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Data Analytics Masters Jobs in Ohio (NOW HIRING)

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3-5+ years of experience in data analysis, customer analytics, or marketing analytics * Strong ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3-5+ years of experience in data analysis, customer analytics, or marketing analytics * Strong ...

... Analytics, Data Science, or a related field; MBA or advanced degree a plus 3-5+ years of experience in data analysis, customer analytics, or marketing analytics Strong experience working with ...

Special Projects & Analytics * Support special projects, and ad hoc analyses, including initiatives ... Strong analytical and organizational skills with high attention to detail Preferred * CPA, MBA, or ...

MBA Consultant, Finance

Westerville, OH ยท On-site +1

$35 - $45/hr

Job Title: MBA Consultant, Finance Location: Westerville, OH (On-site/4 days in office, 1 day ... Analyze financial data, trends, and KPIs to identify risks, opportunities, and operational insights

MBA Consultant, Finance

Westerville, OH ยท On-site

$35 - $45/hr

Job Title: MBA Consultant, Finance Location: Westerville, OH (On-site/4 days in office, 1 day ... Analyze financial data, trends, and KPIs to identify risks, opportunities, and operational insights

MBA Consultant, Finance

Westerville, OH ยท On-site +1

$35 - $45/hr

Job Title: MBA Consultant, Finance Location: Westerville, OH (On-site/4 days in office, 1 day ... Analyze financial data, trends, and KPIs to identify risks, opportunities, and operational insights

Showing results 21-40

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.

Customer Data Analyst

Express

Columbus, OH โ€ข On-site

Other

Re-posted 19 days ago


Job description

Overview
About PHOENIX
PHOENIX Retail, LLC is a retail platform operating the Express and Bonobos brands worldwide.
About Express
Express is a multichannel apparel brand dedicated to a design philosophy rooted in modern, confident and effortless style whether dressing for work, everyday or special occasions. Since its launch in 1980, the brand has embraced a design philosophy rooted in modern, confident and effortless style. Express ensures you look and feel your best, wherever life takes you. The Company operates over 400 retail and outlet stores in the United States and Puerto Rico, the express.com online store and the Express mobile app.
About Bonobos
Our Bonobos menswear brand is known for being a style instigator and offering perfect-fit risks through our innovative retail model and personalized experience. Launched online in 2007 with its signature line of chinos, Bonobos now offers a variety of styles available to order online and to try on at any one of our 50 Guideshop locations and at www.bonobos.com. Our Guideshops are in-real-life stores that deliver one-on-one service and expert fit advice. Don't think traditional retail, Bonobos is something you haven't seen before.
Location Name
Columbus Corporate Headquarters
Responsibilities
POSITION OVERVIEW
The Customer Data Analyst plays a critical role in understanding and improving the health of our customer file across new and existing customers. This specialist-level role focuses on analyzing customer KPIs, identifying trends in acquisition, retention, and reactivation, and evaluating the impact of product, shopping experience and marketing performance on customer behavior. This role partners closely with Marketing, Digital Media, E-Commerce, and Technology teams to translate complex data into clear, actionable reporting that drives smarter decisions and measurable business impact.
KEY RESPONSIBILITIES
Customer File Analytics & KPI Reporting
  • Analyze and report on core customer file KPIs, including acquisition, retention, reactivation, frequency, spend, and lifetime value
  • Perform deep-dive analysis to understand the drivers behind customer trends and performance changes
  • Monitor customer file health over time, identifying risks and opportunities tied to product, channel, and marketing performance

Marketing & Product Performance Analysis
  • Evaluate the effectiveness of marketing campaigns and product initiatives as they relate to customer growth and loyalty
  • Partner with Digital Marketing to support ecommerce and marketing analytics
  • Assist in identifying opportunities to improve marketing ROI and customer engagement through data-driven insights

Reporting, Dashboards & Storytelling
  • Develop and maintain dashboards and reporting tools to track customer and marketing performance
  • Translate complex datasets into clear, actionable insights for marketing, merchandising, and leadership teams
  • Support the development of standardized reporting frameworks and recurring performance readouts

Data Integrity & Collaboration
  • Partner with Technology and Platform teams to maintain the customer database, ensuring accuracy, consistency, and growth across online and offline channels
  • Ensure data integrity through validation, cleansing, and ongoing quality checks
  • Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement

REQUIRED EXPERIENCE & QUALIFICATIONS
  • Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus
  • 3-5+ years of experience in data analysis, customer analytics, or marketing analytics
  • Strong experience working with customer databases and large datasets
  • Proficiency in data extraction and analysis
  • Experience with Google Analytics and CRM or marketing automation platforms
  • Experience with data visualization and BI tools
  • Advanced Excel skills; familiarity with statistical analysis techniques
  • Experience in ecommerce or digital-first businesses; fashion retail preferred
  • Ability to manage multiple workstreams independently in a fast-paced environment
  • Strong attention to detail with the ability to communicate insights clearly to non-technical stakeholders

Closing
If you would like to know more about the California Consumer Privacy Act click here.
Applicants must be currently authorized to work full-time in the United States. PHOENIX does not sponsor applicants for work visas (e.g., H-1B or TN status) for this position.
An equal opportunity employer, PHOENIX does not discriminate in recruiting, hiring or any other terms and conditions of employment hiring on the basis of any federal, state, or locally protected characteristic. PHOENIX only hires individuals authorized for employment in the United States. PHOENIX is committed to providing reasonable accommodation to individuals with disabilities. If you need an accommodation to search and apply for a job position due to a disability, please call 1-800-964-9793 and say 'Associate Relations' or send an e-mail to AssociateRelations@Express.com and let us know the nature of your request and your contact information.
Notification to Agencies: Please note that PHOENIX does not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement and approval from HR to submit resumes for a specific requisition, PHOENIX will not consider or approve payment to any third-parties for hires made.