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Sql Python Excel Power Bi Tableau Jobs in Columbus, OH

Lower LLC

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

Write andmaintainproduction-quality SQL, Python scripts, and transformation workflows. * Partner ... Comfort working with BI and analytics tools such as Looker, Domo, Tableau, Power BI , or similar ...

Chipotle

Database Administrator

Columbus, OH

$87K - $120K/yr

Experience with SQL Server or Oracle * Experience with CI/CD for data pipelines (Terraform) * Knowledge of scripting language (Python, PowerShell, etc.) * Knowledge of BI tools (Tableau, Power BI ...

React Health

Business Intelligence Analyst

Dublin, OH · On-site

$75K - $95K/yr

... Microsoft Power BI, Tableau, etc.)and proficiency in SQL including complex queries, stored ... Working proficiency in Python or R for data manipulation, automation, and analysis (e.g., pandas ...

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

... Python, Data Robot, and SAS. * Experience using BI Tools; preferably Tableau * Experience using SQL ... IDMC / Power Center - Basic * R - Optional Thanks & Regards, Technical Recruiter Anjali Sonkar ...

EASE Logistics

Senior Data Analyst

Dublin, OH

$81K - $102K/yr

Design, build, and maintain Power BI dashboards and reports for operations, finance, sales, and ... Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Design, build, and maintain Power BI dashboards and reports for operations, finance, sales, and ... Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and ...

NiSource

Senior Data and Analytics Developer

Columbus, OH · On-site

$96K - $144K/yr

... SQL, Python) * 3+ years of experience with data visualization and analysis software (Tableau, Excel ... OH #NowHiring #BI #BusinessIntelligence #DataAnalysis #DataSci #DataAnalyst #PowerBI ...

Qnity

People Analytics Specialist

Delaware, OH · On-site

Use Python to automate data cleaning, validation, and reporting processes. * Support periodic HR ... Experience with data visualization tools (e.g., Power BI, Tableau). * Exposure to global HR data or ...

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All JobsSql Python Excel Power Bi Tableau JobsSql Python Excel Power Bi Tableau Jobs in Columbus, OH

Sql Python Excel Power Bi Tableau information

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How much do sql python excel power bi tableau jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for sql python excel power bi tableau in Columbus, OH is $54.32, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $64.09 per hour, depending on experience, location, and employer.

What is the difference between Sql Python Excel Power Bi Tableau vs Data Analyst?

AspectSql Python Excel Power Bi TableauData Analyst
Required SkillsSQL, Python, Excel, Power BI, TableauData analysis, SQL, Excel, visualization tools
Work EnvironmentBusiness intelligence, data visualization, reportingData interpretation, reporting, business insights
Industry UsageTech, finance, marketing, consultingFinance, healthcare, retail, marketing

Sql Python Excel Power Bi Tableau professionals focus on data extraction, analysis, and visualization using specific tools. Data Analysts interpret data to provide insights, often using similar skills but with a broader focus on business decision-making. While both roles require SQL and Excel, the former emphasizes technical data manipulation and visualization tools, whereas Data Analysts focus on understanding data trends and presenting actionable insights.

What is a sql python excel power bi tableau job?

Jobs that require skills in SQL, Python, Excel, Power BI, and Tableau typically involve working with data analysis, data visualization, and business intelligence. Professionals in these roles use SQL to manage and query databases, Python for data processing and automation, Excel for organizing and analyzing data, and Power BI or Tableau to create interactive dashboards and reports. These roles are common in industries like finance, healthcare, marketing, and technology, where data-driven decision-making is essential. Common job titles include Data Analyst, Business Intelligence Analyst, and Data Scientist.

Is Power BI still in demand in 2026?

Power BI remains a highly in-demand skill for data analysts and business intelligence professionals in 2026, as organizations continue to prioritize data visualization and reporting tools. Proficiency in Power BI, along with skills in SQL, Python, and Excel, enhances job prospects in data-driven roles, with demand expected to grow as companies adopt advanced analytics and automation solutions.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in SQL and Python for data manipulation, and a solid understanding of Excel for data organization and calculations. Familiarity with data visualization tools like Power BI and Tableau, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, are highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights for stakeholders. These skills are crucial for extracting meaningful information from data, driving business decisions, and presenting results clearly to both technical and non-technical audiences.

How do professionals using SQL, Python, Excel, Power BI, and Tableau typically collaborate within data teams?

