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Intern Python Data Analyst Jobs in Ohio (NOW HIRING)

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Experience coding to support writing scripts with tools, such as Java and Python * Experience using ... data analysis or visualization, OR 10+ years of experience in data analysis or visualization in ...

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc) * Knowledge of Big Data landscape as ...

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Help drive the use of data warehouses for insights and predictive analytics. Qualifications include:

... 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 ...

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Help drive the use of data warehouses for insights and predictive analytics. Qualifications include:

Experience in programming languages such as Python, R, and SQL. * Proficiency with data ... Familiarity with ETL tools and data analysis techniques. * Solid understanding of statistics and ...

Senior Data Analyst

Dublin, OH

$81K - $102K/yr

Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based version control for BI asset deployment preferred. * Power BI Premium / Fabric capacity management, workspace ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based version control for BI asset deployment preferred. * Power BI Premium / Fabric capacity management, workspace ...

Senior Data Analyst

Brooklyn, OH · On-site

$80K - $101K/yr

Analyze large and small datasets to identify trends, gaps, and opportunities for improvement ... Training or certification in SQL, Python, or cloud platforms (preferred) * Familiarity with data ...

Senior Data Analyst

Brooklyn, OH

$80K - $101K/yr

Analyze large and small datasets to identify trends, gaps, and opportunities for improvement ... Training or certification in SQL, Python, or cloud platforms (preferred) * Familiarity with data ...

... Data Analyst for their Columbus, OH location. The role involves developing advanced analytics ... such as R or Python. • Experience developing dashboards and visualizations using business ...

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Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

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

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
What are the most commonly searched types of Python Data Analyst jobs in Ohio? The most popular types of Python Data Analyst jobs in Ohio are:
What cities in Ohio are hiring for Intern Python Data Analyst jobs? Cities in Ohio with the most Intern Python Data Analyst job openings:

Data Analyst

centralins

Van Wert, OH • Hybrid

Other

Medical, Retirement

Posted 7 days ago


Job description

Location: Van Wert, OH; Dublin, OH
Work Model: Hybrid 
Position type: Full time - salary 

We’re a team of employees passionate about delivering best-in-class customer service and driving innovation in claims management. Integrity, relationships, and excellence are at the heart of everything we do.

Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do!

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you will partner closely across IT, Finance, Actuarial, and Analytics teams to ensure data accuracy, integrity, and reliability while helping the organization meet critical reporting requirements and strategic goals.

This is an opportunity for a curious, detailoriented professional who thrives on problem solving and continuous improvement. You will leverage advanced tools and analytical techniques to identify trends, surface insights, and influence data solutions, all while contributing to a culture that values data quality, collaboration, and innovation. 


Key Responsibilities of the Role

  • Prepare and submit regulatory reports accurately and on time
  • Ensure adherence to & reinforcement of delivery best practices
  • Actively engaged in the design and implementation of repeatable processes
  • Champion data quality, integrity, and reliability throughout the department by designing and promoting best practices
  • Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise
  • Analyze and validate financial data; identify trends, discrepancies, and anomalies
  • Track regulatory updates and adapt reporting processes accordingly
  • Maintain documentation of processes and support internal/external audits
  • Identify improvement opportunities in reporting systems and workflows
  • Assume department responsibility as the Data Steward ensuring the fitness of data elements
  • Collaborate regularly with IT, Analytics, Actuarial, Finance, and other Business units to ensure data is accurate
  • Display critical thinking and evaluation when researching and responding to inquiries and referrals
  • Develop and utilize BI solutions effectively (reports, analytics, data pulls, insights, etc.) 
  • Meet with stakeholders to understand needs and provide insights that help meet profit, growth, and expense goals
  • Guide & influence strategic data solutions


Required Qualifications

  • Bachelor’s degree in Computer Science or related field and 2 years of related experience
  • Or 4 years of related experience

Knowledge, Skills, and Abilities

  • Previous regulatory reporting or insurance experience
  • Working knowledge of Azure DevOps or other code repositories
  • Experience with object-oriented programming languages, such as Python
  • Advanced Alteryx expertise
  • Advanced SQL expertise
  • Data Modeling experience
  • Strong analytical and problem-solving skills
  • Ability to set priorities and plans to meet business goals and objectives
  • Ability to shift & balance strategic, high-level thinking with attention to detail
  • Ability to lead, motivate & influence without having formal authority
  • Ability to act as a thought leader with a focus on innovative & high-quality solutions
  • Ability to work both independently and in a team environment with internal /external customers
  • Ability to understand, design & implement end-to-end BI workflows
  • Strong organizational, planning & problem-solving skills
  • Strong communication & interpersonal skills
  • Ability to understand Central Insurance’s policies and processes


Total Rewards

Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements. Base pay is one component of a comprehensive total rewards package designed to support employees’ financial, health, career, and retirement objectives. Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits