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Data Analytics Associate Jobs in Ohio (NOW HIRING)

... As a Quantitative Analytics Associate, under supervision, you will be responsible for the ... This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing ...

... As a Quantitative Analytics Associate, under supervision, you will be responsible for the ... This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing ...

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Data Analytics Associate information

See Ohio salary details

$3.1K

$6K

$8.6K

How much do data analytics associate jobs pay per month?

As of Jun 24, 2026, the average monthly pay for data analytics associate in Ohio is $5,980.50, according to ZipRecruiter salary data. Most workers in this role earn between $5,425.00 and $6,375.00 per month, depending on experience, location, and employer.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting insights, making strategic decisions, and managing complex datasets. The role of a Data Analytics Associate involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

What does the data analysis associate do?

A Data Analytics Associate collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports, often working under the guidance of senior analysts or managers. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analytics jobs in Ohio? The most popular types of Data Analytics jobs in Ohio are:
What cities in Ohio are hiring for Data Analytics Associate jobs? Cities in Ohio with the most Data Analytics Associate job openings:
Quantitative Analytics Associate - Controllership

Quantitative Analytics Associate - Controllership

Keybank

Brooklyn, OH

Full-time

Posted 28 days ago


KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

37th of 141 rated banks


Job description

Location:

4900 Tiedeman Road, Brooklyn Ohio

JOB BRIEF (PURPOSE)

As part of the Risk Modeling Enablement team within Finance, responsibilities for this position include, but are not limited to:

  • Supporting the implementation, testing, documentation, and on-going validation of credit loss forecasting models for use in CECL Allowance and Capital Stress Testing
  • Coordinating with Lines of Business, Data Owners, Risk Management, and Key Technology, Operations, and Services (KTOS) to ensure alignment with all activities impacting credit loss models
  • Creating and/or maintaining production environments for ongoing credit loss forecasting, including creation of process controls
  • Working both independently and as part of cross-functional teams to perform business, data, and application analysis to implement business requirements on a variety of reporting needs and strategic project initiatives

This role requires developing close relationships with the model development and reporting groups and understanding the impact of changing portfolio characteristics as well as economic and financial environments on model results. The position will require the ability to understand various statistical methodologies used to forecast credit losses, to complete analysis supporting critical business processes, and to understand and access various data sources, analytical platforms, and reporting platforms, including the use of cloud interfaces for programming and engineering.

ESSENTIAL JOB FUNCTIONS

  • In working with other teams within Finance, support orderly maintenance and development of a Google Cloud Platform (GCP) environment for model development and deployment
  • Assist with design of and implementation of production applications for credit loss modeling
  • Gather client requirements and translate to technical specifications; working closely with Risk Management Information Reporting (RMIR) and KTOS teams on changes to the production CECL environment, system conversions, quarterly change cycles, technical error resolution, production support, and other enhancements
  • Critical participation in annual Capital Plan Stress Tests, working closely with groups across the organization to produce and vet Credit Loss and Allowance forecasts
  • Perform data and process validation during development, testing, and production phases of various projects, including maintaining detailed records of development process
  • Communicate key points to respective stakeholders, with the appropriate level of detail for the relevant partners
  • Continue to evolve processes and use of technology with a focus on continuous improvement, leveraging new technologies, and identifying and implementing efficiencies; working with teammates and partners to document and ensure use of best coding practices

REQUIRED QUALIFICATIONS

  • Bachelor's Degree (Math, Statistics, Data Analytics, Computer Science, Finance, Accounting or related degree preferred)
  • Two years of relevant accounting, finance, analytics, or modeling experience, or a graduate degree in a related field
  • Proficiency in Python (e.g., NumPy, Pandas) or other Object-Oriented Programming language
  • Database querying and data transformation experience (e.g., Excel, BigQuery, DB2)
  • Familiarity with building reporting dashboards, including through the use of Tableau, Google Looker Studio, or other similar tools
  • Experience dealing with complex and large data sets from multiple sources to support analytical processes
  • Excellent communication skills
  • Quantitative, analytical, problem solving, and decision-making skills
  • Detail-focused organizational skills required to coordinate and manage multiple tasks simultaneously to meet strict deadlines

PREFERRED QUALIFICATIONS

  • Experience with Git, and demonstrable coding best-practices
  • Familiarity with Cloud Analytics (e.g., Google Cloud Platform, Azure, AWS)
  • Experience with quantitative modeling or forecasting
  • Familiarity with Current Expected Credit Loss financial accounting standards
  • Experience with bank stress testing (e.g., CCAR, DFAST)
  • Familiarity with ReactJS

COMPETENCIES/SKILLS

  • Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly complex problems; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decision
  • Communication: Solid written and verbal communication skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders with the appropriate level of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present
  • Partnering / Influencing: Proven relationship building ability; Strong interpersonal skills; Sought out to by business partners and team members
  • Business Acumen: Understands key drivers of financial results and business impact; Developing understanding of how business works; Possesses intellectual curiosity
  • Commitment: Exhibits ability to work under pressure, discipline to meet deadlines, ability to multi-task and consistently demonstrates flexibility in a dynamic environment

EQUIPMENT/SOFTWARE USED

Microsoft Office Suite, Python, Google Cloud Platform (GCP) and related tools (BigQuery, Cloud Storage, Looker Studio, etc.), VSCode, Tableau

#LI-KH1

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $68,000.00 - $103,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 06/24/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

#LI-Hybrid

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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849