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Behavioral Data Analyst Jobs in Ohio (NOW HIRING)

Translate complex customer behavior data into scalable frameworks that inform future marketing innovation across channels. * Lead cross-functional analytics initiatives and enterprise-wide insights ...

Translate complex customer behavior data into scalable frameworks that inform future marketing innovation across channels. * Lead cross-functional analytics initiatives and enterprise-wide insights ...

Translate complex customer behavior data into scalable frameworks that inform future marketing innovation across channels. * Lead cross-functional analytics initiatives and enterprise-wide insights ...

... behaviors, product utilization, membership penetration and audience retention rates. * Develop ... Analyze membership data on a daily, weekly, monthly, quarterly and annual basis to identify trends ...

... Customer Data Analyst plays a critical role in understanding and improving the health of our ... behavior. This role partners closely with Marketing, Digital Media, E-Commerce, and Technology ...

... Customer Data Analyst plays a critical role in understanding and improving the health of our ... behavior. This role partners closely with Marketing, Digital Media, E-Commerce, and Technology ...

... behavior. This role partners closely with Marketing, Digital Media, E-Commerce, and Technology ... in Analytics, Data Science, or a related field; MBA or advanced degree a plus 3-5+ years of ...

Sr. Data Insights Analyst

Blue Ash, OH · On-site

$82K - $104K/yr

... behavioral data, e-Commerce, navigation/path analysis, search, and testing methodologies - Any experience leading stakeholders to identify and define KPIs across specific product teams - 1 year of ...

Senior Data Systems Analyst

Cincinnati, OH · On-site

$82K - $104K/yr

Validate system behavior under expected and peak business workloads. * Assess data processing ... Business Requirements Analysis * Partner with business stakeholders, product owners, and data ...

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Behavioral Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do behavioral data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for behavioral data analyst in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What does a behavioral data analyst do?

A Behavioral Data Analyst examines user behaviors, patterns, and interactions with products or systems using data analytics. They collect and analyze data from various sources, such as website interactions, app usage, and customer feedback, to understand decision-making processes. Their insights help improve product designs, marketing strategies, and user experiences. By leveraging statistical techniques and machine learning, they provide actionable recommendations to optimize business outcomes.

What does a typical day look like for a behavioral data analyst?

A typical day for a Behavioral Data Analyst involves collecting and cleaning behavioral datasets, performing statistical or predictive analyses, and interpreting patterns related to user or customer actions. You might collaborate closely with product managers, UX designers, marketers, or psychologists to translate analytical findings into business strategies or product improvements. The work often includes preparing reports, dashboards, or presentations to share insights with non-technical stakeholders. Additionally, you’ll frequently participate in team meetings to discuss project goals, methodologies, and how data-driven insights can solve specific organizational challenges.

What are the key skills and qualifications needed to thrive as a behavioral data analyst?

To thrive as a Behavioral Data Analyst, you need a strong analytical background, experience in behavioral science or psychology, and proficiency in statistics, typically supported by a relevant degree. Familiarity with data analysis tools such as R, Python, and SQL, as well as experience with data visualization platforms like Tableau, is highly valued, and certifications in data analytics can be advantageous. Strong communication, critical thinking, and problem-solving skills help you present findings clearly and work effectively with cross-functional teams. Combining technical expertise with interpersonal skills is essential for deriving actionable insights from complex behavioral data and driving informed decision-making.

How to become a behavior data analyst?

To become a behavioral data analyst, you typically need a bachelor's degree in fields like psychology, statistics, or data science. Developing skills in data analysis tools such as SQL, Python, or R, along with understanding behavioral theories, is essential; certifications in data analysis or statistics can also enhance job prospects.

Is behavior analyst a good career?

A behavior analyst is a professional who applies principles of behavior analysis to improve client outcomes, often working in healthcare, education, or clinical settings. The career offers strong job growth, competitive salaries, and requires certification such as the BCBA, along with skills in data collection and analysis. It is considered a rewarding and stable profession for those interested in behavioral science and helping others.

What is the role of a behavioral data analyst?

A behavioral data analyst examines data related to human behaviors and decision-making to identify patterns and insights. They use statistical tools and programming languages like Python or R to analyze large datasets, often working with marketing, user experience, or product teams to inform strategic decisions.

What are the most commonly searched types of Behavioral Data Analyst jobs in Ohio?

The most popular types of Behavioral Data Analyst jobs in Ohio are:

What job categories do people searching Behavioral Data Analyst jobs in Ohio look for?

The top searched job categories for Behavioral Data Analyst jobs in Ohio are:

What cities in Ohio are hiring for Behavioral Data Analyst jobs?

Cities in Ohio with the most Behavioral Data Analyst job openings:

Infographic showing various Behavioral Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Lead Data Analyst

Westlake, OH • On-site


RR Donnelley

6.3

Company rating: 6.3 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

36th of 52 rated marketing agency

Paid breaks


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Company Description

RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.