Professionals skilled in SQL, Python, Excel, Power BI, and Tableau often work closely with data analysts, data engineers, and business stakeholders. They collaborate by gathering requirements, extracting and transforming data (using SQL and Python), and then visualizing insights (with Power BI and Tableau) or conducting ad-hoc analysis in Excel. Regular communication and sharing of dashboards or reports are common, as is peer review of data models and code. This collaborative environment helps ensure accurate, actionable insights for the organization.
What are popular job titles related to Sql Python Excel Power Bi Tableau jobs in Columbus, OH? For Sql Python Excel Power Bi Tableau jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Columbus, OH look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Sql Python Excel Power Bi Tableau jobs? Cities near Columbus, OH with the most Sql Python Excel Power Bi Tableau job openings:
Sql Python Excel Power Bi Tableau jobs near you
Infographic showing various Sql Python Excel Power Bi Tableau job openings in Columbus, OH as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $112,991 per year, or $54.3 per hour.

Senior Data Engineer

Lower LLC

Columbus, OH

$102K - $139K/yr

Full-time

Re-posted 1 hour ago

Job description

Here at Lower, we believe homeownership is the key to building wealth, and we're making it easier and more accessible than ever. As a mission-driven fintech, we simplify the home-buying process through cutting-edge technology and a seamless customer experience.

With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9), we're a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger.

Job Description:

Lower.com is looking for aData Engineer IIto join our Data & Analytics team. This is an exciting opportunity to work on a team that supports stakeholders across the entire company and has access to the full breadth of Lower's data ecosystem.

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across the business. You will work closely with analysts, data engineers, business leaders, and technical stakeholders to create reliable data pipelines,maintainand enhance our data warehouse, and build scalable data products that help the company move faster and make better decisions.

Our current stack includesSnowflake,dbt, Looker, Domo, and a variety of source-system connectors, native pipelines, APIs, data shares, SFTP-based integrations, and Python-based workflows. We are also actively exploring how modern AI development tools and agentic workflows - including tools likeClaude Code, Cursor, AI-assisted development, and data-focused automation frameworks- can help us build faster, improve quality, and create better internal data products.

This isa great rolefor someone who enjoys working in a dynamic, high-growth environment, likes solving data problems, and is excited by the opportunity to use modern tooling, including AI-assisted development, to improve how datateamswork.

What you'll do:

  • Build,maintain, andoptimizedata pipelines across a variety of source systems.

  • Support and improve our core data warehouse infrastructure, primarily inSnowflake, with some legacy warehouse environments such asRedshift.

  • Develop andmaintaintransformation logic, models, and reusable data assets using tools such asdbt.

  • Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making.

  • Support BI andreportingworkflows acrossLookerandDomo, partnering with analysts and business teams to ensure trusted, consistent metrics.

  • Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections, APIs, and native integrations.

  • Write andmaintainproduction-quality SQL, Python scripts, and transformation workflows.

  • Partner with analysts and business stakeholders to understand data needs and translate them into reliable, scalable data solutions.

  • Help ensure our data isaccurate,timely, well-documented, and trusted by the teams that rely on it.

  • Explore and adopt AI-assisted engineering tools such asClaude Code, Cursor, and other agentic AI frameworksto improve development velocity, documentation, testing, data quality, and operational efficiency.

  • Support warehouse migrations, platform consolidation, and modernization efforts as the company continues to scale.

  • Collaborate with cross-functional teams across marketing, sales, operations, finance, product, technology, and mortgage operations.

  • Contribute to data quality monitoring, observability, governance, and process improvements.

Who you are:

  • 3-5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role.

  • Strong SQL skills and experience working with large, complex datasets.

  • Experience building andmaintainingproduction data pipelines.

  • Experience with cloud data warehouses such asSnowflake,Redshift,BigQuery, or similar platforms.

  • Experience withdbtor similar data transformation frameworks.

  • Experience with Python or another scripting language used for data processing, automation, or pipeline orchestration.

  • Familiarity with data integration patterns, including APIs, SFTP transfers, file-based ingestion, third-party connectors, data shares, and native platform integrations.

  • Comfort working with BI and analytics tools such asLooker, Domo, Tableau, Power BI, or similar platforms.

  • Interest in using modern AI tools to improve data engineering workflows, including AI-assisted coding, documentation, testing, code review, and automation.

  • Comfort working with messy, real-world business data and turning it into clean, trustworthy, usable data assets.

  • Strong problem-solving skills and attention to detail.

  • Ability to work with both technical and non-technical stakeholders.

  • A collaborative mindset and a desire to build reliable systems that help the broader company succeed.

Preferred Experience

  • Experience in the mortgage, lending, financial services, real estate, or fintech industries.

  • Hands-on experience withSnowflake,dbt, Looker, and/or Domo.

  • Experience using AI-assisted development tools such asClaude Code, Cursor, GitHub Copilot, or similar tools.

  • Experience exploring or building with AI agents, workflow automation, LLM-powered internal tools, or agentic development frameworks.

  • Experience with orchestration tools, cloud platforms, CI/CD workflows, or modern data stack tooling.

  • Familiarity with data governance, data quality testing, observability, and documentation best practices.

  • Experience supporting executive reporting, operational analytics, marketing analytics, mortgage operations, or sales funnel reporting.

Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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