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Business Analyst Sql R Python Jobs in Magnolia, TX

... SQL, R or Python, Power BI, and Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook). Basic Qualifications * Bachelor's degree in business administration, accounting, finance, business ...

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Python, NoSQL, SQL, R, and competent in source code management Build processes supporting data ... data analysis tools Preferred Qualifications / Experience Excellent problem-solving skills and ...

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Perform root cause analysis on external and internal processes and data to identify opportunity for ... Python, NoSQL, SQL, R, and competent in source code management * Build processes supporting data ...

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Perform root cause analysis on external and internal processes and data to identify opportunity for ... Python, NoSQL, SQL, R, and competent in source code management * Build processes supporting data ...

Senior Business Analyst

Houston, TX · On-site

$88K - $114K/yr

Summary As a Senior Business Analyst at Gainwell, you can contribute your skills as we harness the ... Strong SQL experience (including writing complex queries, joins, and data validation) and working ...

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 ...

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Business Analyst Sql R Python information

See Magnolia, TX salary details

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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 Magnolia, TX is $40.60, according to ZipRecruiter salary data. Most workers in this role earn between $30.43 and $50.82 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 job categories do people searching Business Analyst Sql R Python jobs in Magnolia, TX look for? The top searched job categories for Business Analyst Sql R Python jobs in Magnolia, TX are:
What cities near Magnolia, TX are hiring for Business Analyst Sql R Python jobs? Cities near Magnolia, TX with the most Business Analyst Sql R Python job openings:
Associate, CECL Analytics

Associate, CECL Analytics

Bank OZK

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Bank OZK rating

8.1

Company rating: 8.1 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

51st of 149 rated banks


Job description

Why Bank OZK

Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We’re nationally recognized as an industry leader in financial services. That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country. We’re investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America. Here, we're not simply filling roles. We're fostering even greater careers.

The foundation for a great career starts with an exceptional team and a comprehensive benefits package. We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts. Learn more about Bank OZK benefits.


Job Purpose & Scope

Responsible for supporting first line management of the Bank’s CECL analytics. The position focuses on risk analysis, reporting, and understanding the Bank’s data inputs for various credit risk models and support related programs such as CRE/Capital Stress Testing, Credit Scorecard, and Risk Rating Analytics. This role will convey analysis to Senior and Executive Management using analytics techniques, independent research, and subject matter expertise.


Essential Job Functions
  1. Provides internal stakeholders with analytics, reporting, and insights using internal/external data and analytics tools.
  2. Analyzes, interprets, and conveys economic, market, and internal drivers that influence credit portfolio risk and quantitative model outputs.
  3. Develops solutions independently to business problems using critical thinking and creativity.
  4. Extracts and transforms data using SQL or Python, find data inconsistencies, and resolve data quality issues.
  5. Assists in executing risk models, documenting procedures, and running user acceptance testing for the Bank’s Current Expected Credit Losses (CECL) programs.
  6. Manages assigned projects timely to ensure compliance with regulatory deadlines and internal due dates.
  7. Produces and present high-quality reports and analyses to co-workers, management, and executives.
  8. Supports requests from related Capital Stress Testing, Credit Scorecard, and Risk Rating Analytics Programs.
  9. Performs other duties as assigned.

Knowledge, Skills & Abilities
  1. General financial knowledge including basics of lending and loan structure.
  2. Knowledge of quantitative modeling principles and data quality standards.
  3. Ability to communicate effectively both verbally and in writing to a broad level of audiences.
  4. Ability to utilize discretion and sound judgment in decision-making.
  5. Ability to multitask and produce high-quality reports, presentations, and analyses.
  6. Ability to operate and work collaboratively in a fast-paced, unpredictable environment with exacting deadlines.
  7. Ability to utilize discretion and sound judgment in decision-making.
  8. Comprehensive skill in computer and software, including SQL, R or Python, Power BI, and Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook).

Basic Qualifications
  1. Bachelor’s degree in business administration, accounting, finance, business analytics, or job-related discipline, or five (5) years of work experience in credit analytics, required, master’s degree preferred.
  2. Two or more years of demonstrated experience in data analysis, business intelligence, data management, or a job-related field, required.
  3. Two or more years of experience in banking, finance, accounting, or real estate, preferred.

Job Expectations

Operate customary equipment and technology used in a business environment, with or without accommodation.

Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required.  Other job functions, duties, skills, and standards may be added.  Management reserves the right to add or change the job requirements at any time.

#LI-KC1


EEO Statement

Bank OZK is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.

Qualifications:
  1. Bachelor’s degree in business administration, accounting, finance, business analytics, or job-related discipline, or five (5) years of work experience in credit analytics, required, master’s degree preferred.
  2. Two or more years of demonstrated experience in data analysis, business intelligence, data management, or a job-related field, required.
  3. Two or more years of experience in banking, finance, accounting, or real estate, preferred.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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