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Functional Data Analyst Jobs in Ohio (NOW HIRING)

Sr. Data Analyst

Columbus, OH · On-site

$83K - $104K/yr

Provide data-driven insights to the commercial and internal teams Cross-Functional Collaboration : * Partner with internal and customer-facing BI departments on healthcare analytics initiatives ...

Sr. Data Analyst

Columbus, OH · On-site

$83K - $104K/yr

Provide data-driven insights to the commercial and internal teams Cross-Functional Collaboration : * Partner with internal and customer-facing BI departments on healthcare analytics initiatives ...

Business Data Analyst

Marietta, OH · On-site

$95K - $110K/yr

Gather functional requirements from different business units to design and implement reports that ... Familiarity with ETL tools and data analysis techniques. * Solid understanding of statistics and ...

Participating in cross-functional meetings to align procurement strategies with organizational ... Ability to analyze and interpret large sets of data * Advanced knowledge of data visualization ...

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Senior IT Data Analyst

Cleveland, OH · On-site

$124K - $140K/yr

... transformation analytical requirements in synchronization with data management functions and ... Acting as a project lead with cross-functional teams to develop innovative data approaches ...

Sr Business Data Analyst

Lockbourne, OH · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Implement and maintain standard reporting tools for the site or sector * Assist various functional ...

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Implement and maintain standard reporting tools for the site or sector * Assist various functional ...

Procurement Data Analyst

Columbus, OH · On-site

$31 - $31.50/hr

Procurement Data Analyst Columbus, OH Hybrid role (4 days in office) $31.5 per hour ABOUT THE ROLE ... Participate in cross-functional meetings to align procurement strategies with organizational goals ...

Provider Data Analyst Sr.

Mason, OH · On-site

$78K - $134K/yr

Provider Data Analyst Sr. Provider Data Analyst Sr. Location: This role requires associates to be ... Proven ability in collaborating with cross-functional teams and coordinate efforts towards common ...

The Financial Data Analyst is responsible for providing financial planning, analysis, and decision ... This role partners closely with the Retail Controller and cross-functional stakeholders to deliver ...

Provider Data Analyst Sr.

Mason, OH · On-site

$78K - $134K/yr

Provider Data Analyst Sr. Location: This role requires associates to be in-office1 - 2days per week ... Proven ability in collaborating with cross-functional teams and coordinate efforts towards common ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

The Senior Data Analyst will be responsible for managing incoming requests for information and ... functional teams. • Attention to detail, with a focus on accuracy and compliance in a fast-paced ...

Senior Data Analyst

Dublin, OH

$81K - $102K/yr

The Senior Data Analyst will be responsible for managing incoming requests for information and ... functional teams. · Attention to detail, with a focus on accuracy and compliance in a fast-paced ...

... Data Analyst for their Columbus, OH location. The role involves developing advanced analytics ... functional teams, including Marketing, Sales, IT, and Leadership. • Communicate analytical ...

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Showing results 1-20

Functional Data Analyst information

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, the need for human expertise in interpreting data, understanding context, and communicating findings remains essential in the field of data analysis.

What jobs pay $500,000 a year in the US?

In the US, highly specialized roles such as senior executives, investment bankers, and certain medical specialists can earn $500,000 or more annually. Some top-tier data analysts with extensive experience, advanced skills in data modeling, and certifications in analytics tools may reach high six-figure salaries, especially in large corporations or financial firms. However, such compensation levels are typically associated with senior leadership or highly niche expertise rather than standard data analyst roles.

What are the key skills and qualifications needed to thrive as a Functional Data Analyst, and why are they important?

To thrive as a Functional Data Analyst, you need strong analytical abilities, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data analytics tools (such as SQL, Excel, Tableau, or Python) and experience with business intelligence systems are typically required. Effective communication, problem-solving, and the ability to translate technical findings into actionable business insights are standout soft skills. These competencies enable analysts to extract meaningful information from data, support decision-making, and drive organizational success.

How does a Functional Data Analyst typically collaborate with business stakeholders to ensure data-driven decision making?

A Functional Data Analyst often works closely with business stakeholders to understand their objectives, translate requirements into analytical tasks, and present actionable insights. This involves frequent meetings to clarify goals, iterative feedback on reports or dashboards, and explaining complex data findings in accessible terms. Effective analysts build strong relationships with stakeholders, ensuring that the analyses they deliver are both relevant and impactful for strategic decision making. This collaborative approach not only enhances the value of data-driven insights but also helps align analytics initiatives with organizational priorities.

