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

Integrated Resources INC

DATA ANALYST

Detroit, MI

... analyzing programs, processes, and procedures to extract, transform, integrate, and load data into ... MS SQL Server 2012) Knowledge of logical data modeling, distributed systems, IT architecture ...

R3 Tek

Data Analyst

Detroit, MI

$45/hr

Advanced ability to analyze, critically review a data warehouse, advanced SQL, and data flow is essential. * Aptitude, creativity, forward thinking and approach are key. * Healthcare industry ...

Hart, Inc.

Junior Data Analyst

Detroit, MI · On-site

$60 - $80/hr

Analyze performance data across social media and marketing campaigns (paid and organic) * Create ... Some exposure to basic coding/scripting (SQL, Python) is a plus * Basic understanding of ETL ...

Hart

Junior Data Analyst

Detroit, MI · On-site

... SQL, Python) is a plus • Basic understanding of ETL processes and how data is collected, merged, transformed, and maintained across multiple sources and platforms • Familiar with Tableau, Power ...

Hart

Junior Data Analyst

Detroit, MI · On-site

$60 - $80/hr

Analyze performance data across social media and marketing campaigns (paid and organic) * Create ... Some exposure to basic coding/scripting (SQL, Python) is a plus * Basic understanding of ETL ...

Zobility

Quality Data Analyst

Auburn Hills, MI · On-site

Required : • 3+ years of experience in data analytics or business intelligence • Strong SQL experience (Snowflake preferred) • Experience with SAS • Experience with Power BI or similar ...

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

As of Sep 7, 2026, the average yearly pay for data analyst python sql in Redford, MI is $76,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,500.00 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 job categories do people searching Data Analyst Python Sql jobs in Redford, MI look for?

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

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

Cities near Redford, MI with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you

Senior Finance Data Engineer / Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 10 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

We are seeking a Finance Data Engineer / Data Analyst to support the FP&A organization by developing and maintaining Power BI-based financial reporting and analytics solutions. The ideal candidate will have strong data management and modeling skills, paired with a foundational understanding of financial concepts.
Responsibilities Include:
  • Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
  • Ensure data accuracy, performance, and security across all FP&A reporting tools
  • Handle user access and role-level security within Power BI Service

Key Skills & Requirements:
  • Advanced proficiency in Power BI, Power Query, and DAX
  • Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
  • Ability to clean, transform, and standardize data into analytics-ready models
  • Experience deploying and maintaining dashboards in Power BI Service
  • Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
  • Strong analytical mindset with attention to data accuracy, consistency, and performance optimization

Basic Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
  • Minimum of 5 years' extensive experience with PowerBI
  • Minimum of 8 years' overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment

Preferred Qualifications:
  • Power BI certification or similar credentials
  • Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
  • Experience with Onestream, SAP or Oracle tools

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