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Data Analyst Python Sql Jobs in Cincinnati, OH (NOW HIRING)

Data Analyst

Mason, OH · On-site +1

Proficiency in data analysis tools such as Python, R, SQL, and Excel * Knowledge of statistical methods and data modeling * Expertise in data cleaning and preprocessing techniques * Data ...

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 ...

Senior Data Analyst (SQL / SAP)

Hebron, KY · On-site

$82K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Data Analyst to design and maintain scalable data solutions that support data-driven decision-making across the organization. This role focuses on advanced SQL development and ...

New

Senior Data Analyst (SQL / SAP)

Hebron, KY · On-site

$82K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Data Analyst to design and maintain scalable data solutions that support data-driven decision-making across the organization. This role focuses on advanced SQL development and ...

New

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...

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 ...

Process Improvement Data Analyst II

Cincinnati, OH

$63K - $78K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Build and maintain scalable datasets and data models using SQL and BI tools* Define and track key ... Familiarity with other data analysis tools and programming languages (e.g., Python, R) is ...

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

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

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do Squad: Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday ...

Data Analyst

Cincinnati, OH · On-site

$31.52 - $39.13/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with data analysis and tools (e.g., Excel, SQL, or similar platforms) * Ability to synthesize complex data into clear insights and recommendations * Strong written and verbal communication ...

Senior Data Analyst

Cincinnati, OH · On-site

$82K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Analyst Primary Duties and Responsibilities: General Electric Credit Union is a ... Exposure to Snowflake, Jira, and Microsoft SQL Server Reporting Services required. * Understanding ...

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Showing results 1-20

Data Analyst Python Sql information

See Cincinnati, OH salary details

$32.6K

$79.3K

$130.5K

How much do data analyst python sql jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst python sql in Cincinnati, OH is $79,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 per year, depending on experience, location, and employer.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Cincinnati, OH look for? The top searched job categories for Data Analyst Python Sql jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Data Analyst Python Sql jobs? Cities near Cincinnati, OH with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $79,291 per year, or $38.1 per hour.

Data Analyst

Procter & Gamble

Mason, OH • On-site, Remote

Contractor

Re-posted 20 days ago


Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

67th of 538 rated manufacturers


Job description

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.
Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data-driven solutions to business problems.
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
  • Expertise in data cleaning and preprocessing techniques
  • Data visualization proficiency using tools like Tableau or Power BI
  • Strong problem-solving skills for data-related challenges
  • Excellent communication skills to convey complex data insights to non-technical stakeholders

Optional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries.
A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis. They play a critical role in uncovering insights that drive effective decision-making and business success.
Job Description: A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant. DBAs also work to protect databases from unauthorized access and data breaches.
Skills Needed: - Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems - Experience with database administration tools and utilities - Ability to work with large datasets and complex queries - Excellent problem-solving and troubleshooting skills - Ability to work independently and as part of a team - Optional skills: Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in relevant industries
P&G's freelancer opportunities are for project-based or other short-term engagements that require specialized skills. Successful candidates for freelancer opportunities will not be considered employees of The Procter & Gamble Company or any of its subsidiaries nor will candidates be eligible for employment benefits. Candidates looking for regular full-time employment opportunities should begin their search here: pgcareers.com.
  • Published on 24 Jun 2026, 12:39 AM

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Benefits

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About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837