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Data Analyst Python Sql Jobs in Ohio (NOW HIRING)

Turn5, Inc.

Data Analyst

Cincinnati, OH · On-site

As a part of the Product Manage Team, the Data Analyst will be responsible for leveraging MS SQL Server and Tableau to create, update, maintain, and analyze reports for various business units and/or ...

Turn5, Inc.

Data Analyst

Cincinnati, OH · On-site

As a part of the Product Manage Team, the Data Analyst will be responsible for leveraging MS SQL Server and Tableau to create, update, maintain, and analyze reports for various business units and/or ...

Bryan Equipment Sales, Inc.

Be Seen First

Business/Data Analyst

Loveland, OH · On-site

SKILLS & COMPETENCIES REQUIRED Technical Skills • Advanced proficiency writing SQL queries for ... Python with pandas, or similar). • Proficiency in Microsoft Excel for data manipulation and ...

Kimball Midwest

E-Commerce Data Analyst

Columbus, OH · On-site

Analyze marketing, customer, and sales data to identify trends, anomalies, opportunities, and areas ... SQL and Microsoft Excel. * Experience with statistical programming languages such as R or Python.

DPDHL

Business Data Analyst II

Westerville, OH

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DHL

Business Data Analyst II

Westerville, OH · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Keybank

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 ...

TQL

Process Improvement Data Analyst II

Cincinnati, OH · On-site

$63K - $78K/yr

Build and maintain scalable datasets and data models using SQL and BI tools* Define and track key ... Familiarity with other data analysis tools and programming languages (e.g., Python, R) is ...

KeyBank

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 ...

Ferroglobe

Business Data Analyst

Marietta, OH · On-site

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 ...

FirstEnergy

Senior Data Analyst

Akron, OH

$111K - $157K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

FirstEnergy Corp.

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

Further

Data Science Analyst

Cleveland, OH · On-site

... R and/or Python for data manipulation and statistical analysis. • Deep understanding of ... Preferred : • Proficiency in SQL for querying data across various cloud warehouses (BigQuery ...

Mindlance

Data Analyst

Columbus, OH · On-site

Experience with Data Analytics and Manipulation Nice to have - Jira SQL IAM Key Responsibilities Data Analysis & Insights Analyze large, complex identity and access datasets to identify trends ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Ohio

Data Analyst Python Sql information

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Ohio? For Data Analyst Python Sql jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Ohio look for? The top searched job categories for Data Analyst Python Sql jobs in Ohio are:
What cities in Ohio are hiring for Data Analyst Python Sql jobs? Cities in Ohio with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Ohio as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Analyst

Data Analyst

Turn5, Inc.

Cincinnati, OH • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Turn5 rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Overview

Turn5 is one of the largest and fastest growing e-commerce retailers in the Greater Philadelphia area.  Best known for our award-winning, e-commerce platforms, AmericanMuscle.com, ExtremeTerrain.com, and AmericanTrucks.com, we've been engaging muscle car, truck, and off-road enthusiasts with exceptional products, services, and experiences since 2004. With the acquisition of Eckler's in 2022, a pioneer in classic car restoration & modification for over 60 years, Turn5's catalog of brands has expanded to now offer aftermarket automotive products for vehicles as classic as the Model T.

Our purpose, however, extends beyond selling car parts. We have a commitment to creating meaningful customer experiences at every step of their journey. Whether it's supplying a unique product that customizes the look and feel of their ride, providing thousands of educational videos for the DIYer or leveraging user generated content to inspire even the most experienced owner, we are obsessed with ensuring we reach as many like-minded gearheads across the globe.

To continue our growth path, we need a Remote Data Analyst to leverage analytics technology to create, update, and analyze reports for various business units and processes.

As a part of the Product Manage Team, the Data Analyst will be responsible for leveraging MS SQL Server and Tableau to create, update, maintain, and analyze reports for various business units and/or processes throughout Turn5.  This position will have a focus on sales, marketing, and product analysis.  The Data Analyst is primarily responsible for scoping requirements for reports, developing metrics and dashboards, and collaborating with representatives from across Turn5's departments to contribute to analytics and data projects.

Year 1 is going to be about:

  • Update, maintain, and analyze all product management and merchandising reports and other department reports as needed
  • Develop reports and dashboards using data visualization tools, such as Tableau, and data querying languages such as SQL and TSQL.
  • Triage, prioritize, manage, and resolve any data related requests and issues generated to the Product Management department.
  • Discover opportunities for improvement within reporting and product management department processes and act to provide further insight or improvements.
  • Consistently and reliably work with the IT department to maintain databases and keep data clean.
  • Become a liaison between product management requests and the IT department, making sure all requirements from an IT perspective are met

We can't skip over some of the specific skills and experience we know are a "must" to be successful. So, we need you to have:

  • 1+ year(s) of experience working with large data sets in MS SQL Server Environments
  • BA/BS in IT, marketing, e-commerce, economics, mathematics, or other related degrees
  • Excellent analytical skills: including being able to quality-assure, clean, and analyze large data sets in order to draw conclusions and develop recommendations
  • Proficiency in MS SQL Server
  • Proficiency in Excel
  • Proficiency in Tableau
  • Proficiency in Google Analytics
  • Oral and written communication, interpersonal skills
  • Ability to quality-assure, clean, and analyze large data sets
  • Understanding of e-commerce marketing channels
  • Proficiency in Access a plus but not a requirement

#CORP

Employment Type: OTHER

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Hours and flexibility

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