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

Megan soft Inc

BI Data Analyst (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

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 ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key ... Databricks, Python (Scripting), Jupyter, Spark, Hue * Oracle PL/SQL, Oracle DBMS, Hadoop DBMS

AD Mortgage

Mortgage Servicing Data Analyst

Troy, MI

About this opportunity The Mortgage Servicing Data Analyst is responsible for analyzing mortgage ... Process Improvement • Automate manual reporting processes using SQL, Python, or Excel macros. • ...

Zobility

Sr. Data Analyst

Superior Township, MI · On-site

$47.58 - $50.34/hr

Expert-level proficiency in SQL, Python, and R * Proven experience with data visualization tools like Tableau and analytic platforms like Amplitude and Firebase We offer attractive, competitive ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key ... Proficient in Power BI and SQL for data modeling, transformation, and visualization * Experience ...

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 ...

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Data Analyst Python Sql information

See Redford, MI salary details

$31.4K

$76.2K

$125.5K

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

As of Jul 25, 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.

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 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
BI Data Analyst (W2 Position)

BI Data Analyst (W2 Position)

Megan soft Inc

Dearborn, MI • On-site

$50 - $55/hr

Other

Posted yesterday

Job description

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

Role : BI Data Analyst  (W2 Position)

Location : Dearborn, MI (Only Local)

Duration: 12+ Months

Experience: 7+ Years

Note : Please don’t share CPT, OPT . OPT EAD and H4 EAD profiles

JD:

Skills Required:
Data/Analytics dashboards
 

Experience Required:
Specialist Exp: 5+ experience in relevant field

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