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Full Time Data Analyst Rotational Program Jobs Near Me

Dublin, OH Work Model: Hybrid Position type: Full time - salary We're a team of employees ... Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data ...

Dublin, OH Work Model: Hybrid Position type: Full time - salary We're a team of employees ... Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3 ... Applicants must be currently authorized to work full-time in the United States. PHOENIX does not ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3 ... Applicants must be currently authorized to work full-time in the United States. PHOENIX does not ...

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Employee vehicle program * Bonus eligibility * Paid Parental Leave * Generous PTO and Company paid ... All pay ranges are based on a full-time work schedule. This statement is in accordance with state ...

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How much do full time data analyst rotational program jobs pay per year?

As of Jul 13, 2026, the average yearly pay for full time data analyst rotational program in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Full Time Data Analyst Rotational Program jobs? Cities with the most Full Time Data Analyst Rotational Program job openings:
What are the most commonly searched types of Data Analyst Rotational Program jobs? The most popular types of Data Analyst Rotational Program jobs are:
A map of the United States highlighting the number of Full Time Data Analyst Rotational Program job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Full Time Data Analyst Rotational Program job openings in each state, with California having the most at 2 and Hawaii the least at 0.
Data & Performance Measurement Analyst

Data & Performance Measurement Analyst

Dave Thomas Foundation for Adoption

Dublin, OH • On-site

Full-time

Re-posted 11 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.