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Data Analytics Certificate Jobs in Michigan (NOW HIRING)

Advantasure, Inc.

Audit Data Analyst

Detroit, MI · On-site

Specialty certification in data analytics tool preferred. * CIA, CPA, or CISA certification preferred. * Strong written and verbal communication skills. * Strong attention to detail, analytical, and ...

LHH US

Accounting Data Analyst

Grand Rapids, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... certification. * Experience with data modeling and financial forecasting. * Knowledge of data warehousing and ETL processes. * Experience using Python, R, or advanced analytics tools. * Experience ...

LHH US

Accounting Data Analyst

Grand Rapids, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... certification. * Experience with data modeling and financial forecasting. * Knowledge of data warehousing and ETL processes. * Experience using Python, R, or advanced analytics tools. * Experience ...

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All JobsData Analytics Certificate JobsData Analytics Certificate Jobs in Michigan

Data Analytics Certificate information

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$47

$82

How much do data analytics certificate jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analytics certificate in Michigan is $47.72, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $54.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data analytics certificate position, and why are they important?

To thrive in data analytics, candidates need strong quantitative and statistical skills, proficiency in data visualization, and a solid understanding of data management concepts, typically demonstrated through formal training or a Data Analytics Certificate. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is essential. Analytical thinking, attention to detail, and the ability to clearly communicate insights are key soft skills for this field. These competencies allow professionals to transform complex data into actionable insights that drive better business decisions.

What is a data analytics certificate?

A Data Analytics Certificate job typically involves working with data to identify trends, generate insights, and help businesses make data-driven decisions. Professionals in these roles use analytical tools, statistics, and programming languages like Python or SQL to clean and interpret data. Earning a certificate in data analytics can help individuals gain fundamental skills and qualify for entry-level positions such as data analyst, business analyst, or reporting analyst.

What types of projects or tasks can I expect to work on with a data analytics certificate?

With a Data Analytics Certificate, you can expect to work on projects involving data collection, cleaning, and analysis, often supporting business decisions through reports and dashboards. Typical tasks may include identifying trends in large datasets, building visualizations to present your findings, and collaborating with teams such as marketing, finance, or operations to solve company challenges. Many roles also involve using statistical techniques to forecast outcomes or optimize processes. As you gain experience, you may take on more complex projects and assume greater responsibility for advising decision-makers or implementing analytics solutions.

What are popular job titles related to Data Analytics Certificate jobs in Michigan? For Data Analytics Certificate jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analytics Certificate jobs in Michigan look for? The top searched job categories for Data Analytics Certificate jobs in Michigan are:
Data Analytics Certificate jobs near you
Infographic showing various Data Analytics Certificate job openings in Michigan as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $99,251 per year, or $47.7 per hour.

Project Manager - Data Analytics

Apetan Consulting llc

Royal Oak, MI • On-site

$50 - $55/hr

Contractor

Posted 23 days ago

Job description

 Role: Project Manager – Data Analytics

Location: Royal Oak MI Hybrid

 

Job Summary

We are seeking an experienced Project Manager – Data Analytics to lead enterprise-scale analytics initiatives. The ideal candidate will have a strong understanding of Data Analytics, Data Lakes, Data Pipelines, ETL processes, and modern cloud-based analytics platforms, along with proven experience managing cross-functional technical teams and delivering data-driven projects.

Required Skills

  • 8+ years of IT experience with 3+ years as a Project Manager.
  • Strong experience managing Data Analytics and Data Engineering projects.
  • Hands-on understanding of:
    • Data Lakes (Azure Data Lake, AWS S3, Databricks, Snowflake, etc.)
    • Data Pipelines
    • ETL/ELT processes
    • Data Warehousing
    • Data Integration
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with SQL and analytics/reporting tools like Power BI, Tableau, or Looker.
  • Experience working with Agile/Scrum methodologies.
  • Strong stakeholder management and communication skills.

Preferred Skills

  • Experience with Databricks, Snowflake, Azure Data Factory, Apache Spark, Kafka, Airflow, or similar technologies.
  • Knowledge of data governance, data quality, and metadata management.
  • PMP, Scrum Master, or Agile certification.

Responsibilities

Lead end-to-end delivery of Data Analytics and Data Engineering projects.

Coordinate with business stakeholders, architects, data engineers, and analytics teams.

Manage project scope, timelines, budgets, risks, and dependencies.

Oversee implementation of data lakes, data pipelines, and analytics solutions.

Ensure project delivery aligns with business objectives and quality standards.

Drive Agile ceremonies and provide regular status updates to leadership.

                Identify and mitigate project risks while ensuring timely delivery