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

Senior Data Engineer - Analytics

Columbus, OH · On-site

$102K - $139K/yr

Five years experience developing data platforms using Python, SQL Supervision: N/A Certifications ... Ability to read, analyze and interpret general business periodicals, professional journals ...

Software Engineer - Data

Columbus, OH · On-site

$107K - $128K/yr

Python, SQL, Azure Synapse Analytics, Microsoft Fabric (Lakehouse, Dataflows), Azure Data Factory, Spark, Databricks, and integration with Power BI and Copilot. * Strong understanding of Microsoft ...

Software Engineer - Data

Columbus, OH · On-site

$110K - $132K/yr

Python, SQL, Azure Synapse Analytics, Microsoft Fabric (Lakehouse, Dataflows), Azure Data Factory, Spark, Databricks, and integration with Power BI and Copilot. * Strong understanding of Microsoft ...

This role will collaborate with data stewards, analysts, engineers, and business teams to enhance ... Preferred: * Experience working with ETL tools, APIs and scripting languages (Python, SQL, etc)

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Data Analyst Python Sql information

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$79.8K

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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.

Sr Marketing Data Analyst- Checking & Deposits

Citizens

Columbus, OH

$83K - $103K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

Description

There's no better time to be a Citizen! We are growing and looking to add to our Marketing Analytics team within the Enterprise Data & Analytics organization.

We are seeking a strategic Marketing Senior Data Analyst to collaborate with Checking and Deposit Acquisition Marketing that will drive incremental, high quality household growth by evaluating campaign strategies and customer targeting approaches. The analyst will focus on optimizing marketing performance through data-driven insights that improve efficiency, maximize customer net present value, and support long-term customer growth across channels and markets.

This role offers the opportunity to influence acquisition strategy across one of the bank's key growth businesses, leveraging advanced analytics, experimentation, attribution, customer value frameworks, and marketing measurement methodologies to inform critical marketing investment decisions.

As the lead analytics partner supporting Checking and Deposit Acquisition Marketing, the Senior Marketing Data Analyst serves as a trusted advisor to marketing stakeholders, helping shape acquisition strategies through data-driven insights, performance measurement, and optimization recommendations. Acting as the central point of contact between marketing stakeholders and data science & analytics teams, the analyst evaluates campaign performance, optimizes channel and audience strategies, and delivers actionable recommendations that improve marketing efficiency and business outcomes. The analyst brings end-to-end ownership of analytics deliverables, ensuring insights are actionable, aligned to business priorities, and consistently delivered to stakeholders. This role requires a strong blend of advanced analytics, business acumen, and stakeholder partnership, with the ability to synthesize complex data into clear insights that inform decision-making across acquisition and long-term customer value.

Primary responsibilities include:

  • Partner with marketing stakeholders to understand business goals, acquisition strategies, testing roadmaps, and success metrics, translating them into analytic approaches and measurement frameworks.

  • Compile and assess data for analysis, extracting relevant insights and implementable solutions for our marketing partners.

  • Evaluate marketing effectiveness using experimentation, attribution methodologies, customer lifetime value frameworks, incrementality analysis, and marketing mix modeling techniques to inform future strategy.

  • Proactively identify opportunities to improve marketing efficiency and provide actionable recommendations.

  • Become an expert across marketing channels, customer segments and key markets tracked by Citizens' Enterprise Marketing team to contextualize business activities and priorities.

  • Document and communicate technical/analytic results, insights, and recommendations to both technical and non-technical audiences.

  • Collaborate with data scientists and analysts on our team to brainstorm solutions, understand data availability and tools, provide project updates, and share ideas.

  • Develop executive-ready presentations, dashboards, and visualizations that translate complex analyses into clear business recommendations for stakeholders and senior leaders.

Required Skills/Experience:

  • 5+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent.

  • 3+ years of SQL experience.

  • Strong experience using Python for data analysis, statistical modeling, marketing analytics, and process automation.

  • Experience or exposure to data and analytics in Banking and/or Financial Services industry.

  • Strong written and verbal communication skills required with an ability to successfully communicate analytic results, insights, and resulting business implications to non-technical business partners.

  • Strong sense of ownership, relentless curiosity and self-driven approach to problem solving.

  • Demonstrated ability to play a leadership role in complex analytical projects.

  • Ability to work in a team environment and collaborate with colleagues who have a background in statistics and database development/maintenance.

  • Experience in complex experimental designs, marketing mix models and attribution models preferred.

Preferred Skills/Experience:

  • Marketing Mix Modeling (MMM), attribution, incrementality measurement, or causal inference methodologies.

  • Customer Lifetime Value (CLV), Net Present Value (NPV), or customer profitability analysis.

  • Experimentation and test-and-learn frameworks.

  • Tableau, Power BI, Adobe Analytics, or similar data visualization platforms.

  • Experience working with large-scale customer and marketing datasets.

Education, Certifications and/or Other Professional Credentials:

  • Bachelor's Degree in statistics, economics, computer science, engineering or similar quantitative field required; master's degree preferred.

Hours and Work Schedule:

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on-site, 1 day remote

Pay Transparency

The salary range for this position is $110,000- $135,000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits. 

#LI-Citizens1

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST