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Full Time Data Analysis Excel Jobs in Ohio (NOW HIRING)

... in data analysis, financial analysis, business intelligence, or a related analytical role. * Strong hands-on experience with Power BI and SQL is required. * Advanced Excel skills and strong ...

Senior Data Analyst

Columbus, OH · On-site

$90K - $108K/yr

... in data analysis, financial analysis, business intelligence, or a related analytical role. * Strong hands-on experience with Power BI and SQL is required. * Advanced Excel skills and strong ...

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Support the sustainment of risk scoring tools and other data analysis implementations by ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Support the sustainment of risk scoring tools and other data analysis implementations by ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Full Time Data Analysis Excel information

What is the difference between Full Time Data Analysis Excel vs Data Analyst?

AspectFull Time Data Analysis ExcelData Analyst
Required SkillsExcel, data manipulation, basic analyticsExcel, SQL, data visualization, statistical analysis
CertificationsExcel certifications, basic data analysis coursesExcel, SQL, data analysis certifications
Work EnvironmentOffice, remote, or hybrid; primarily using ExcelOffice, remote; using Excel, SQL, BI tools
Industry UsageFinance, marketing, operationsFinance, healthcare, tech, consulting

Full Time Data Analysis Excel roles focus mainly on data manipulation and reporting within Excel, suitable for entry-level or specialized tasks. Data Analysts typically require broader skills like SQL and data visualization tools, working across various industries with more complex data analysis responsibilities.

What are some common challenges faced by full-time data analysts working primarily with Excel, and how can they be addressed?

Full-time data analysts who rely heavily on Excel often encounter challenges such as handling large datasets that exceed Excel’s capacity, maintaining data accuracy when managing complex formulas, and ensuring consistency when collaborating with team members on shared files. To address these issues, analysts can leverage Excel’s advanced features like Power Query and PivotTables for efficient data processing, implement version control practices, and use cloud-based services like OneDrive or SharePoint to facilitate real-time collaboration. Continuous learning of Excel’s latest functionalities and integrating complementary tools (such as Power BI or VBA scripting) can also help overcome limitations and improve workflow efficiency.

What does a Full Time Data Analysis Excel job involve?

A Full Time Data Analysis Excel job typically involves using Microsoft Excel to collect, organize, and analyze data for a company or organization. Professionals in this role create spreadsheets, use formulas and functions, and generate reports or visualizations to help make business decisions. They may also clean and validate data, automate tasks with macros, and collaborate with other departments to interpret data insights. Strong attention to detail and proficiency in Excel are essential for this position.

What are the key skills and qualifications needed to thrive as a Full Time Data Analysis Excel professional, and why are they important?

To thrive as a Full Time Data Analysis Excel professional, you need strong analytical abilities, attention to detail, and proficiency in Excel functions, formulas, and data visualization, often supported by a degree in statistics, mathematics, or a related field. Expertise in advanced Excel tools such as PivotTables, Power Query, and possibly certifications like Microsoft Office Specialist (MOS) are highly valued. Effective communication, problem-solving, and the ability to interpret and present data insights clearly set top performers apart. These skills and qualities ensure accurate data interpretation, actionable insights, and valuable support for business decision-making.
What are the most commonly searched types of Data Analysis Excel jobs in Ohio? The most popular types of Data Analysis Excel jobs in Ohio are:
What job categories do people searching Full Time Data Analysis Excel jobs in Ohio look for? The top searched job categories for Full Time Data Analysis Excel jobs in Ohio are:
What cities in Ohio are hiring for Full Time Data Analysis Excel jobs? Cities in Ohio with the most Full Time Data Analysis Excel job openings:
Infographic showing various Full Time Data Analysis Excel job openings in Ohio as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Data & Performance Measurement Analyst

Data & Performance Measurement Analyst

Dave Thomas Foundation for Adoption

Dublin, OH • On-site

Full-time

Posted 26 days ago


Job description

Description:


The Dave Thomas Foundation for Adoption (DTFA) is a national nonprofit public charity dedicated exclusively to finding permanent homes for the more than 130,000 children waiting in North America’s foster care systems. Created by Wendy’s® founder Dave Thomas who was adopted, the Foundation implements evidence-based, results-driven national service programs, foster care adoption awareness campaigns and innovative grantmaking. The Foundation has an opening for a full-time data analyst.


