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Data Analytics Masters Jobs in Ohio (NOW HIRING)

CCBTA Data Architect Senior Associate

Columbus, OH ยท On-site

$65 - $87/hr

  • Medical

  • Retirement

Join our Core Treasury Analytics team and play a pivotal role in designing and developing the ... Desire and/or progress towards MBA, CFA charter, CPA, CTP or other financial certifications ABOUT ...

We deliver mission-critical protection and valuable data for a wide range of systems, including ... In a business marketing field with clear technical capabilities and financial analytics * MBA ...

Sr Analyst - International FP&A

Dublin, OH ยท On-site

$81K - $138K/yr

  • Retirement

Play key role in automation of sales reports and other data & analytics projects. * Support ... Strong working knowledge of GAAP, operations, supply chain, and financial analysis. * MBA or CPA ...

Sr Analyst - International FP&A

Dublin, OH ยท On-site

$81K - $138K/yr

  • Retirement

Play key role in automation of sales reports and other data & analytics projects. * Support ... Strong working knowledge of GAAP, operations, supply chain, and financial analysis. * MBA or CPA ...

Senior Business Analyst

Van Wert, OH ยท On-site

$85 - $120/hr

This role will leverage data analytics and ERP infrastructure to evaluate financial performance ... Bachelor's degree in Finance, Economics, Business Administration, or a related field (MBA highly ...

Portfolio Analytics & Strategy Specialist Sr.

Cleveland, OH

$112K - $208K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Portfolio Analytics & Strategy Specialist Sr. within PNC's Data, Modeling, and Analytics ... Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry ...

New

We deliver mission-critical protection and valuable data for a wide range of systems, including ... In a business marketing field with clear technical capabilities and financial analytics * MBA ...

Showing results 41-60

Data Analytics Masters information

See Ohio salary details

$21.5K

$93.6K

$167.3K

How much do data analytics masters jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analytics masters in Ohio is $93,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,960.00 and $122,035.00 per year, depending on experience, location, and employer.

What is a data analytics master?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

What is a data analytics master's degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

What are the key skills and qualifications needed to thrive as a data analytics master?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What types of real-world projects or collaboration opportunities can a data analytics master expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

What is the difference between Data Analytics Masters vs Data Analyst?

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

Is a master's in data analytics worth it?

A master's in data analytics can enhance job prospects for data analysts by providing advanced skills in statistical analysis, programming, and data visualization tools like Python and Tableau. It often leads to higher salaries and roles with greater responsibility, making it a valuable investment for those seeking to advance in the field.

What can I do with a master's in data analytics?

A master's in data analytics prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These roles involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.

What are the most commonly searched types of Data Analytics Masters jobs in Ohio?

The most popular types of Data Analytics Masters jobs in Ohio are:

What are popular job titles related to Data Analytics Masters jobs in Ohio?

For Data Analytics Masters jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Data Analytics Masters job openings in Ohio as of August 2026, with employment types broken down into 16% Internship, and 84% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $93,572 per year, or $45 per hour.

CCBTA Data Architect Senior Associate

J.P. Morgan

Columbus, OH โ€ข On-site

$65 - $87/hr

Full-time

Medical, Retirement

Re-posted 11 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Are you ready to make a significant impact across the Consumer & Community Banking finance organization? Join our Core Treasury Analytics team and play a pivotal role in designing and developing the Treasury DataMart. This is your chance to empower streamlined and intelligence-driven perspectives to senior management, contributing to high-profile decision making on both core and topical challenges.

As a Finance & Business Management professional within the Finance and Consumer & Community Banking Operations team, you will lead the preparation of comprehensive business reviews, objectives and key results (OKRs), monthly updates, and ad-hoc deliverables for senior members of the Finance and Consumer & Community Banking Operations Leadership team. You will support leadership by planning agendas and materials for monthly all-day offsites, preparing summaries for internal and external engagements, and ensuring the accuracy and integrity of all materials and metrics with appropriate supporting data. You will author clear, concise talking points and monthly communications for JPMorgan Chase & Co. senior leaders, providing insight into business performance and strategic initiatives, while managing follow-up items to ensure proper sequencing and completion. In this role, you will partner closely with Finance, Human Resources, Strategy, and Communications teams, as well as collaborate across business managers to execute strategic initiatives and monitor outcomes. You will regularly communicate with, influence, and support colleagues at all levels of the organization, including senior leaders, while handling highly confidential information with professionalism and discretion

Job Responsibilities:

  • Play a pivotal role in transaction-level data enrichment and transformation. You will use analytics to derive key insights on money movement and consumer health, making a tangible impact throughout the organization.
  • Dive deep into our financial reporting platforms and develop a key repository for treasury analytics. You'll promote key analysis and provide a strategic repository for model assumption inputs, becoming a go-to expert in the field.
  • Hone your skills in delivering high-impact, well-structured analytical solutions. Support the team's analytical perspectives with finance and non-finance audiences alike, sharing compelling messages with our senior leaders.
  • Leverage existing tools and techniques to create repeatable processes for intelligence creation. Integrate the newest technology advancements to further reduce errors and maximize the speed to insights, promoting innovation at every turn.
  • Work closely with our Technology Team to design and deliver cutting-edge data domains into the Finance Data Mart. Your efforts will bring together essential data categories, integrally supporting the Treasury function's analytical and reporting needs with precision and efficiency.
  • Gain unparalleled exposure to core finance and banking skills, including interest rate risk, capital, liquidity, transfer pricing, valuation, and strategic analytics, exploring a wide range of elements of our fortress balance sheet.

Required qualifications, capabilities, and skills:

  • 4+ years of full-time work experience in data architecture, financial reporting system or data analytics
  • Advanced experience with business intelligence analytic and data wrangling tools such a Python, SAS, SQL, and Alteryx
  • Experience with relational databases including optimizing data pipelines to load, process, transformer and stage data for intelligence generation ensuring data quality through profiling, cleansing and validation
  • Practical knowledge in financial analysis, competitive analytics and data management
  • Bachelor's degree in MIS, Computer Science, Finance, Accounting, Mathematics, Engineering, Statistics or other quantitative, analytical or financial subject areas
  • Advanced Excel use including structured process to prototype and solution analysis which is easy to follow, helping to answer complex and/or ambiguous questions
  • Working knowledge of retail banking and products
  • Excellent communication skills both written (Presentation/PowerPoint, Memo/Word) and verbal with experience in debating complex concepts with senior leaders

Preferred qualifications, capabilities, and skills

  • Experience developing in AWS, Databricks and Snowflake
  • The ideal candidate will be highly self-motivated, thrive in a dynamic environment with shifting priorities, and have passion and intellectual curiosity to find and capture business value
  • Familiarity with Hyperion Essbase, Dodeca, PitchPro, Tableau and relational data structures
  • Desire and/or progress towards MBA, CFA charter, CPA, CTP or other financial certifications

ABOUT US

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

ABOUT THE TEAM

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.