Job Description

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. This roles partners directly with clients to design, implement, and evolve marketing & data analytics programs. It leads engagements that require integration of multi-channel data, development of insights frameworks, and translates analytics into business outcomes across verticals.

Responsibilities:

  • Partner with client leaders to co-create marketing analytics strategies that support personalization, attribution, and media mix optimization.
  • Translate complex customer behavior data into scalable frameworks that inform future marketing innovation across channels.
  • Lead cross-functional analytics initiatives and enterprise-wide insights projects.
  • Represent analytics expertise in insight development, client consultations, strategic planning, and solution design.
  • Provide thought leadership across domains and mentor others in advanced analytics techniques.
  • Design and oversee strategic marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement.
Qualifications

Education:

  • 4 Year / Bachelors Degree In a quantitative field (Minimum)
  • Graduate Degree (Preferred)

Experience:

  • 9 years experience in Advanced Marketing or Product Analytics roles
  • Industry experience: Business vertical experience in. Retail, Financial Services, Automotive , or CPG strongly preferred.
  • Programming & Data Extraction: Expertise in Python and/or R. Strong SQL proficiency is mandatory; candidates must be able to read data models, write efficient queries, and independently extract data for analytic projects with limited assistance.
  • Statistical & Modeling Acumen: Must possess a strong foundation in probability theory, as well as linear, logistic, and multinomial regression. Candidates must be able to develop custom models using modern machine learning ensembling techniques and software, as well as building custom solutions directly in R and Python.
  • Specialized Modeling: Must have experience building customer and/or store segmentation models. A forecasting background with the ability to build custom ARIMAX models, along with Marketing Mix and Multi-Touch Attribution experience, is strongly preferred. Causal analysis experience is highly desirable.
  • Market Research Knowledge: Foundational understanding of attitudinal research and segmentation approaches. Ideal candidates will have developed behavioral models predicting attitudinal segments.
  • Generative AI: Comfortable using generative AI to develop code, conduct research, summarize methodology, and to develop client-facing presentations.

Interpersonal, Leadership & Consulting Skills (Required)

  • Communication Presentation: Strong communication and storytelling skills are an absolute must for this role. Candidates must be highly comfortable presenting to Executive-level clients.
  • Consultative Problem-Solving: Able to nimbly propose solutions to client problems. Although this is not a sales role, consultative selling skills are required for success.
  • Client Engagement: Strong active listening and documentation skills are required. The individual in this role must be able to identify solutions for clients that extend beyond their current request.
  • Leadership & Autonomy: While this is an Individual Contributor role, the expectation is that the individual will be able to lead projects and oversee the work of more junior analysts. Must be highly resourceful, capable of developing relationships with Marketing Technologies/IT and Account Management, and able to independently develop solutions with minimal supervision.
  • Work Style: Thrives in a dynamic, fast-paced environment. Energized by new challenges with an optimistic outlook, resilient to changes, and nimble in shifting direction quickly as needed.

Advanced Technical Stack Tools (Flexible/Preferred)

  • Cloud & Database Platforms: Experience with modern cloud database solutions such as Snowflake, AWS, Databricks, Microsoft Fabric, etc. Direct experience using Microsoft Fabric to build models for clients would be ideal.
  • Modern Data Stack: Strongly prefer experience with model development in a modern technology stack, specifically PySpark, Snowpark, and Pandas.
  • Data Architecture: Understanding of graph databases and NoSQL, alongside experience working with semi-structured and unstructured data, is strongly desired.
  • Data Engineering MLOps: Azure DevOps, Git, or similar version control background is essential. Must have basic data engineering skills and be comfortable collaborating with data engineers to develop production processes.
  • Web Analytics Integration: Google Analytics and BigQuery experience. Candidates must know how to integrate customer engagement data into analytic and modeling projects.
  • Business Intelligence Visualization: Familiarity with Business Intelligence solutions such as Tableau, Power BI, SiSense, and other platforms. The ideal candidate would have some skill using these tools to generate data visualizations.

Additional Information

RRD's current salary range for this role is $107,000 to $171,2000 / year. The salary range may be adjusted based on the applicable geographic location of the hired employee, and the range may change in the future. At RRD, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions may vary based upon, but not limited to education, skills, experience, proficiency, performance, shift and location. Depending on the role, in addition to base salary, the total compensation package may also include participation in a bonus, commission or incentive program. RRD’s benefit offerings include medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with company match, life insurance and other voluntary supplemental insurance coverages, plus parental leave, adoption assistance, tuition assistance and employer/partner discounts.

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RRD is an Equal Opportunity Employer, including disability/veterans

At RRD, we value innovation, authenticity, and integrity. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools during interviews to ensure an authentic and secure experience. We appreciate your cooperation as we work to maintain a transparent and equitable hiring process.

All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen.


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