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Data Analyst Python Sql Jobs in Columbus, OH (NOW HIRING)

... SQL statements required Experience with R or SAS required. Experience with Oracle or Teradata database desired Prior experience in a data analytics role strongly preferred Knowledge of statistical ...

Write complex SQL queries to extract, cleanse, analyze, and validate data from multiple systems and databases. * Analyze distribution, inventory, logistics, fulfillment, transportation, and customer ...

Sr. Data Analyst

Hilliard, OH · On-site

$85K - $110K/yr

Write complex SQL queries to extract, cleanse, analyze, and validate data from multiple systems and databases. * Analyze distribution, inventory, logistics, fulfillment, transportation, and customer ...

SQL DBA

Columbus, OH · On-site

$48.25 - $60.25/hr

Automate database administration tasks using scripts (Shell, Python, SQL). Perform database ... Configure and manage Oracle Real Application Clusters (RAC), Data Guard, and RMAN. Implement and ...

Digital Analyst Internships

Columbus, OH · On-site

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Sr.Data Analyst Lead

Columbus, OH

$83K - $104K/yr

... SAS, SQL, Teradata, Oracle, UNIX, and MS Office preferred 12-15 years of experience working as data analyst Strong Analytical, Process, Problem Solving skills and Detailed oriented Excellent ...

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Data Analyst Python Sql information

See Columbus, OH salary details

$32.8K

$79.8K

$131.4K

How much do data analyst python sql jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analyst python sql in Columbus, OH is $79,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

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 is a data analyst Python SQL?

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.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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.

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 Columbus, OH?

For Data Analyst Python Sql jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Columbus, OH look for?

The top searched job categories for Data Analyst Python Sql jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Data Analyst Python Sql jobs?

Cities near Columbus, OH with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $79,822 per year, or $38.4 per hour.

Senior Business Data Analyst - Ad Operations

Arity

Columbus, OH

$83K - $104K/yr

Full-time

Re-posted 22 days ago


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

Arity is a part of the Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers’ evolving needs. We collect and analyze enormous amounts of data in order to provide cutting-edge solutions to companies invested in transportation.
The Team
Advertising data analytics team empowers the intelligence and efficiency of Arity Marketing Platform, which enables marketers to find their best customers wherever they are in their journey. Our goal is to empower marketers to reach prospects and display relevant messaging based on how, when, and where they drive. The team is responsible for optimizing the in-house marketing platform for advertisers and publishers, as well as our revenue, throughout all funnels. To achieve this, not only do we need to look for inefficiencies on the platform including individual campaigns, but also how to grow and scale the platform to gain more revenue. This means we need to find a cost-effective way to rapidly deploy, test and iterate algorithms on our platform. This team is also fully integrated within a cross-functional scrum structure including product owners, software engineers, account management/AdOps team, and other talents to collaborate with to achieve the same business goals
The Role
As a Senior Data Analyst for ad operations, you are responsible for monitoring and optimizing our digital advertising campaigns on Arity marketing platform. You will closely work with the account management/AdOps team to understand the campaign goals and dig into the data to look for insights to make recommendation to optimize the campaign. You will design A/B testing to measure the effectiveness of the optimization. You also need to work with data scientists to provide operational insights for building automated solutions using machine learning and AI algorithms so that you can leverage them in running the campaign wherever necessary.

Key Responsibilities

Your day-to-day looks like:

  • Monitor and optimize programmatic campaigns using real-time and historical data signals

  • Diagnose performance issues across supply, demand, and delivery systems; recommend targeted interventions

  • Design and evaluate A/B and multivariate experiments, integrating sensor-based features into test frameworks

  • Collaborate cross-functionally with AdOps, Product, and Data Science to operationalize optimization strategies at scale

  • Contribute to the development of automated decisioning systems for campaign management (e.g., budget allocation, bidding adjustments)

  • Partner with data scientists to translate business problems into ML-driven solutions (e.g., propensity models, bidding optimization, segmentation)

  • Drive the evolution from manual campaign management to automated, intelligence-driven optimization systems

Required Qualifications

  • Bachelor’s degree

  • 4+ years of experience in data analysis, campaign optimization, or programmatic advertising

  • Strong proficiency in SQL and Python for large-scale data analysis

  • Solid understanding of programmatic advertising ecosystem and KPIs (CPM, CPC, win rate, CPA, ROAS)

  • Experience designing and analyzing experiments (A/B testing, causal inference methods)

  • Strong problem-solving and analytical thinking skills with a focus on driving measurable outcomes

  • Ability to communicate insights effectively to both technical and non-technical stakeholders 

Preferred Qualifications

  • Familiarity with machine learning concepts and collaborating on production ML systems

  • Experience with cloud data platforms (e.g., BigQuery) and data pipeline development

  • Experience building semantic layers or analytical models for scalable reporting

  • Experience leveraging AI-powered coding assistants to enhance productivity

At Arity, great things happen when our people work together.

That’s why when you join our team, we make sure it isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Skills

Data Analytics, Digital Advertising, Programmatic Advertising, Python (Programming Language), Structured Query Language (SQL)

Compensation

Compensation offered for this role is 75,100.00 - 126,325.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.