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Data Analyst Jobs in Howell, MI (NOW HIRING)

HCLTech

Data Analyst

Farmington, MI

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: -%28Non-Voice%29/152865-en_US ...

Learning Care Group

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.

Learning Care Group

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.

Cooper Standard

Senior System Analyst

Northville, MI · On-site +1

Execute complex queries and adhoc BI reports to analyze source data and validate reporting accuracy and consistency * Creating and maintaining documentation, developing training materials, and ...

All JobsData Analyst JobsData Analyst Jobs in Howell, MI

Data Analyst information

See Howell, MI salary details

$31.8K

$77.3K

$127.3K

How much do data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data analyst 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 do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Howell, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,333 per year, or $37.2 per hour.

Data Analyst

Farmington, MI

HCLTech
IT Services • 10K+ employees
Learn more about HCLTechexternal

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

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