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Analytics Associate Jobs in Ohio (NOW HIRING)

Location: 127 Public Square, Cleveland Ohio ABOUT THE JOB (JOB BRIEF) As a Quantitative Analytics Associate, under supervision, you will be responsible for the independent validation and review of ...

Location: 127 Public Square, Cleveland Ohio ABOUT THE JOB (JOB BRIEF) As a Quantitative Analytics Associate, under supervision, you will be responsible for the independent validation and review of ...

Associate

Beachwood, OH · On-site

$90K - $100K/yr

Utilize analytical and problem-solving skills to develop models, manipulate data, and uncover trends that reveal business opportunities for clients. Characteristics: Exhibits a proactive problem ...

Associate

Columbus, OH

$90K - $100K/yr

Utilize analytical and problem-solving skills to develop models, manipulate data, and uncover trends that reveal business opportunities for clients. Characteristics: Exhibits a proactive problem ...

Associate

Beachwood, OH · On-site

$90K - $100K/yr

Utilize analytical and problem-solving skills to develop models, manipulate data, and uncover trends that reveal business opportunities for clients. Characteristics: Exhibits a proactive problem ...

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Analytics Associate information

See Ohio salary details

$3.1K

$6K

$8.6K

How much do analytics associate jobs pay per month?

As of Jul 5, 2026, the average monthly pay for 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 can you do with an associate's in data analytics?

An analytics associate with an associate's degree can perform data collection, cleaning, and analysis using tools like Excel, SQL, and Tableau. They often support data-driven decision-making, generate reports, and assist in identifying trends for businesses or organizations.

How does an Analytics Associate typically collaborate with other departments within an organization?

Analytics Associates often work closely with teams such as marketing, finance, operations, and product management to understand their data needs and provide actionable insights. This collaboration involves regular meetings to discuss business goals, sharing analytical findings, and tailoring reports or dashboards to specific departmental objectives. Strong communication skills are key, as the role requires translating complex data analyses into clear recommendations for non-technical stakeholders. Building these cross-functional relationships not only enhances project outcomes but also provides valuable exposure to different areas of the business, supporting long-term career growth.

Can I be a data analyst with no experience?

While many data analyst roles prefer candidates with some experience, entry-level positions are available that focus on foundational skills such as Excel, SQL, and data visualization tools. Gaining relevant certifications or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

What is the difference between Analytics Associate vs Data Analyst?

AspectAnalytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Economics, or related field; often some certification in analytics toolsBachelor's degree in Statistics, Mathematics, or related; often similar certifications in data tools
Work EnvironmentCorporate settings, finance, marketing, or consulting firmsVarious industries including healthcare, finance, tech, and retail
Employer & Industry UsageCommon in finance, consulting, and corporate analytics teamsWidely used across industries for data-driven decision making

Analytics Associates and Data Analysts share similar educational backgrounds and work environments, often performing data collection, analysis, and reporting. The main difference lies in scope: Analytics Associates typically focus on supporting senior analysts and managers with specific projects, while Data Analysts may handle broader data interpretation and visualization tasks. Both roles are essential for organizations aiming to leverage data for strategic decisions.

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

To thrive as an Analytics Associate, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree in fields such as mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills enable Analytics Associates to transform complex data into actionable business recommendations, driving informed decision-making.

What does an analytics associate do?

An analytics associate collects, analyzes, and interprets data to help organizations make informed business decisions. They often use tools like Excel, SQL, or data visualization software and may prepare reports or dashboards to communicate insights to stakeholders.

Is 40 too late for data science?

For an Analytics Associate or similar data-related roles, starting a career at 40 is possible, especially with relevant skills like data analysis, programming, and familiarity with tools such as SQL or Python. Many professionals transition into data science later in their careers by gaining certifications or additional training, and age is generally not a barrier if the candidate demonstrates strong analytical skills and experience.
What are the most commonly searched types of Analytics jobs in Ohio? The most popular types of Analytics jobs in Ohio are:
What cities in Ohio are hiring for Analytics Associate jobs? Cities in Ohio with the most Analytics Associate job openings:
What are popular job titles related to Analytics Associate jobs in OH? For Analytics Associate jobs in OH, the most frequently searched job titles are:
Quant Analytics Senior Associate

Quant Analytics Senior Associate

JPMorgan Chase & Co

Columbus, OH

Full-time

Medical, Retirement

Posted 24 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description

The Finance Decision Optimization team is a group of product, analytics, and engineering experts who support the development of machine learning models and other tools used to drive strategic decisions across the Consumer and Community Banking Finance organization.

As a Data Science Senior Associate at JPMorganChase within the Finance Decision Optimization team, you will support the end-to-end model development lifecycle-from exploratory analysis to model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements and prototype solutions, partner closely with modeling and technology teams, and deliver analytics that drive measurable business outcomes in a fast-paced environment.

 Job responsibilities

  • Drive business outcomes and decision making through data and analytics, using data warehouse data to inform modeling approaches, understand customer behavior, and perform sensitivity analysis
  • Develop comprehensive knowledge of supported business units to deliver pragmatic, effective solutions
  • Translate business demands into technical requirement documents and collaborate with technology teams to deliver capabilities end-to-end
  • Work closely with end-users and data product owners during user acceptance testing and perform testing to ensure functionality meets end-user requirements
  • Partner with the business modeling team to develop and refine statistical models, continuously evaluating performance and effectiveness
  • Validate that production results comply with business requirements and expected results, and support ongoing monitoring and verification of production processes
  • Translate business requirements into prototype solutions for new requests and enhancements
  • Independently design, develop, and optimize complex SQL queries and Python scripts to support data validation, exploration, and integration with existing systems and codebases
  • Take a leadership role by contributing strategic direction and thought leadership as a critical member of the Finance Decision Optimization team
  • Manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • 3+ years of experience at a financial institution or consulting firm in corporate finance, banking, treasury, data analytics, or quantitative modeling
  • Strong problem-solving skills with excellent analytical, critical thinking, communication, organizational, and technical skills, with proven ability to collect, organize, and analyze significant amounts of information while maintaining attention to detail and accuracy
  • Proficiency in business analytics tools and programming languages to perform data analytics and drive business outcomes, including SQL and Python
  • Ability to communicate effectively with technical peers including data engineering and quantitative modeling teams, and translate data into concise and actionable recommendations

Preferred qualifications, capabilities and skills

  • Experience supporting large-scale data projects
  • Proficiency with additional analytics tools such as SAS, R, or similar
  • Experience with Databricks, Streamlit, and Amazon Web Services cloud environments

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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