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Data Analytics Jobs in Springboro, OH (NOW HIRING)

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Experience creating semantic models, datasets, data marts, and reporting frameworks. * Strong understanding of BI architecture, reporting governance, and analytics best practices. * Experience ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

Data Analyst

Dayton, OH · On-site

$61.90 - $141/hr

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

Apply data analytics, digital tools, and AI to assess current performance and identify improvements * Partner with cross-functional teams to identify trends, solve problems, and implement solutions

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 ...

Data Analyst

Dayton, OH · On-site

$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 ...

Data Analyst

Dayton, OH · On-site

$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 ...

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 ...

Develop data analytics, dashboards, reports, charts, graphs, and other visualizations using industry-standard data analysis and data science practices. * Transform complex data sets from multiple ...

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Data Analytics information

See Springboro, OH salary details

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$48

$83

How much do data analytics jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data analytics in Springboro, OH is $48.27, according to ZipRecruiter salary data. Most workers in this role earn between $38.80 and $54.66 per hour, depending on experience, location, and employer.

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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Springboro, OH?

The most popular types of Data Analytics jobs in Springboro, OH are:

What job categories do people searching Data Analytics jobs in Springboro, OH look for?

The top searched job categories for Data Analytics jobs in Springboro, OH are:

What cities near Springboro, OH are hiring for Data Analytics jobs?

Cities near Springboro, OH with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Springboro, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $100,404 per year, or $48.3 per hour.

Data Analytics

Mason, OH • On-site

CYNET SYSTEMS
IT Services • 501 - 1,000 employees

$50 - $55/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Job description

Job Overview:

Pay Range: $50.00hr - $55.00hr

Requirement/Must Have:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or related field.
  • 8+ years of experience in Data Analytics, Business Intelligence, Reporting, or Data Warehousing.
  • Advanced expertise in SQL, including complex querying, optimization, indexing strategies, and performance tuning.
  • Strong experience in data modeling, dimensional modeling, and database design.
  • Proven experience developing enterprise dashboards and reports using Power BI and/or Tableau.
  • Experience creating semantic models, datasets, data marts, and reporting frameworks.
  • Strong understanding of BI architecture, reporting governance, and analytics best practices.
  • Experience leading technical teams and delivering enterprise-scale reporting solutions.
  • Excellent analytical, problem-solving, and stakeholder management skills.
  • Strong verbal and written communication skills with the ability to present insights to executive leadership.

Responsibilities:

  • Lead the design, development, and implementation of enterprise reporting and analytics solutions.
  • Translate business requirements into scalable and efficient BI dashboards, reports, and data models.
  • Develop and optimize complex SQL queries, stored procedures, views, and large-volume data processing solutions.
  • Design and maintain dimensional and relational data models to support reporting and analytics initiatives.
  • Drive data quality, reporting governance, and BI best practices across the organization.
  • Build interactive dashboards, scorecards, and executive reporting solutions using Power BI and/or Tableau.
  • Define reporting standards, semantic models, KPI frameworks, and visualization best practices.
  • Collaborate with business stakeholders to identify opportunities for data-driven decision-making.
  • Analyze large datasets to generate actionable insights and business recommendations.
  • Lead technical teams and mentor developers, analysts, and BI engineers.
  • Participate in BI architecture reviews and data platform strategy discussions.
  • Ensure optimal report performance, scalability, security, and maintainability.
  • Work closely with Data Engineering, Product, Operations, and Business teams to deliver analytics solutions.
  • Support release planning, production deployments, and ongoing reporting enhancements.

Nice to Have:

  • Experience with Python for data analysis and automation.
  • Exposure to AI/ML-driven analytics solutions.
  • Experience with enterprise reporting modernization initiatives.
  • Knowledge of healthcare data domains such as Claims, Membership, Provider, or Clinical Data.
  • Experience working in Healthcare, Health Insurance, Financial Services, or other highly regulated industries.
  • Exposure to cloud-based analytics platforms such as Azure, AWS, or Google Cloud.
  • Experience with ETL/ELT frameworks and data integration processes.
  • Knowledge of data governance, data quality, and metadata management practices.
  • Experience with Agile delivery methodologies and DevOps processes.
  • Relevant certifications in Power BI, Tableau, Azure Data, or cloud analytics technologies.

Skills:

  • Advanced SQL.
  • Query Optimization & Performance Tuning.
  • Data Modeling.
  • Data Warehousing.
  • Data Analysis & Data Visualization.
  • Data Governance.
  • Statistical Analysis.
  • Power BI.
  • Tableau.
  • Dashboard Development.
  • Executive Reporting.
  • Semantic Models.
  • KPI & Metrics Design.
  • Reporting Governance.
  • SQL Server.
  • Oracle.
  • PostgreSQL.
  • Snowflake.
  • Azure SQL.
  • Azure Data Services.
  • AWS Analytics Services.
  • Databricks.
  • Data Lake Architecture.
  • Technical Leadership.
  • Solution Design.
  • Stakeholder Management.
  • Team Mentoring.
  • Strategic Decision Making.
  • Business Requirement Analysis.

Qualification And Education:

  • 8+ Years Data Analytics / Business Intelligence / Reporting / Data Warehousing.
  • 8+ Years Advanced SQL Development.
  • 8+ Years SQL Query Optimization & Performance Tuning.
  • 8+ Years Data Modeling & Database Design.
  • 8+ Years Dimensional Modeling.
  • 5+ Years Power BI Dashboard & Report Development.
  • 5+ Years Tableau Dashboard & Report Development.
  • 5+ Years BI Architecture & Reporting Solutions.
  • 5+ Years Executive Reporting & KPI Framework Design.
  • 5+ Years Semantic Models, Data Sets & Data Marts.
  • 5+ Years Reporting Governance & BI Best Practices.
  • 3+ Years Large-Scale Data Analysis.
  • 3+ Years Stakeholder Management & Business Requirement Analysis.
  • 3+ Years Technical Leadership & Team Mentoring.
  • 3+ Years Enterprise Reporting Solution Delivery.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.


Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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