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Senior Python Data Analysis Jobs in Ohio (NOW HIRING)

Python Developer

Cleveland, OH · On-site

$48.75 - $67.25/hr

We are seeking a highly skilled Senior Python Developer to join our team. The ideal candidate will ... Implement data processing pipelines, automation scripts, and backend services. * Participate in ...

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Our platform turns fragmented data into actionable insights, with privacy at its core. What You'll Build: * Scalable backend services in Python (FastAPI) and/or Node.js * Secure data ingestion ...

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... Experience with programming or scripting languages such as Python or R * Experience mentoring or ...

Job Title: Senior Applied Data Scientist Job Location: 3825 Edwards Road, #600, Cincinnati, OH ... Python; * Data Interpretation and Insight Analysis; performing data interpretation, insight ...

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... Experience with programming or scripting languages such as Python or R * Experience mentoring or ...

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... Python or R • Experience mentoring or supporting the development of junior analysts Work ...

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 ...

Data Modeler

Columbus, OH · On-site

$53 - $68.50/hr

Python, Data Concepts & Data Modelling, Erwin Collaboration Effectiveness demonstrated skill ... Structured execution of data analysis, data profiling, and data mapping tasks. Ensures referential ...

... Python, data visualization tools * Excellent written and verbal communication skills Preferred skills: Powerbi, Databricks, Snowflake, NLP, Text mining, Tableau, Time series analysis Please ...

Sr. Data Analyst (SQL)

Columbus, OH · On-site

$80.40K - $101.40K/yr

Write data analysis SQL queries to profile and document metadata to analyze data and augment key ... Exposure Programming language - Python good to have * Exposure to Data Science goo to have

Job Title: Senior Applied Data Scientist Job Location: 3825 Edwards Road, #600, Cincinnati, OH ... Python; * Data Interpretation and Insight Analysis; performing data interpretation, insight ...

... 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 ...

Sr Business Data Analyst

Lockbourne, 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 ...

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 ...

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. Data Analyst

Columbus, OH · On-site

$83.10K - $104.80K/yr

Conduct ad hoc analysis to investigate and resolve program issues, providing critical support ... Advanced skills in SQL and Python, with experience in database management. * Proficiency in data ...

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

Python, Data Engineer, AWS

Purple Drive Technologies

Columbus, OH • On-site

$110.60K - $132.80K/yr

Full-time

Posted 25 days ago


Job description

Overview:
Python, Data Engineer, AWS
Key responsibilities
  • Develop and maintain data pipelines Build, test, and maintain ETL (Extract, Transform, Load) processes to move and transform data.
  • Design and manage data architecture Construct and manage data infrastructure, including data warehouses, data lakes, and databases.
  • Automate data processes Use Python to automate tasks and build data processing applications.
  • Integrate data sources Connect internal and external data sources and APIs, and ensure system compatibility.
  • Ensure data quality and security Implement data quality checks, security controls, and access management policies.
  • Collaborate with stakeholders Work with data scientists, analysts, and other teams to understand requirements and deliver solutions.
  • Optimize systems Monitor system performance, troubleshoot issues, and implement optimizations for reliability and efficiency.

Required skills and qualifications
  • Programming Proficiency in Python is a must. SQL and other languages like Java or Scala are also valuable.
  • Databases Strong knowledge of database management systems (relational and NoSQL) and data modeling.
  • Big Data Technologies Experience with big data frameworks such as Apache Spark and Hadoop.
  • Cloud Platforms Familiarity with cloud services is often required, such as AWS, GCP, or Azure.
  • Version Control Experience with version control systems like Git.
  • Problem-Solving Strong analytical and problem-solving skills.
  • Communication Excellent communication skills to collaborate with technical and non-technical teams.
  • Education A bachelors degree in Computer Science, Engineering, or a related field is typically required.