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Data Analytics Jobs in Ohio (NOW HIRING)

AVI Foodsystems is looking for an energetic and optimistic team member to fill the role of Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most respected and ...

POOL: Data Analytics Instructor

Athens, OH · On-site

$19.75 - $25/hr

Data Analytics Instructor Applications Accepted From Public: Open to the Public Special Instructions to Applicants Instruction to occur in the Fall, 2026; Spring 2027; or Fall 2027 (as needed.) Data ...

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. * Create and edit visual content, including charts, graphs, and dashboards, to ...

Showing results 41-60

Data Analytics information

See Ohio salary details

$23

$52

$89

How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Ohio is $52.05, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.94 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
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 jobs? Cities in Ohio with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,259 per year, or $52 per hour.

Head of Data & Analytics

AVI Foodsystems

Warren, OH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


AVI Foodsystems rating

6.2

Company rating: 6.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

34th of 68 rated caterers


Job description

AVI Foodsystems is looking for an energetic and optimistic team member to fill the role of Head of Data & Analytics.

Founded in 1960, AVI Foodsystems has evolved into one of the most respected and trusted food service companies in the nation. Providing comprehensive food services with a focus on the highest quality and freshest ingredients, impeccable service and total value is the reputation we have earned and live up to everyday.

The Mission:
Transform the company’s data from a "back-office cost center" into a "strategic enterprise asset." This leader will oversee the decommissioning of legacy financial systems, the stabilization of the modern Cloud ERP ecosystem, and the orchestration of a unified Data Lakehouse across high-scale engineering and business intelligence platforms.

Executive & Strategic Responsibilities

  • C-Suite Advisory: Serve as a trusted advisor to the CEO, CFO, and COO, translating complex data initiatives into strategic business outcomes. You will provide the technical clarity needed for executive decision-making and long-term investment planning.

  • Sales & Account Partnership: Act as a "Technical Executive" in the field, supporting Account Executives during high-stakes negotiations with major customers. You will demonstrate the value of the organization’s data maturity and security posture to win and retain key enterprise accounts.

  • Customer-Centric Innovation: Conduct direct customer visits to understand how clients interact with our data products. Use these insights to bridge the gap between technical development and real-world customer needs.

  • Enterprise Data Model (EDM) Leadership: Architect and implement a robust Enterprise Data Model leveraging established frameworks and industry standards. You will ensure this model serves as the "Single Source of Truth" by reconciling data from Human Capital Management (HCM), ERP, and Service Management platforms.

  • Team Scaling (1 to Many): Lead the evolution of the data organization from its current state to a full-service department. You are responsible for hiring, onboarding, and scaling a high-performing team while fostering a culture of excellence.

  • The "Player-Coach" Approach: Act as a versatile leader who is equally comfortable in the boardroom defining strategy as they are "in the weeds" with the technical team. You will lead by example, providing hands-on technical guidance while coaching the team toward self-sufficiency.

Ideal Candidate Profile

  • Executive Presence: Proven track record of working alongside C-Suite leaders and presenting to external enterprise-level stakeholders.

  • Experience: 10+ years in data leadership, specifically leading digital transformation or major system migrations. Experience in a customer-facing or sales-support capacity is highly preferred.

  • Technical Mastery: Deep expertise in Data Modeling and modern cloud architectures. High "data fluency"—deep enough to review architecture, yet broad enough to lead AI/ML strategy.

  • Leadership Style: A natural Player-Coach who thrives on mentoring others but isn't afraid to roll up their sleeves to solve a complex architectural hurdle.

Initial 90-Day Priorities

  1. Strategic Alignment: Meet with the C-Suite and top Account Executives to identify the data points most critical to customer satisfaction and revenue growth.

  1. Architecture & Model Audit: Review the state of the 100+ internal apps and the existing data model to identify gaps against industry standards.

  1. Hiring & Capacity Planning: Assess current team capabilities and begin the recruitment process to scale the department.

Benefits:

  • A family culture and atmosphere
  • Competitive compensation
  • Health, dental, vision, and life insurance for full-time team members
  • 401(k) with generous company match
  • Paid vacations and holidays
  • Immense training and growth opportunities

We conduct pre-employment drug testing. EOE

#LI-DP1


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    About AVI Foodsystems

    Sourced by ZipRecruiter

    Founded in 1960, AVI Foodsystems has evolved into one of the most respected and trusted food service companies in the nation. Providing comprehensive food services with a focus on the highest quality and freshest ingredients, impeccable service and total value is the reputation we have earned and live up to everyday.

    Industry

    Food services and drinking places

    Company size

    5,001 - 10,000 Employees

    Headquarters location

    Warren, OH, US

    Year founded

    1960

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