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Senior Python Data Analysis Jobs in Columbus Grove, OH

drive for MPC

Senior/Lead Business Analyst

Findlay, OH · On-site

$95 - $135/hr

Working knowledge of Power Query, Power BI, Python, or other data-transformation and automation ... Data Analysis:** Identifying, evaluating, interpreting and organizing data so that it can be used ...

New

Danfoss GmbH

Senior Manager, Plant Controlling

Van Wert, OH · On-site

$125 - $160/hr

On-site Senior Manager, Plant Controlling Req ID: 50997 Job Location: Van Wert, OH, US Employment ... data, analysis, and reporting. * Strong communication and presentation skills, with the ability to ...

Whirlpool

Senior Industrial Engineer

Findlay, OH · On-site

$40.25 - $55/hr

The Senior Industrial Engineer will play a key leadership role in driving productivity, optimizing ... Strong data analytical skills * Thorough understanding of Lean manufacturing, with an emphasis on ...

Whirlpool Corporation

Senior Industrial Engineer

Findlay, OH · On-site

$40.25 - $55/hr

The Senior Industrial Engineer will play a key leadership role in driving productivity, optimizing ... Strong data analytical skills * Thorough understanding of Lean manufacturing, with an emphasis on ...

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All JobsPython Data Analysis JobsSenior Python Data Analysis JobsSenior Python Data Analysis Jobs in Columbus Grove, OH

Senior Python Data Analysis information

See Columbus Grove, OH salary details

$50.4K

$130.2K

$178.8K

How much do senior python data analysis jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior python data analysis in Columbus Grove, OH is $130,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $149,900.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a senior Python data analyst?

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 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 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 job categories do people searching Senior Python Data Analysis jobs in Columbus Grove, OH look for?

The top searched job categories for Senior Python Data Analysis jobs in Columbus Grove, OH are:

What cities near Columbus Grove, OH are hiring for Senior Python Data Analysis jobs?

Cities near Columbus Grove, OH with the most Senior Python Data Analysis job openings:

Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in Columbus Grove, OH as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,197 per year, or $62.6 per hour.

Infra Lifecycle & Asset Management Analyst

Kforce Technology Staffing

Findlay, OH • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

RESPONSIBILITIES:
Kforce has a client that is seeking an Infrastructure Lifecycle & Asset Management Analyst in Findlay, OH.
Overview:
We are seeking an Infrastructure Lifecycle & Asset Management Analyst to support enterprise infrastructure platforms by driving lifecycle management, asset governance, inventory accuracy, reporting, and operational excellence initiatives. This role will partner with infrastructure engineering, operations, cybersecurity, architecture, and product teams to develop governance frameworks, improve asset visibility, reduce lifecycle risk, and implement automation that enhances infrastructure management. The ideal candidate brings hands-on infrastructure experience, strong analytical skills, and expertise in asset management, CMDBs, reporting, and process improvement within large enterprise environments.
REQUIREMENTS:
* Infrastructure Lifecycle Management: Hardware/software lifecycle planning, refresh strategies, supportability tracking, and risk management
* Asset Management & CMDB Governance: Asset inventory management, CMDB administration, data quality, ownership tracking, and reconciliation processes
* Enterprise Infrastructure Expertise: Strong knowledge of servers, virtualization, networking, Windows Server, Active Directory, storage, backup, and endpoint management technologies
* Reporting, Analytics & Dashboard Development: Power BI, KPI development, operational reporting, executive scorecards, and data analysis
* Automation & Tool Integration: PowerShell, Python, SQL, workflow automation, and integration of infrastructure management platforms
* Stakeholder Management & Process Improvement: Cross-functional collaboration, governance framework development, documentation, facilitation, and operational process design
* Preferred Tools: ServiceNow, Power BI, Power Automate, Axonius, SCCM/MECM, Lansweeper, VMware Aria, SolarWinds
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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