What jobs make $1,000,000 a year?

While rare, some high-level executive roles such as CEOs, hedge fund managers, and successful entrepreneurs can earn over $1 million annually. Certain specialized professions like top-tier surgeons, professional athletes, and celebrity entertainers also reach this income level, often supplemented by bonuses, investments, or endorsements. These roles typically require extensive experience, advanced skills, and significant responsibility or public visibility.

What is a functional data analyst?

A functional data analyst is a professional who specializes in analyzing and interpreting data related to specific functions or processes within an organization. They often use tools like SQL, Excel, and data visualization software to identify trends, improve efficiency, and support decision-making. Strong analytical skills and understanding of business operations are essential for this role.
What cities in Ohio are hiring for Functional Data Analyst jobs? Cities in Ohio with the most Functional Data Analyst job openings:
Infographic showing various Functional Data Analyst job openings in Ohio as of June 2026, with employment types broken down into 2% Internship, 74% Full Time, 5% Part Time, and 19% Contract. Highlights an 89% In-person, 5% Hybrid, and 6% Remote job distribution.
Master Data Analyst

Master Data Analyst

ALLIED MINERAL PRODUCTS

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Master Data Analyst
Onsite/Hybrid Position - Columbus, OH
Allied Mineral Products is a leading manufacturer of monolithic refractories worldwide. We are seeking aMaster Data Analyst,to work on-site in our Columbus, Ohio location. This position will monitor, analyze, and ensure the quality of data within Allied Mineral systems across different business units. Collaborates with various stakeholders to identify and resolve data quality issues and help implement data governance practices. Validate, cleanse, and transform data to ensure it meets Allied Mineral's standards and requirements.
Key Duties and Responsibilities:
  • Data Quality Monitoring and Analysis:
    • Regularly assess data quality in Allied Mineral Products' systems
    • Perform data profiling and analysis to identify data inconsistencies, errors, and duplicates.
    • Design and implement data validation rules to ensure high data accuracy and integrity.
  • Data Cleansing and Correction:
    • Develop and execute processes for data cleansing and standardization across Allied Mineral systems.
    • Work with data stewards and business units to resolve data quality issues.
    • Support data migration and integration projects by ensuring the accuracy and consistency of the data.
  • Data Governance:
    • Implement and enforce data governance policies to maintain data quality standards.
    • Collaborate with the Allied Mineral data governance team to define data quality metrics and KPIs.
    • Promote best practices for data management within Allied Mineral Systems environments.
  • Reporting and Documentation:
    • Develop reports and dashboards to track data quality trends and issues.
    • Document data quality issues, solutions, and data profiling results.
    • Provide recommendations for continuous improvements in data quality management processes
  • Collaboration and Stakeholder Management:
    • Collaborate with IT teams, business users, and Allied Mineral functional teams (e.g., Finance, Supply Chain) to address data quality issues
    • Communicate data quality findings to stakeholders and assist in root cause analysis.
  • System Testing and Support:
    • Participate in system testing to validate that data quality standards are met during system upgrades, new implementations and migrations
    • Provide support for data-related queries and issues in Allied Mineral Products' systems
  • Continuous Improvement:
    • Monitor and evaluate the effectiveness of data quality initiatives and recommend improvements.
    • Stay up to date with data management technologies and best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Business Administration or similar discipline, or equivalent experience.
  • 2 - 4 years of experience as a Master Data Analyst or Data Quality Analyst, ideally in an SAP environment.
  • Strong understanding of SAP modules (e.g., SAP ERP, SAP S/4HANA) and their data structures preferred.
  • Experience with data governance frameworks and best practices.
  • Excellent Excel and Access database skills.
  • Familiarity with data quality tools and methodologies.
  • Strong analytical and problem-solving skills.
  • Proficient in SQL and other data manipulation languages.
  • Familiarity with data profiling and data cleansing techniques.
  • Must be legally authorized to work at least 40 hours per week in the US without sponsorship for an unlimited length of time.

Benefits
  • Competitive Base Pay
  • Employee Stock Ownership Plan (ESOP) retirement plan with 25% annual company contribution
  • 401K program
  • Annual Profit Sharing
  • Paid Time Off for Vacation, Sick Days, Holidays
  • Medical, Prescription Drug, Dental, and Vision programs
  • Life Insurance
  • Short-Term, and Long-Term disability

Allied Mineral Products Holding, Inc. is an Equal Opportunity Employer/Veterans/Disabled.