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Data Analyst Data Science Jobs in Howell, MI (NOW HIRING)

Data Analyst Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST ... Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and ...

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

Minimum of 3 years of experience in data analysis, data science, systems analysis, business intelligence, financial analytics, or a related role; experience applying ML/AI concepts in a business ...

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related ... Experience delivering analytics and AI solutions that drive measurable business value.

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

The role partners closely with Marketing, Analytics, Business Intelligence, Data Platform, Data Science, and external vendors to deliver high-quality data solutions that support business objectives.

Marketing Data Domain Lead

Novi, MI

$81K - $101K/yr

The role partners closely with Marketing, Analytics, Business Intelligence, Data Platform, Data Science, and external vendors to deliver high-quality data solutions that support business objectives.

Marketing Data Domain Lead

Novi, MI · On-site

$118 - $130/hr

The role partners closely with Marketing, Analytics, Business Intelligence, Data Platform, Data Science, and external vendors to deliver high-quality data solutions that support business objectives.

Own the roadmap for the enterprise Data & Analytics platform, ensuring alignment with business priorities, data strategy, architecture standards, and security requirements. * Define and manage ...

Senior Performance Analyst

Wixom, MI · On-site

$84K - $111K/yr

Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or a related technical field. * 5+ years of experience in industrial analytics, performance engineering, data science, or ...

Senior Performance Analyst

Wixom, MI · On-site

$84K - $111K/yr

Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or a related technical field. * 5+ years of experience in industrial analytics, performance engineering, data science, or ...

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Data Analyst Data Science information

See Howell, MI salary details

$31.8K

$77.3K

$127.3K

How much do data analyst data science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data analyst data science in Howell, MI is $77,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What job categories do people searching Data Analyst Data Science jobs in Howell, MI look for?

The top searched job categories for Data Analyst Data Science jobs in Howell, MI are:

What cities near Howell, MI are hiring for Data Analyst Data Science jobs?

Cities near Howell, MI with the most Data Analyst Data Science job openings:

HCLTech
IT Services • 10K+ employees

Full-time

Posted 7 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