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Business Analyst Sql R Python Jobs in Houston, TX

SQL knowledge and ability to write queries to mine and analyze data; * Ability to write SQL stored procedures and functions; * Progress DB knowledge is a plus; * Analytical and quantitative skills ...

Senior Business Analyst

Houston, TX · On-site +1

$88.30K - $114.10K/yr

Advanced knowledge in analytical software such as Microsoft Excel or SQL and other requirement ... Strong analytical and business process re-engineering skills * Strong executive presence and ...

Senior Business Analyst

Houston, TX · On-site

$95K - $120K/yr

Familiarity with SQL, data analysis, and reporting tools is preferred. EDUCATION & TRAINING: Bachelor's degree in Business Administration, Information Systems, or a related field MINIMUM REQUIREMENTS:

Gather, analyze, and document business requirements and operational process flows related to ... Develop and execute scripts using database tools such as Oracle, SQL Server, and/or SaaS. Able to ...

Sr. Business Analyst

Houston, TX · On-site

$88.30K - $114.10K/yr

The Business Analyst is to remain heavily engaged with customers and team members through the ... Proficiency with SQL language and database management General Information Location: * 1111 Fannin ...

Sr. Business Analyst

Houston, TX · Hybrid

$88.30K - $114.10K/yr

The Business Analyst is to remain heavily engaged with customers and team members through the ... SQL language and database management General Information Location: 1111 Fannin St., Houston, TX ...

Sr. Business Analyst

Houston, TX · Hybrid

$88.30K - $114.10K/yr

The Business Analyst is to remain heavily engaged with customers and team members through the ... SQL language and database management General Information Location: 1111 Fannin St., Houston, TX ...

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Business Analyst Sql R Python information

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How much do business analyst sql r python jobs pay per hour?

As of May 29, 2026, the average hourly pay for business analyst sql r python in Houston, TX is $45.30, according to ZipRecruiter salary data. Most workers in this role earn between $33.99 and $56.68 per hour, depending on experience, location, and employer.

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

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.
What are popular job titles related to Business Analyst Sql R Python jobs in Houston, TX? For Business Analyst Sql R Python jobs in Houston, TX, the most frequently searched job titles are:
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What cities near Houston, TX are hiring for Business Analyst Sql R Python jobs? Cities near Houston, TX with the most Business Analyst Sql R Python job openings:

SR FINANCIAL ANALYST - Analytics and Data Visualization

empyrean

Houston, TX • On-site

$81.60K - $101.70K/yr

Other

Posted 29 days ago


Empyrean rating

4.6

Company rating: 4.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

178th of 183 rated software companies


Job description

JOB TITLE: Senior Financial Business Analyst – Analytics & Data Visualization

CLASSIFICATION: Exempt

JOB SUMMARY


We’re looking for a Financial Business Analyst to join the Finance organization, focused on data visualization, dashboard design, and business-facing analytics. This role is responsible for transforming complex financial and operational data into clear, trusted dashboards that directly inform business strategy and decision-making across the company.

This role is part of the Finance organization and reports to Finance leadership, with accountability for analytical outputs, metric definitions, and insights residing within Finance.

You will work closely with Finance leadership and partner with Revenue and Operations to shape KPIs, reporting standards, and analytical approaches. Your work will regularly inform senior stakeholders by providing clear, analytically grounded perspectives on performance, trends, risks, and tradeoffs.

This role blends hands-on analytics execution with strategic thinking: designing metrics, building scalable dashboards, and applying analytical judgment to help the business understand not just what happened, but why and what it implies for future decisions.

This role is ideal for someone who enjoys being the bridge between data and business strategy, values clarity over complexity, and is intellectually curious enough to independently explore, troubleshoot, and continuously improve analytical solutions (including effective use of generative AI tools).

ESSENTIAL DUTIES AND RESPONSIBILITIES


  • Design, build, and maintain high-impact dashboards that clearly communicate financial and operational performance
  • Own the end-to-end analytics workflow within Finance: business questions → metrics → visualizations → insights
  • Partner with Finance, Revenue, Operations, and senior stakeholders to define KPIs, reporting standards, and analytical conventions
  • Use SQL to connect visualization tools directly to data sources and shape datasets for reporting and visualization
  • Automate recurring dashboards and reports to reduce manual effort and improve consistency
  • Ensure data accuracy, metric consistency, and analytical rigor across Finance-owned reporting
  • Apply statistical and probabilistic reasoning—such as trend analysis, variability, confidence intervals, and regression models—to support interpretation and decision-making
  • Proactively identify trends, anomalies, risks, and opportunities within financial and operational data
  • Clearly communicate insights, assumptions, and limitations to both technical and non-technical audiences

 

 

 

REQUIRED SKILLS AND ABILITIES


  • Solid SQL skills for querying and shaping data for reporting and visualization
  • Advanced Excel proficiency
  • Strong understanding of financial concepts (revenue, margin, forecasting, budgeting, variance analysis, KPIs)
  • Working familiarity with applied probability and statistics, including confidence intervals, trend analysis, and regression models
  • Demonstrated ability to independently research problems, validate assumptions, and design fit-for-purpose analytical solutions
  • Comfort using generative AI tools to accelerate analysis, troubleshooting, and solution design

 

KNOWLEDGE, EXPERIENCE, AND/OR EDUCATION REQUIREMENTS


  • 5-7 years of experience in Business Analytics, BI, Finance Analytics, or a similar role
  • Strong expertise in data visualization and dashboarding tools (Tableau, Power BI, Looker, or similar)
  • Finance background or formal education in Finance, Accounting, Economics, Statistics, or a related field
  • Experience building self-service dashboards for Finance and business users
  • Experience in SaaS, revenue analytics, FP&A, or pricing
  • Familiarity with basic data modeling concepts (facts, dimensions, metric definitions)
  • Light experience with Python or R for analysis or automation (not required)
  • Graduate-level coursework or research exposure to applied statistics or quantitative methods

Disclaimer: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Management reserves the right to modify or reassign job duties as business needs evolve.