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Senior Python Data Analysis Jobs in Ohio (NOW HIRING)

Proven coding and visualization skills (e.g., SAS, SQL, Python, Snowflake, Tableau). * Experience ... Expertise in innovatively resolving complex or ambiguous data analysis requests. * Adept at ...

Performs advanced analytics methods to extract value from business data. Performs large-scale ... Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g., AWS ...

Performs advanced analytics methods to extract value from business data. * Performs large-scale ... Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ...

Our Enterprise Data and Analytics team is growing, and we're seeking an outstanding Senior Data ... Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ...

Senior Data Scientist

Columbus, OH · On-site

$70K - $140K/yr

Our Enterprise Data and Analytics team is growing, and we're seeking an outstanding Senior Data ... Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ...

Our Enterprise Data and Analytics team is growing, and we're seeking an outstanding Senior Data ... Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ...

Genesis10 is currently seeking a Senior Data Scientist for a hybrid position with a Regional ... analytics or data science • Experience with R, RStudio, Python, SAS, SQL, NoSQL • Direct ...

Performs advanced analytics methods to extract value from business data. Performs large-scale ... Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g., AWS ...

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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 cities in Ohio are hiring for Senior Python Data Analysis jobs? Cities in Ohio with the most Senior Python Data Analysis job openings:
Data Analyst Senior or Lead

Data Analyst Senior or Lead

Progressive

Cleveland, OH • Remote

$81K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Progressive Insurance rating

8.7

Company rating: 8.7 out of 10

Based on 580 frontline employees who took The Breakroom Quiz

63rd of 261 rated insurance


Job description

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress.
As a senior or lead data analyst within the Internal Audit organization, you’ll prepare complex, business-specific analyses using statistical, analytical, and data modeling techniques. You’ll identify trends, assess risk, and deliver actionable insights that support the organization’s objectives. You’ll apply advanced analytics and AI-assisted techniques, including anomaly detection, trend analysis, automated compliance reporting, and pattern recognition. These methods enhance audit coverage, support continuous monitoring, and inform risk-based decision-making. You’ll partner closely with auditors, Internal Audit leadership, and enterprise data teams to design and execute of SOX control testing through population-based analysis, data validation, and repeatable testing logic. Working independently, you’ll communicate with technical and non-technical audiences, mentor junior analysts, and support the evolution of our data strategy across business areas.
Location: This is a hybrid role requiring you to be in-office on Tuesdays at our Mayfield Village office, located at 300 N. Commons Blvd., Mayfield Village, OH 44143, with occasional additional in-office days as needed based on business needs.
Must-have qualifications
  • A minimum of six years of analytical work experience.
  • {OR} Bachelor's degree or higher and a minimum of five years of analytical work experience.
  • {OR} Bachelor's degree or higher in a quantitative field of study and a minimum of three years analytical work experience.
Preferred skills
  • Proven coding and visualization skills (e.g., SAS, SQL, Python, Snowflake, Tableau).
  • Experience working with large transactional datasets.
  • Ability to learn quickly, share information, and work together in a team-oriented environment.
  • Expertise in innovatively resolving complex or ambiguous data analysis requests.
  • Adept at communicating technical and analytical results in a way that is easily understood by non-technical partners.
Compensation
  • $81,400 - $131,200/year depending on position level and experience
  • Gainshare annual cash incentive payment up to 30% of your eligible earnings based on company performance
Benefits
  • 401(k) with dollar-for-dollar company match up to 6%
  • Medical, dental & vision, including free preventative care
  • Wellness & mental health programs
  • Health care flexible spending accounts, health savings accounts, & life insurance
  • Paid time off, including volunteer time off
  • Paid & unpaid sick leave where applicable, as well as short & long-term disability
  • Parental & family leave; military leave & pay
  • Diverse, inclusive & welcoming culture with Employee Resource Groups
  • Career development & tuition assistance
  • Onsite gym & healthcare at large locations
Applicants must be authorized to work for any employer in the U.S. without the need or potential need, of current or future sponsorship for employment. Progressive does not hire candidates with (e.g., F-1 CPT, OPT, or STEM OPT, H-1B, O-1, E-3, TN) statuses for this role.
Energage recognizes Progressive as a 2025 Top Workplace for: Innovation, Purposes & Values, Work-Life Flexibility, Compensation & Benefits, and Leadership.
Equal Opportunity Employer
For ideas about how you might be able to protect yourself from job scams, visit our scam-awareness page at https://careers.progressive.com/pages/how-we-hire-faq-job-scams/
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