor, MI is $80,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,900.00 per year, depending on experience, location, and employer.

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 Ann Arbor, MI?

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

What job categories do people searching Data Analyst Python Sql jobs in Ann Arbor, MI look for?

The top searched job categories for Data Analyst Python Sql jobs in Ann Arbor, MI are:

What cities near Ann Arbor, MI are hiring for Data Analyst Python Sql jobs?

Cities near Ann Arbor, MI 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 Ann Arbor, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,850 per year, or $38.9 per hour.

GCP Data Engineer

Cloud BC Labs

Dearborn Heights, MI • On-site

Other

Re-posted 11 days ago

Job description

Position : GCP Data Engineer
Location : Dearborn, Michigan (Onsite)
Term : C2C/W2 role
Exp : 10+ Yrs

Job Description :

Basic Requirement:
Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP).
The ideal candidate will possess a strong understanding of data architecture, extensive GCP experience, and proficiency in SQL, Python, ETL/ELT tools, and BI tools.
This role will collaborate closely with product owners, analysts, and business stakeholders to ensure data accessibility, reliability, and security.
Qualifications:
  • Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience:
    • Minimum of 5 years of experience as a Data Engineer.
    • Proven experience in designing and building data pipelines and data infrastructure on Google Cloud Platform (GCP).
    • Strong understanding of data architecture principles, data modeling techniques, and data governance practices.
  • Technical Skills:
    • Cloud Computing: Expertise with Google Cloud Platform (GCP) data services, including BigQuery, Cloud Storage and Pub/Sub.
    • SQL: Advanced SQL skills, including data manipulation, data definition, and query optimization.
    • Programming: Proficiency in Python and experience with data engineering libraries such as Pandas, NumPy, and Apache Beam.
    • ETL/ELT Tools: Experience with ETL/ELT tools such as Apache Airflow, DataFlow/DataProc, or Qlik Data Integration.
    • Data Modeling: Experience with data modeling techniques (e.g., relational modeling, dimensional modeling, data vault).
    • BI Tools: Familiarity with BI tools such as Qlik Sense, Power BI, or Looker.
    • Data Warehousing: Understanding of data warehousing concepts and principles.
    • Data Governance: Knowledge of data governance principles and practices, some experience in DataPlex
    • Version Control: Experience with Git or other version control systems.
Bonus Points:
  • Google Cloud certifications (e.g., Google Cloud Certified Professional Data Engineer).
  • Experience with DevOps practices and tools (e.g., CI/CD, Terraform, Docker).

Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions