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

Senior Data Analyst

Mason, OH ยท On-site

$80.90K - $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 ...

We're looking for a Data Analyst to join our Fraudsight team and help us unleash the potential of ... Strong skills in SQL and Python, added bonus if you have experience with R. * Proficient in working ...

Actuarial Data Analyst

Cincinnati, OH ยท Hybrid

$70K - $75K/yr

- 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 ...

As a part of the Product Manage Team, the Data Analyst will be responsible for leveraging MS SQL Server and Tableau to create, update, maintain, and analyze reports for various business units and/or ...

Data Analytics Engineer

Cincinnati, OH ยท On-site

$109.90K - $131.90K/yr

Role: DATA ANALYTICS ENGINEER Location: Cincinnati, OH (onsite) We are forward-thinking ... Knowledge of programming languages such as Python, SQL etc. * Understanding of data governance and ...

Associate Data Scientist

Cincinnati, OH

$56.60K - $57.10K/yr

... and analytical questions Working with Python, SQL, and modern ML libraries in cloud-based ... data quality and operational maintenance Contributing to dashboards, visualizations, and data ...

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 ยท On-site

$68 - $70/hr

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 ...

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ... Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ...

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ... Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ...

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ... Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ...

Associate Data Scientist

Cincinnati, OH ยท On-site

$56.60K - $57.10K/yr

Collaborating with business partners to understand data needs and analytical questions * Working with Python, SQL, and modern ML libraries in cloud-based environments * Supporting Retrieval-Augmented ...

Basic understanding of SQL and data visualization tools (Excel, Power BI, Tableau, etc.). * Analytical mindset and attention to detail. Additional Information All your information will be kept ...

Digital Analyst Internships

Covington, KY

$95.60K - $113.10K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Data Analyst Python Sql information

See Hamilton, OH salary details

$31.7K

$77K

$126.7K

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

As of May 30, 2026, the average yearly pay for data analyst python sql in Hamilton, OH is $76,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

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 are Data Analyst Python SQL jobs?

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 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 Hamilton, OH look for? The top searched job categories for Data Analyst Python Sql jobs in Hamilton, OH are:
What cities near Hamilton, OH are hiring for Data Analyst Python Sql jobs? Cities near Hamilton, OH with the most Data Analyst Python Sql job openings:
Senior Data Analyst

Senior Data Analyst

Narwal

Mason, OH โ€ข On-site

$80.90K - $102K/yr

Full-time

Posted 28 days ago


Job description

Responsibilities:

  • Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio.
  • Interprets and communicates insights to product, service and business management.
  • Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies.
  • Develops in-depth understanding of underlying data, data structures, and business uses of data.
  • Develop functional understanding of the business and apply towards building business facing marts
  • Partners with business teams to gather, document and maintain business requirements that will inform data modeling decisions.
  • Compiles data from various sources into a single, consumable, data set, including design and implementation of data cubes.
  • Required strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
  • 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 demonstrated through experience or certification. Eg., Hadoop, Spark, Hive, Pig, Impala.
  • Working Experience in ETL Tools like DataStage, Informatica and procedures including PL/SQL.
  • Experience with relational databases, OLAP Cubes and data warehousing (Oracle, DB2, Hadoop) preferred
  • Experience in data mining and root cause analysis preferred
  • Ability to work in a fast-paced and dynamic environment
  • Ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information.


Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred.
  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.