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Business Analyst Sql R Python Jobs in Alabama (NOW HIRING)

Huntington

Senior Business Reporting Analyst Lead

Hoover, AL · On-site +1

$79K - $102K/yr

Lead and manage business operations data, reporting, and analysis efforts for Technology ... Experience with AWS Athena and SQL. * Experience with Python for reporting automation and data ...

Huntington

Senior Business Reporting Analyst Lead

Hoover, AL · On-site +1

$79K - $102K/yr

Description Summary: the Senior Business Reporting Analyst Lead works with business partners within ... Experience with AWS Athena and SQL. Experience with Python for reporting automation and data ...

First Horizon

Credit Model Developer

Birmingham, AL · On-site

Experience with Python and SQL * Strong analytical and critical thinking skills with high attention ... Working knowledge of Python, R, SAS, and SQL. * Knowledge of Git-based machine learning operations ...

Genuine Parts Company

BI Data Analyst

Birmingham, AL · On-site

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... SQL skills required. • Proficiency in Python, R, or other statistics platform preferred. • ...

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Business Analyst Sql R Python information

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.
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Data Scientist-Direct Hire-6-Month Register

Criminal Investigation & Law Enforcement | IRS Careers

Birmingham, AL

$125K/yr

Other

Posted 17 days ago

Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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