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Live In Data Analyst Developer Jobs in Ohio (NOW HIRING)

Data Analyst

Akron, OH ยท On-site

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or ...

Data Analyst

Akron, OH

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or ...

Urgent Need Sr Data Analyst with HIE exp

Dayton, OH ยท On-site

$83K - $105K/yr

... in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other ...

Senior Data Analyst

Brooklyn, OH ยท On-site

$80K - $101K/yr

Education * Bachelor's Degree in Data Analytics, Business, Finance, Economics, Engineering, Computer Science, MIS, Statistics, or a related field (preferred) * Master's Degree or equivalent ...

Senior Data Analyst

Brooklyn, OH

$80K - $101K/yr

Education * Bachelor's Degree in Data Analytics, Business, Finance, Economics, Engineering, Computer Science, MIS, Statistics, or a related field (preferred) * Master's Degree or equivalent ...

Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ... we live and work. We strive to provide a workplace where all of our colleagues feel respected ...

Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ... we live and work. We strive to provide a workplace where all of our colleagues feel respected ...

Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ... we live and work. We strive to provide a workplace where all of our colleagues feel respected ...

Data Business Analyst

Columbus, OH ยท On-site

$72.50/hr

... located in Brooklyn, OH, Columbus, OH, Buffalo, NY, or Albany, NY. This is a 6+ month contract ... engineers, and downstream consumers to define requirements, analyze data, and ensure accurate ...

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Live In Data Analyst Developer information

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

In the field of data analysis and development, earning $1,000,000 annually is rare and typically involves executive roles such as Chief Data Officer or senior data executives in large corporations, often combined with bonuses, stock options, or profit sharing. High-level roles requiring extensive experience, advanced skills in data management, analytics, and leadership are more likely to reach this income level, especially in industries like finance, technology, or consulting. Most data analysts and developers earn significantly less, with top earners reaching high six-figure or low seven-figure salaries through leadership positions or entrepreneurial ventures.

What jobs pay 200,000 a year in the USA?

In the USA, high-paying roles for data analysts or developers, such as senior data scientists, data engineering managers, or lead analytics developers, can reach or exceed $200,000 annually with extensive experience, advanced skills in programming, machine learning, and data architecture, and often require certifications or advanced degrees. These positions are typically found in large corporations, finance, technology, or consulting firms and may involve leadership responsibilities or specialized expertise.

What jobs in the US pay 300,000 a year?

For a Live In Data Analyst Developer, annual salaries of $300,000 or more are typically found in senior or executive roles such as data science directors, chief data officers, or specialized consulting positions. These roles often require extensive experience, advanced skills in data analysis, programming, and leadership, and may include bonuses or profit sharing that contribute to total compensation.

Is 40 too late for data science?

For a Live In Data Analyst Developer role, starting a career in data science at age 40 is feasible, as many skills such as programming, statistical analysis, and data visualization can be learned at any age. Experience, continuous learning, and relevant certifications like SQL, Python, or R can enhance employability regardless of age.

What is the difference between Live In Data Analyst Developer vs Live In Data Scientist?

AspectLive In Data Analyst DeveloperLive In Data Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related field; programming skills in SQL, Python, or RBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentCollaborative teams in tech or finance sectors, often client-facingResearch-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data analysis and development in live environmentsUsed for advanced data modeling, predictive analytics, and research

The main difference is that Live In Data Analyst Developers focus on developing and maintaining data analysis tools in live settings, combining coding with analysis. Live In Data Scientists typically perform more advanced statistical modeling and predictive analytics, often in research or strategic roles. Both roles require strong technical skills, but Data Scientist roles tend to involve more complex statistical work.

What cities in Ohio are hiring for Live In Data Analyst Developer jobs? Cities in Ohio with the most Live In Data Analyst Developer job openings:

Data & Performance Measurement Analyst

Dave Thomas Foundation for Adoption

Dublin, OH โ€ข On-site

Full-time

Posted 23 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 Americaโ€™s foster care systems. Created by Wendyโ€™sยฎ 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 Wendyโ€™s Wonderful Kids Child Trends database to measure and document the work of the Foundation. This position supports the Foundationโ€™s mission by leveraging both quantitative and qualitative data to demonstrate the impact of the Wendyโ€™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 Foundationโ€™s efforts to strengthen positive outcomes for the children we serve.


ACCOUNTABILITIES

  1. Produce routine data reports and summaries that communicate the Foundationโ€™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 Wendyโ€™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 Foundationโ€™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.