STATEMENT OF PURPOSE


The data analyst is responsible for identifying and deploying advanced analytics utilizing the Wendy’s Wonderful Kids Child Trends database to measure and document the work of the Foundation. This position supports the Foundation’s mission by leveraging both quantitative and qualitative data to demonstrate the impact of the Wendy’s Wonderful Kids program to internal and external stakeholders, including state and local partners engaged in child welfare initiatives. Through thoughtful analysis and reporting, the data analyst helps inform strategic decision making and supports the Foundation’s efforts to strengthen positive outcomes for the children we serve.


ACCOUNTABILITIES

  1. Produce routine data reports and summaries that communicate the Foundation’s reach, impact and program progress to internal teams, state and public agencies
  2. Maintain and update performance dashboards and data visualizations for the Foundation, including supporting the preparation of recurring monthly, quarterly and annual Wendy’s Wonderful Kids reports
  3. Analyze program demographics, census, utilization, outcomes and other key data; pull, extract and validate data from multiple sources to support routine reporting and ensure strong data hygiene, integrity and appropriate handling of de-identified data
  4. Apply established statistical tools and reporting methods, using SAS or R, to conduct quantitative analyses, identify trends in program outcomes and fidelity metrics and communicate insights through data storytelling, visualization and presentations for diverse stakeholders
  5. Work closely with the Foundation’s various teams to extract data from multiple systems to generate routine reports measuring a range of key performance indicators; maintain progress updates through the project management system (Asana)
  6. Assist in the preparation, production and dissemination of publications, presentations and research resources ensuring completion within established timelines
  7. Assume responsibility for professional growth, stay current on industry trends, best practices and emerging technologies in data analytics and data management, as well as developments and research within the child welfare community
  8. Perform other duties as assigned
Requirements:


KNOWLEDGE & SKILLS


The following qualifications are representative of the knowledge, skills and/or abilities required to serve in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


  • Demonstrated proficiency in data management, data analysis, statistical reporting, data visualization and qualitative research methods with the ability to synthesize complex data into actionable insights
  • Knowledge of data governance principles and experience applying operational excellence practices
  • Demonstrated experience with program evaluation or performance measurement, including the ability to quantify KPIs, assess implementation fidelity and conduct pre- and post-analysis to measure program effectiveness and outcomes
  • Excellent verbal and written communication skills, with the ability to translate and present complex analytical concepts and findings to both technical and non-technical audiences
  • Experience with Microsoft Office Suite, particularly Microsoft Excel and PowerPoint
  • Proactive and solutions-oriented, with the ability to work independently, apply strong critical thinking and analytical problem-solving skills, prioritize tasks effectively and demonstrate strong time management skills; exceptional attention to detail with a customer service focus
  • Ability to collaborate effectively across diverse teams and leadership levels while following established procedures and maintaining accountability
  • Demonstrates the desired values and competencies of the Foundation, with personal qualities of integrity and credibility; values diversity and supports an inclusive culture
  • High degree of self-awareness and interpersonal effectiveness, with the ability to manage sensitive or confidential information with discretion and maintain strict confidentiality
  • Flexible and adaptable, with the ability to manage multiple projects in a fast-paced environment while maintaining high-quality results


EDUCATION AND EXPERIENCE


  • Undergraduate degree required; statistics, data analytics or related degree preferred
  • 4+ years of program management experience with a focus on data analytics
  • Minimum 2 years of professional experience using R required, including scripting for data analysis and reproducible workflows
  • Experience with SAS and Python strongly preferred
  • Experience in child welfare with a focus on evidence-based and data-driven practices preferred
  • Background and/or experience with statistics or finance preferred


WORK ENVIRONMENT

  • Limited to no travel required



The Dave Thomas Foundation for Adoption is an equal employment opportunity employer and does not discriminate against any employee or applicant based on race, color, religion, religious beliefs, political affiliation, creed, HIV/AIDS status, ethnicity, sex, age, national origin, ancestry, disability, sexual orientation, gender, gender identity, gender expression, pregnancy, marital status, familial status, veteran/military status, predisposing genetic characteristics, domestic violence victim status, prior arrest or any other category protected by applicable law. Any employee who engages in such conduct is subject to disciplinary action, up to and including discharge.