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Business Analyst Sql R Python Jobs in Lafayette, LA

Stuller

Business Analyst

Lafayette, LA · On-site

Build project-level data models (SQL, and some Python) to support analytics and reporting deliverables; test outputs against source systems and expected business logic. * Gather and document ...

CGI Inc.

Junior Business Analyst

Lafayette, LA · On-site

$25.25 - $34/hr

Junior Business Analyst Category: Business Analysis (functional and technical) Main location ... Experience authoring SQL queries will strongly benefit a candidate. CGI is required by law in some ...

SCP Health

Sr. Financial Analyst

Lafayette, LA · On-site

$81K - $101K/yr

Tableau; SASS; R; STATA; HOST Analytics; Workday; Kronos * Knowledge of relational / multi ... Ability to write SQL; MDX Queries a plus * Data analysis skills including but not limited to ...

D.R. Horton, Inc

Online Sales Concierge

Lafayette, LA

$14.75 - $19/hr

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly ... Generate a monthly analysis of divisional website traffic, hits, source, etc. * Maintain current ...

Stuller

Oracle EBS Developer

Lafayette, LA · On-site

Design, develop, and maintain PL/SQL code for Oracle E-Business Suite (EBS 12.2.14) 25+ modules. * Collaborate with functional teams to gather and analyze requirements. * Implement customizations and ...

Stuller

Oracle EBS Developer

Lafayette, LA · On-site

Design, develop, and maintain PL/SQL code for Oracle E-Business Suite (EBS 12.2.14) 25+ modules. * Collaborate with functional teams to gather and analyze requirements. * Implement customizations and ...

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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 Jul 14, 2026, the average hourly pay for business analyst sql r python in Lafayette, LA 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 jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

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 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.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

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.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
What are popular job titles related to Business Analyst Sql R Python jobs in Lafayette, LA? For Business Analyst Sql R Python jobs in Lafayette, LA, the most frequently searched job titles are:
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Business Analyst Sql R Python jobs near you
Business Analyst

Business Analyst

Stuller

Lafayette, LA • On-site

Other

Re-posted 9 days ago

Stuller rating

6.7

Company rating: 6.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

The Enterprise Analytics team develops and executes data analysis and reporting for multiple purposes, including customer behavior, product performance, financial results, marketing strategies, and production-related efficiency. Their objective is to gain a comprehensive understanding of functional areas and business operations to leverage data and provide insights into performance and its key drivers.

As a Business Analyst reporting to the Executive Director of Enterprise Analytics, you will help turn data into clear reporting and actionable insight. You will build and enhance dashboards and reports, validate data through code, support business users with self-service reporting, and contribute to analytics projects that improve decision-making and operational performance.

Key Responsibilities

  • Write and maintain SQL queries in Snowflake to source, prepare, and validate data for reporting; identify data issues and coordinate with technical partners to resolve them.
  • Develop and enhance dashboards and BI reports in Strategy (formerly MicroStrategy) using established datasets, definitions, and reporting standards; modify existing content to meet evolving business needs.
  • Build project-level data models (SQL, and some Python) to support analytics and reporting deliverables; test outputs against source systems and expected business logic.
  • Gather and document requirements for reporting and analytics requests in assigned support areas; translate business questions into clear specifications, KPI definitions, and acceptance criteria.
  • Support BI users through a mix of scheduled and ad hoc enablement (Jira ticket requests, email/Teams support), including report walkthroughs, targeted training sessions, and guidance on self-service reporting best practices.
  • Perform descriptive and diagnostic analyses (trends, variance, and drivers) and create clear visualizations and presentations that communicate findings and recommendations to stakeholders.
  • Use artificial intelligence tools to improve productivity and quality by refining code, accelerating analysis, automating repetitive/manual tasks, and strengthening project documentation, while following data governance, privacy, and security standards.

Basic Qualifications

  • Bachelor's degree in Analytics, Business, Computer Science, Statistics, or a related field.
  • Demonstrated early-career experience through internships, co-ops, academic projects, or entry-level roles in business intelligence, reporting, analytics, or a related area.
  • Working proficiency in SQL and a foundational understanding of database concepts and data preparation/validation practices.
  • Experience using AI-assisted tools to support coding refinement, analysis workflows, and documentation in a responsible, secure, and compliant manner.
  • Strong communication skills, including ability to explain results, provide status updates, and tailor messaging to different audiences.
  • Strong attention to detail and commitment to data accuracy, testing, and documentation.
  • Ability to manage multiple priorities, organize work, and adapt in a fast-paced environment.

Preferred Qualifications

  • Prior experience with business intelligence applications and Snowflake, plus advanced Excel skills.
  • Familiarity with Python for analysis, automation, or project-level modeling.
  • Experience providing BI user support (training, documentation, office hours, ticket-based support, or similar enablement).
  • Familiarity with Jira or similar tools for tracking work and managing deliverables.
  • Exposure to analytics notebooks (e.g., Hex Technologies) for exploratory analysis or lightweight analytics projects.
  • Exposure to basic statistical concepts and forecasting fundamentals.

This position requires candidates to have unrestricted work authorization in the United States without the need for visa sponsorship, either currently or in the future.

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