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Data Analyst Jobs in Inkster, MI (NOW HIRING)

Tech Tammina LLC

Jr. IT Data Analyst

Warren, MI · On-site

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required Qualifications: * Experience working with big data in a cloud environment , particularly Azure and Databricks

Aptiv

QLIK Programmer / Quality Data Analyst

Troy, MI · On-site

QLIK Programmer / Quality Data Analyst Why join Aptiv? You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of ...

USM

Data Analyst-----Need GC and USC

Southfield, MI

Data Analyst Southfield, MI 6+ Months Need GC and USC we're looking for candidates with 3-5+ years of experience. Top 3 skills: Experience writing complex SQL queries Data warehousing concepts Health ...

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All JobsData Analyst JobsData Analyst Jobs in Inkster, MI

Data Analyst information

See Inkster, MI salary details

$31.8K

$77.3K

$127.3K

How much do data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analyst in Inkster, MI is $77,344.00, 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 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.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

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 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.

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 top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

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.
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What are the most commonly searched types of Data Analyst jobs in Inkster, MI?

The most popular types of Data Analyst jobs in Inkster, MI are:

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

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Inkster, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $77,344 per year, or $37.2 per hour.

Data & Reporting Analyst

EPIC Health System LLC

Southfield, MI • On-site

Full-time

Re-posted 11 days ago

Job description

Job Title: Data & Reporting Analyst

Location: Southfield, MI (Fully in-person)

Job type: Full Time

Role Summary

The Data & Reporting Analyst is responsible for transforming complex operational, clinical, and financial data into clear, actionable insights that drive decision-making. This role requires deep expertise in Excel and experience working with healthcare reporting systems, with Athena reporting experience preferred. The analyst serves as a trusted partner to operations and leadership by owning reporting accuracy, performance analysis, and insight generation across the organization.

Key Responsibilities

Reporting & Analytics

  • Design, build, and maintain standardized and ad-hoc reports using advanced Microsoft Excel techniques, including pivot tables, advanced formulas, Power Query, and data models.
  • Analyze operational, clinical, and financial datasets to identify trends, risks, gaps, and opportunities.
  • Ensure data accuracy, integrity, and consistency across all reporting outputs.
  • Develop recurring reports to support leadership, operations, and performance management needs.

Performance Monitoring

  • Track and monitor key performance indicators (KPIs), service-level agreements (SLAs), and operational thresholds.
  • Identify drivers of performance variance and surface root causes.
  • Support development and maintenance of scorecards, dashboards, and executive summaries.
  • Proactively flag performance risks, outliers, and negative trends.

Data Interpretation & Storytelling

  • Translate complex data into clear, concise narratives that explain performance and operational impact.
  • Provide actionable insights and recommendations alongside reports.
  • Partner with operational leaders to contextualize data and align insights with workflows and business processes.
  • Support leadership decision-making by answering the “why,” not just reporting the “what.”

Process Improvement & Automation

  • Identify opportunities to automate, standardize, and improve reporting processes.
  • Reduce manual reporting effort and improve timeliness and scalability of reporting outputs.
  • Support continuous improvement initiatives by supplying accurate, timely, and relevant performance insights.
  • Document report logic, definitions, assumptions, and data sources.

Collaboration & Stakeholder Support

  • Collaborate with operations, clinical leadership, finance, and project teams to understand reporting needs and priorities.
  • Respond to ad-hoc data requests from leadership with clarity and urgency.
  • Serve as a subject matter expert for Excel-based reporting and performance analytics.
  • Maintain strong working relationships across departments to ensure alignment and trust in reporting.

Required Qualifications

  • 10+ years of advanced Microsoft Excel experience, including pivot tables, advanced formulas (XLOOKUP, INDEX/MATCH, nested logic), Power Query, and large dataset management.
  • Bachelor’s degree in Business, Analytics, Finance, Healthcare Administration, or related field.
  • Experience building, maintaining, and analyzing complex operational and performance reports.
  • Athena reporting experience preferred, including operational, clinical, or financial reporting.
  • Strong analytical and problem-solving skills with exceptional attention to detail.
  • Ability to translate complex data into actionable insights for non-technical stakeholders.
  • Excellent written and verbal communication skills.

Key Competencies

  • Expert-level Excel and reporting analytics
  • Data interpretation and storytelling
  • Healthcare operations and performance analysis
  • KPI and SLA tracking
  • Process improvement and reporting automation

Success in This Role Looks Like

  • Reports are accurate, standardized, and trusted by leadership.
  • Excel-based reporting supports timely and informed decision-making.
  • Performance risks and opportunities are identified early and clearly communicated.
  • Athena data is effectively leveraged to support operational insights.
  • Reporting processes are efficient, scalable, and continuously improving.