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Senior Data Analyst Jobs in Inkster, MI (NOW HIRING)

The Data Analyst is responsible for developing and delivering high-quality analytical insights that support business decision-making. This includes a wide range of deliverables such as sales and ...

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 ...

Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key Responsibilities * Partner with business subject matter experts to gather and document analytical requirements

... for analyzing programs, processes, and procedures to extract, transform, integrate, and load data into data systems (Interface testing, debugging and implementation) Knowledge of data system ...

As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that ...

Automotive Data Analyst

Dearborn, MI · Hybrid

$30 - $35/hr

Supplier Consultant - Automotive Data Analyst Location: Dearborn, MI 48126 (hybrid schedule) Area Code: 313 Pay Rate: $30.00-35.00 per hour Shift: 1st Shift Employment Type: Direct/W2 Belcan is ...

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into ... and analytics use cases * Promote maintainable structures, reusable components and clear lineage ...

Zobility is RGBSI's workforce management and staffing division, and they are seeking a Quality Data Analyst to support Technical Service Operations by delivering data-driven insights and scalable ...

Showing results 21-40

Senior Data Analyst information

See Inkster, MI salary details

$51.5K

$92.9K

$126.8K

How much do senior data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior data analyst in Inkster, MI is $92,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $101,500.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.
More about Senior Data Analyst jobs
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 Senior Data Analyst jobs in Inkster, MI look for? The top searched job categories for Senior Data Analyst jobs in Inkster, MI are:
What cities near Inkster, MI are hiring for Senior Data Analyst jobs? Cities near Inkster, MI with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Inkster, MI as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $92,871 per year, or $44.6 per hour.

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago


Job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

The Data Analyst is responsible for developing and delivering high-quality analytical insights that support business decision-making. This includes a wide range of deliverables such as sales and performance reporting, campaign and marketing analytics, dealer and customer insights, and the creation of dashboards and data visualizations to enable clear and effective consumption of data.

The Impact You'll Have:

In this role, you will conduct both strategic and ad hoc analyses to support overall business strategy, inform day-to-day decisions, and provide deeper insight into customer behavior, marketing effectiveness, and business performance trends, both historical and forward-looking. You will partner closely with business stakeholders to identify analytical needs, understand key challenges, and translate business questions into actionable insights while collaborating with data and analytics teams to deliver impactful results.

What You'll Do
  • Serve as the organization's Power BI subject matter expert, designing, developing, and optimizing enterprise-grade dashboards, reports, and data models that support critical business decisions.

  • Establish Power BI best practices, governance standards, and reporting frameworks to ensure consistency, scalability, and data accuracy across all business reporting.

  • Lead requirements gathering sessions with stakeholders to translate complex business needs into intuitive Power BI dashboards and self-service analytics solutions.

  • Optimize Power BI performance through advanced data modeling, DAX calculations, report tuning, and efficient integration with BigQuery and other data sources.

  • Develop and deliver sales, marketing, and business performance reporting through advanced Power BI dashboards, data models, and visualizations that enable self-service analytics and data-driven decision making.

  • Analyze campaign performance, customer behavior, and business trends to generate actionable insights and recommendations

  • Perform both strategic and ad hoc analyses to support business strategy, day to day operations, and future forecasting

  • Partner with business stakeholders to understand key challenges, define analytical needs, and translate business questions into data driven solutions

  • Query, manipulate, and automate large datasets using tools such as SQL, BigQuery, and Alteryx to ensure accurate and efficient data processing

  • Build and maintain performance metrics and reporting frameworks for service, customer, and program analytics

  • Present findings and insights through clear visualizations, reports, and presentations to both technical and non-technical audiences while collaborating with multi-functional teams

  • Navigate and utilize modern cloud environments, specifically Google Cloud Platform (GCP) and Big Query, to manage large-scale data operations.

  • Proactively identify and resolve data quality issues, partnering with business owners to fix problems at the source rather than just managing symptoms.

  • Translate technical solution concepts into clear, simple narratives that help clients and internal teams understand the "so what" behind the numbers.

  • Develop scripts and automated workflows to replace manual reporting, increasing the speed and accuracy of our analytic delivery.

  • Continuously evaluate and adopt new technologies to keep our analytics stack efficient and forward-looking.

  • Partner with strategy and delivery teams to align your analytic deliverables with the client's broader business goals and evolving needs.

  • Participate in client-facing status meetings, providing technical clarity and progress updates that build trust and project momentum.

  • Work within a distributed team to maintain high standards of accuracy and quality across different time zones and project phases.

What You'll Need
  • A degree in a quantitative field (Statistics, Math, CS, Economics, Physics) or equivalent technical experience.

  • 2+ years of experience in data analysis, with a proven track record in data wrangling, modeling, and measurement.

  • 2-4+ years of hands-on Power BI development experience with a proven track record of building executive-level dashboards, KPI frameworks, and scalable reporting solutions.

  • Experience developing and maintaining enterprise reporting solutions, KPI frameworks, and business performance dashboards within Power BI.

  • Background in financial analytics or experience working within integrated marketing, digital agency, or consulting environments.

  • Strong communication skills with the ability to explain complex data concepts to non-technical peers and leadership.

  • Inventive and quick learner, with the ability to efficiently seek out, learn, and apply new areas of expertise, as needed

  • Highly self-motivated, with the ability to work independently and collaborate

  • Strong oral and written communication skills (English) -Strategic and clear thinking to translate discreet and sophisticated ideas to get results

  • Attention to detail with a strong aim to implement common standards

  • Excellent Data Wrangling skills - Ability to query, join, manipulate data (e.g., create new variables as needed), automate processes.

  • Experience analyzing business and marketing program performance (e.g., response, sales, incremental sales, net profit, customer profiling)

  • Expert-level Power BI experience, including advanced dashboard development, data modeling, DAX, report optimization, workspace management, security implementation, and best practice governance. Strong knowledge of SQL, BigQuery, Alteryx, GCP, Qlik, AI tools, and Microsoft Office.

Future-Ready Skills (Nice to Have)
  • Familiarity with automotive services, vehicles sales, parts business, subscription services, loyalty program data, etc. (not required)

  • Experience meeting with clients directly to understand business needs and discuss findings.

  • Ability to organize findings for business consumption create PowerPoints containing graphs and insights

  • Knowledge of Python or R for advanced statistical modeling or process automation.

Benefits

We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal-opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.