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Data Analyst Python Sql Jobs in Lake Orion, MI (NOW HIRING)

ABC Warehouse

Systems Analyst Programmer

Pontiac, MI · On-site

$90K - $110K/yr

Write and support applications using Business BASIC, QuickBASIC, COBOL, Visual Basic, Python, SQL ... Strong analytical, troubleshooting, and problem-solving skills. ERP Programmer Preferred ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop). * Solid understanding of statistics, exploratory data analysis, and applied machine learning.

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop). * Solid understanding of statistics, exploratory data analysis, and applied machine learning.

krg technology inc

Big data Tester

Detroit, MI

... analyzing data and delivering ongoing quality metrics (leveraging SQL, PL SQL, UNIX, PYTHON, HIVE and other tools) Qualifications : Four or more years of test development experience in BI/DW ...

USM

Data Analyst-----Need GC and USC

Southfield, MI

Experience writing complex SQL queries Data warehousing concepts Healthcare experience Under the general direction of the Project Manager, Manager, or the Director, develops and enhances a data ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Lake Orion, MI

Data Analyst Python Sql information

See Lake Orion, MI salary details

$31.3K

$76.2K

$125.4K

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

As of Aug 8, 2026, the average yearly pay for data analyst python sql in Lake Orion, MI is $76,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $89,400.00 per year, depending on experience, location, and employer.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 Lake Orion, MI look for? The top searched job categories for Data Analyst Python Sql jobs in Lake Orion, MI are:
What cities near Lake Orion, MI are hiring for Data Analyst Python Sql jobs? Cities near Lake Orion, MI with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

AI & Data Solutions Analyst - Technical Safety & Regulatory Compliance

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 7 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

Overview:
The AI & Data Solutions Analyst supports the Technical Safety and Regulatory Compliance (TSRC) organization by executing AI and data-driven initiatives that enhance safety investigations, regulatory reporting, and operational decision-making. This role combines data ownership, analytics execution, and AI use case delivery, acting as a key contributor in translating business needs into scalable AI and data solutions.
Key Responsibilities:
AI Use Case Delivery:
- Support identification, definition, and execution of AI use cases aligned with TSRC priorities
- Coordinate development, testing, and deployment of AI solutions
- Track adoption, usage, and business impact of AI initiatives
  • Data Ownership & Governance:

- Ensure TSRC data is defined, structured, and compliant with governance standards
- Validate data quality and readiness for analytics and AI
- Document data sources, flows, and business rules
  • Data Analysis & Reporting:

- Analyze safety and regulatory data to identify trends and insights
- Develop dashboards and reports (Power BI)
- Support data-driven decision-making across TSRC
  • Process Automation:

- Develop solutions using Power Apps and Power Automate
- Identify and implement workflow automation opportunities
  • Project Support:

- Manage assigned workstreams and deliverables
- Track timelines, risks, and project milestones
  • Stakeholder Engagement:

- Collaborate with TSRC, ICT, and business stakeholders
- Support training and adoption of tools
Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 7+ years of experience in data analytics or AI-related roles
  • Experience with Power BI, Palantir, Power Apps, or Power Automate
  • Strong analytical and problem-solving skills

Preferred Qualifications:
  • Experience with AI tools or platforms
  • Exposure to Python or SQL
  • Experience in regulatory or compliance environment
  • Experience with Microsoft Azure/Google Cloud Platform/Amazon Web Services
  • Willingness to learn
  • Analytical thinking and data-driven mindset
  • Attention to detail and governance discipline
  • Strong communication and collaboration skills

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