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Data Operations Jobs in Michigan (NOW HIRING)

The Data Analyst is responsible for developing and delivering high-quality analytical insights that ... Perform both strategic and ad hoc analyses to support business strategy, day to day operations, and ...

The Data Analyst is responsible for developing and delivering high-quality analytical insights that ... Perform both strategic and ad hoc analyses to support business strategy, day to day operations, and ...

... data operations. - Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform). - Knowledge of data security, governance, and ...

Write advanced SQL queries, stored procedures, and functions to support high-performance data operations. * Apply best practices in data modeling for enterprise-scale data warehouse environments.

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Write advanced SQL queries, stored procedures, and functions to support high-performance data operations. * Apply best practices in data modeling for enterprise-scale data warehouse environments.

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Data Operations information

See Michigan salary details

$45.3K

$112K

$174.3K

How much do data operations jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data operations in Michigan is $112,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $142,500.00 per year, depending on experience, location, and employer.

Is data operations a good job?

Data operations is a growing field that involves managing, processing, and maintaining data systems to support business functions. It often requires skills in database management, data quality, and tools like SQL or data pipelines, and can offer stable employment with opportunities for advancement. The role is suitable for individuals interested in technology, data analysis, and operational efficiency.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and automation processes to support data-driven decision-making.

What is the highest paying data job?

The highest paying data job is typically a Data Engineering Manager or Chief Data Officer, with salaries often exceeding $150,000 annually depending on experience and location. These roles require advanced skills in data architecture, leadership, and often certifications in cloud platforms or data management tools.

Is 30 too late for data science?

Data operations roles often value skills and experience over age, and many professionals transition into data science at various ages, including in their 30s. Building relevant skills such as programming, statistics, and tools like SQL or Python can facilitate entry, regardless of age. Continuous learning and practical experience are key factors for success in data science careers.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Michigan? The most popular types of Data Operations jobs in Michigan are:
What are popular job titles related to Data Operations jobs in Michigan? For Data Operations jobs in Michigan, the most frequently searched job titles are:

Full-time

Medical, Dental, Vision, Retirement

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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.