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Data Analyst Python Sql Jobs in Michigan (NOW HIRING)

Clean, transform, and integrate data from multiple sources using Power Query and SQL. * Analyze productivity, quality, customer satisfaction (CSAT), SLA compliance, and workforce performance metrics ...

... 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 ...

We are seeking an Analytics Engineer (contract) to support development of scalable analytics ... Success in this position requires strong SQL skills, experience with dbt-based data modeling, and ...

Data Analyst

Detroit, MI · On-site

$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 ...

Junior Data Analyst

Detroit, MI · On-site

$50 - $75/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 ...

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 ...

... 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 ...

Junior Data Analyst

Detroit, MI · On-site

$55 - $75/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 ...

Showing results 21-40

Data Analyst Python Sql information

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 cities in Michigan are hiring for Data Analyst Python Sql jobs?

Cities in Michigan with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Analyst

HCLTech

Farmington Hills, MI • On-site

Full-time

Posted 15 days ago


Job description

Data Analyst

Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST, Monday through Friday  

If interested please apply through this link: https://careers.hcltech.com/job/Analyst-%28Non-Voice%29/152865-en_US/

Job Description We are looking for a Data Analyst to support business operations through data analysis, reporting, and process automation. The ideal candidate will develop interactive dashboards, analyze large datasets, automate workflows, and provide actionable insights that drive operational efficiency and informed decision-making. This role requires close collaboration with business stakeholders to understand reporting needs and deliver scalable analytical solutions.

 Scope of the Work • Work closely with business and client stakeholders to understand objectives, challenges, and opportunities. • Gather, analyze, and interpret data from multiple sources to support decision-making. • Design, develop, and maintain Power BI dashboards and reports to monitor business performance and operational KPIs. • Clean, transform, and integrate data from multiple sources using Power Query and SQL. • Analyze productivity, quality, customer satisfaction (CSAT), SLA compliance, and workforce performance metrics to identify trends and improvement opportunities. • Build scorecards, ranking models, eligibility calculations, and executive-level reports to support business decisions. • Develop and maintain Power Apps and Power Automate workflows to streamline operational processes and reduce manual effort. • Ensure data accuracy through validation, troubleshooting, and continuous monitoring of reporting processes. • Prepare presentations and reports for leadership, providing insights and recommendations based on data analysis.

Must Have: • 2-3 years of experience in Data Analytics, Business Analytics, or a similar role. • Strong presentation and data storytelling skills, with the ability to communicate insights effectively to business and executive stakeholders. • Strong SQL skills with experience working on large and complex datasets. • Hands-on experience with Power BI, including dashboard development and data modelling. • Advanced Excel skills, including Pivot Tables, Power Query, lookups, and data analysis functions. • Proficiency in Microsoft 365 tools (SharePoint, Excel, Outlook, Teams, Word, PowerPoint, OneNote) • High attention to detail ensuring accuracy and quality of deliverables. • Strong analytical and problem-solving capabilities. • Excellent verbal and written communication skills.

Good to have: • Microsoft Power BI Certification (PL-300) or equivalent Business Intelligence certification. • Google Cloud Platform (GCP), AWS, or Azure cloud certification or Experience working with cloud-based data platforms, data warehouses, and modern analytics ecosystems. • Demonstrated ability to identify opportunities for process improvement and drive data-led innovation initiatives. • Experience working in a client-facing, consulting, or stakeholder-intensive environment.

What this role is NOT: • A dashboard maintenance role or solely data extraction and reporting role. • A purely technical role with limited business or stakeholder interaction.  


HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multigenerational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.

Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit our website