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

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 ...

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 ...

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 ...

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 ...

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 ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

Strong technical skills with SQL for data analysis and visualization tools such as Qlik, Power BI, or Tableau Our Benefits -- Designed with You in Mind Comprehensive Health & Well-being Coverage From ...

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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 Sep 3, 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.

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 Lake Orion, MI?

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Data Analyst Python Sql jobs near you

Data Analyst

R3 Tek

Detroit, MI

$45/hr

Contractor

Re-posted 15 days ago

Job description

Greetings,

Position:Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW
  • The Data Analyst must be able to lead discussions with internal and external customers.
  • Must be able to take charge and drive results on projects.
  • 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 knowledge is highly preferred, insurance industry experience is also valued.
  • Informatica experience is a plus.

WHAT YOU WILL BE DOING

  • Develop medium to highly complex logical database designs, logical data models and relational data definitions in support of corporate and customer information systems requirements.Â
  • Work closely with customers, vendors, business analysts and application development project teams to resolve information flow and content issues.
  • Work on enterprise-wide complex projects/issues/enhancements as a team member or lead.
  • Work with IT teams to ensure compliance.Â
  • Work with business and vendor partners, and project delivery leads to determine business data intelligence needs. Interpret and document the data needs for the business.Â
  • Analyze program needs and translate them into data warehousing and data mart requirements.
  • Work in partnership with data architects to design the common customer view of information.Â
  • Define, document, and maintain all data definitions, manage data dictionary, data sources, business meaning and usage of information.Â
  • Recognize and resolve conflicts between models, ensuring that data models are consistent with the enterprise model (e.g., entity names, relationships and definitions).Â
  • Perform regular audits of data, develop single source data strategy.
  • Develop solutions and recommendations for improving data integrity issues, establish data profiling and preventative procedures to improve data quality.Â
  • Assist in the coaching and training of customers in the use of business intelligence tools to enhance business decision-making capability.Â
  • Provide leadership, coaching and mentoring to team members. Provide performance feedback to managers, as needed.Â

EDUCATION AND/OR EXPERIENCE

  • Bachelor's degree in related field preferred.
  • Experience in Healthcare domain is highly preferred.
  • Analytical thinking; accuracy and attention to detail skills.
  • Must have a solid understanding of logical database design principles.
  • Experience data quality assurance and/or data management required.
  • Expertise with data quality tools for data profiling, cleansing and standardization preferred.
  • Experience in implementing solutions and processes for master data and hierarchy synchronizations preferred.
  • Understand the methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations.
  • Excellent written and verbal communication skills; interpersonal skills.
  • Ability to speak effectively before groups of customers or employees of the organization.

CORE COMPETENCIES

YEARS

  • Healthcare or
  • Insurance Domain

Â

Analytical thinking; accuracy and attention to detail skills

Â

Solid understanding of logical database design principles

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  • Quality assurance
  • Data management

Â

Data quality tools for data profiling, cleansing and standardization

Â

Implementing solutions and processes for master data and hierarchy synchronizations

Â

Understand methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations

Â

Excellent written and verbal communication skills; interpersonal skills

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About R3TEK

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Hillsborough, NJ, US

Year founded

2006

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