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Senior Python Data Analysis Jobs in Ohio (NOW HIRING)

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

Conduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to ... Expert proficiency in a scripting language such as Python, including Python data libraries (numpy ...

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

... Python, Data Robot, and SAS. • Experience using BI Tools; preferably Tableau • Experience using SQL; preferably Postgres SQL and T-SQL • 3 years leading agile project delivery for analytical ...

Sarian, Inc.

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning tasks. * Testing: Implementing test-driven development and ...

DPDHL

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

DHL

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

Procter & Gamble

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 ...

Goosehead

Senior Sales Analyst

Westlake, OH

$79K - $100K/yr

Strategic Data Analysis & Insights: * Lead the design, development, and optimization of complex ... Proficiency in scripting languages such as Python or R. * Expertise in data visualization ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Job Requirements Senior: * BS degree in Admin or Bachelor's degree in a design related field from ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Kiva Design

Data Analyst

Cincinnati, OH

Job Requirements Senior: * BS degree in Admin or Bachelor's degree in a design related field from ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

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All JobsPython Data Analysis JobsSenior Python Data Analysis JobsSenior Python Data Analysis Jobs in Ohio

Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Ohio? The most popular types of Python Data Analysis jobs in Ohio are:
What are popular job titles related to Senior Python Data Analysis jobs in Ohio? For Senior Python Data Analysis jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Ohio look for? The top searched job categories for Senior Python Data Analysis jobs in Ohio are:
What cities in Ohio are hiring for Senior Python Data Analysis jobs? Cities in Ohio with the most Senior Python Data Analysis job openings:
Senior Python Data Analysis jobs near you

Senior Software Engineer (Python / Data Migration / Django) - 1 year contract - Hybrid (local candid

Stafford Technology

Dublin, OH • On-site

$60 - $70/hr

Other

Posted 6 days ago

Job description

Hello! I'm searching for a Senior Software Engineer for a long term (at least through summer of 2027) contract job in Dublin, OH. This role is hybrid with a few days per week in the office. This person will have strong background with Python, Data Migrations, and SaaS. The pay range for this W2 contract job is $60-70 an hour based on experience. Candidates must be local enough to work in office in Dublin, OH 2-3 days per week. To be eligible for this job, candidates must be employable in the United States without sponsorship. If you are qualified and interested in learning more, please apply today! Full job details below...

Senior Software Engineer (Python / Data Migration / SaaS)

We are seeking a Senior Software Engineer to support the modernization of a large-scale SaaS platform serving millions of users globally. This role focuses on data migration, backend development, and system scalability, with opportunities to solve complex challenges around content delivery, metadata management, and distributed systems.

You will design and build Python (Django)-based backend solutions, lead data migration and ETL efforts, and contribute to cloud-based workflows on AWS. The role also includes light frontend work using React/TypeScript to support migration tooling and workflows.

The ideal candidate has 4+ years of software development experience, strong skills in Python, PostgreSQL, and data migration/ETL, and experience working in SaaS or data-intensive environments. This is a great opportunity for someone who enjoys solving complex data problems, improving system performance, and working on meaningful, large-scale applications.

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