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Senior Python Data Analysis Jobs in Ohio (NOW HIRING)

$140 - $180/hr

Senior Python Engineer (Content Engineering) We're looking for a Senior Python Engineer to join our ... We own the content model, the editor backend, data persistence, and the real-time collaboration ...

New

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2) • Advanced proficiency in Python (data processing, scripting, automation) • Strong ...

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 ...

... 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 topics ...

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 ...

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 ...

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 ...

Data Analyst

Dayton, OH · On-site

$28 - $36/hr

Leveraging tools such as Power BI, Microsoft Excel, Power Automate, SQL, Python, R, and other data analysis technologies, you will identify trends, uncover opportunities for process improvement, and ...

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 ...

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 ...

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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Senior Python Data Analysis information

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 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 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 Engineer, Document App (Content Engineering Team)

Doist

On-site

$140 - $180/hr

Other

Posted 3 days ago

New


Job description

About PandaDoc

At PandaDoc, we're building the future of documents. Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative. We're a fast-growing company with a global reach, used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue. We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance. Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.

Senior Python Engineer (Content Engineering)

We're looking for a Senior Python Engineer to join our Content engineering team, responsible for one of the most complex and impactful areas of the PandaDoc platform. We own the content model, the editor backend, data persistence, and the real-time collaboration infrastructure that allows multiple users to edit a document simultaneously with consistency and reliability. Our backend processes a continuous stream of events from the frontend, translating user interactions into consistent, durable state across a distributed fleet of services and a high volume of concurrent sessions.We ship product features and maintain the systems that underpin them. Product mindset and operational excellence are not in tension here: we expect engineers who care equally about moving the product forward for customers and about the long-term health and reliability of what they build.

What you'll work on
  • Design and evolve the backend systems that power real-time collaborative document editing for tens of thousands of concurrent users
  • Own the content model and data persistence layer: schema design, migrations, compatibility, and long-term maintainability as the product grows
  • Build and maintain event-driven pipelines (Kafka, NATS) that process high volumes of frontend interactions and keep document state consistent across services
  • Contribute to the reliability, observability, and operational excellence of a large fleet of Python microservices
  • Ship product features end-to-end, from backend architecture to production monitoring, and care about how they behave after they ship
  • Contribute to our growing investment in AI-powered capabilities, including agentic document workflows
About you – Technical
  • 5+ years of Python development experience in production environments
  • Strong experience with relational databases: SQL, schema design, migrations, query optimization
  • Solid hands-on experience with message queues and event-driven architectures (Kafka, NATS, RabbitMQ or similar)
  • Deep understanding of AsyncIO and concurrent systems
  • Experience building and operating microservice architectures at scale
  • Comfortable reasoning about distributed systems: consistency, ordering, failure modes
  • Understanding of the full development lifecycle, from requirements to deployment to production monitoring
  • Nice to have: experience building or integrating AI agents, LLM-powered workflows, or agentic systems
Mindset & soft skills
  • AI-first: You actively use AI tools in your daily workflow and apply critical thinking to evaluate their output. You see AI as a force multiplier, not a shortcut.
  • High ownership: You understand the full scope of what you're working on, proactively unblock yourself, and know when to escalates. You don't wait to be told there's a problem.
  • Product-mindful and customer-oriented: You care about the end user. You think about the impact of what you're building, not just the correctness of the implementation.
  • Operationally excellent: You care about what you ship after it ships. Reliability, observability, and maintainability are not afterthoughts.
  • Communicative: You write and speak clearly. You can explain a technical decision to a non-technical stakeholder and a product trade-off to an engineer.
  • Collaborative but autonomous: You thrive as part of a team while being fully capable of driving work independently. You ask for help when you need it, and you know when that is.
Language

Communicates effectively in English, both orally and in writing

Our stack
  • Core language: Python
  • Relational + caching: PostgreSQL, Redis
  • Messaging & events: Kafka, NATS
  • Async programming: AsyncIO throughout
  • Infrastructure: Docker, Kubernetes, AWS
  • Observability: Grafana stack (Loki, Tempo, Mimir)
What We Offer
  • Global & Flexible Work: We're a global, remote-first company, but we welcome you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv to connect with colleagues whenever it suits you.
  • Ownership & Growth: Work on a stable yet growing SaaS product, offering an agile environment, significant ownership, and a clear path for professional development within the Platform Engineering domain.
  • Culture & Balance: Enjoy an honest, open culture that values constructive feedback and promotes a strong work-life balance within a supportive, distributed team.

Compensation: Competitive compensation package and flexible contract arrangements tailored to your location and experience (If you are located in Poland the salary range is 275000 - 413000 PLN gross monthly)

Company Overview

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.

Company Culture

We're known for our work-life balance, kind co-workers, and creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team. Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. Check out our LinkedIn to learn more.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

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