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Python Analytics Jobs in Cincinnati, OH (NOW HIRING)

SEI

Data and Analytics Consultant

Cincinnati, OH · On-site

Experience and knowledge of programming and scripting languages, such as but not limited to Python ... Advanced Analytics and Data Visualizations * Extensive experience or knowledge of data ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

US Bank

Fraud Risk Analyst

Cincinnati, OH · On-site

... SQL, or Python. You will identify emerging fraud trends, develop rules, and implement proven ... Incorporate AIdriven analytics, automation, and visualization tools to support innovation, strategy ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

Procter & Gamble

Data AnalystRemote

Mason, OH

Skills and Qualifications Strong analytical and problem-solving skills Proficiency in data analysis tools such as Python, R, SQL, and Excel Knowledge of statistical methods and data modeling ...

Danaher

Digital Analyst Internships

Covington, KY · On-site

$95K - $113K/yr

... like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Covington, KY

$95K - $113K/yr

... like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc) * Knowledge of Big Data landscape as ...

FocusKPI

Marketing Operations Analyst

Covington, KY · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Covington, KY

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

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All JobsPython Analytics JobsPython Analytics Jobs in Cincinnati, OH

Python Analytics information

See Cincinnati, OH salary details

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How much do python analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for python analytics in Cincinnati, OH is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What are popular job titles related to Python Analytics jobs in Cincinnati, OH? For Python Analytics jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Cincinnati, OH look for? The top searched job categories for Python Analytics jobs in Cincinnati, OH are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $116,991 per year, or $56.2 per hour.

Data and Analytics Consultant

SEI

Cincinnati, OH • On-site

Full-time

Re-posted 23 days ago

Job description

WHO WE LOOK FOR
An SEI-er is a master communicator and active listener who understands how to navigate an audience. Self-aware, almost to a fault, SEI-ers keenly understand how to adjust their support and problem solving based on the situation. Following a logical, fact-based approach, SEI-ers possess the superior ability to see correlations others may not, ask the right questions and drive solutions.
As super-connectors, they connect not only people, but data, trends and experiences. Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues. SEI-ers are ethical and trustworthy individuals who consistently and repeatedly follow through, and hold true to their values in difficult situations. SEI-ers have an insatiable curiosity and love to learn. These individuals are commonly tech savvy and early adopters. Their passion for learning is infectious and excites others. As every project is different, an SEI-er must be adaptable and comfortable with unexpected situations. SEI-ers define ambition differently. They are authentic, low-maintenance individuals who truly enjoy one another- they like to hang out with colleagues outside of work, collaborate and hold one another accountable. SEI-ers enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends, and family.
WHAT WE DO
Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We're known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.
We are actively looking for professionals in the following areas:
  • Data Strategy
  • Data Governance
  • Data Modernization
  • Advanced Analytics
  • Data Visualization

The ideal candidate's experience may include but is not limited to the following:
  • Have experience understanding and solving real business problems
  • Have experience with presenting business case and strategy to the C-Suite
  • Bring industry domain knowledge for custom data and analytics strategies
  • Experience in designing and implementing data driven products and services
  • Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:
Data Strategy and Governance
  • Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
  • Proven experience in transforming our clients from on-prem data platforms to the cloud.
  • Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
  • Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
  • Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
  • Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
  • Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering
  • Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
  • Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
  • Ability to design and build complex data pipelines that either stream data in
  • Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
  • Experience and knowledge of data integration tools and platforms
  • Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
  • Ability to design and build data models using the appropriate technics to meet business objectives
  • In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations
  • Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
  • Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
  • Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
  • Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
  • Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
  • Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a "seat at the table" and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis - we do what it takes to get the job done.
QUALIFICATIONS
Required-
  • Alignment to our core values: Excellence, Participation, Integrity and Collaboration
  • Hungry, Humble, Smart
  • Demonstrated business and technology acumen
  • Strong written and verbal communication skills
  • Understanding and experience solving real business problems
  • Proven track record of delivering results
  • Experience working with and/or leading a team
  • Ability to work across industries, roles, functions & technologies
  • Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-
  • Bachelor's degree
  • 8+ years professional experience
  • Experience across our service offerings

Systems Evolution, Inc. (SEI) is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

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