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Business Analyst Sql R Python Jobs in Washington

... business, finance, accounting, statistics, product development or data analysis. * Strong technical skills, including the ability to independently execute complex data analytics in SQL, R, or Python.

GIS Analyst

Washington, DC · On-site

$87K/yr

Five years of professional experience preferred in R, python, SQL, or another programming language ... analysis; Master's preferred.

Five years of professional experience preferred in R, python, SQL, or another programming language ... analysis; Master's preferred.

Perform data analysis using SQL to validate business rules, investigate issues, and support decision-making. * Develop data flow diagrams and process flows to represent system interactions and data ...

Hello, Business Analyst V - BA with UAT Testing Location: Reston, VA (Hybrid 3 Days onsite)(local ... Working knowledge of SQL is an added advantage. Please feel free to reach at gaurav09@kanakits.com

... g., SQL, R, Python) * Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis * Synthesize business needs with your ...

Business Analysis (functional and technical) Main location: United States, Virginia, Fairfax ... Experience authoring SQL queries will strongly benefit a candidate. CGI is required by law in some ...

Business Analyst Standard III Duration: 5 Months - Long Term Location: Washington, DC 20433 Hybrid ... Proficient in SQL. * Solid analytical and problem-solving skills. * Effective team player.

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ... business intelligence applications. • Skill applying analytical techniques, methods, and ...

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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.
What are popular job titles related to Business Analyst Sql R Python jobs in Washington? For Business Analyst Sql R Python jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Business Analyst Sql R Python jobs? Cities in Washington with the most Business Analyst Sql R Python job openings:
SAS to Python / R Migration Architect

SAS to Python / R Migration Architect

Ignite IT

Suitland, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

The SAS to Python/R Migration Architect is responsible for end-to-end strategy, design, and governance of large-scale analytical and statistical code migrations from SAS to modern open-source ecosystems (Python and R). This role focuses on assessment, architecture, standards, risk management, and validation, working closely with stakeholders and development teams to ensure accuracy, performance, and regulatory fidelity.

This is a hands-on technical leadership role, not just documentation or oversight.

Key Responsibilities

  • Lead enterprise-scale migrations from SAS (Base SAS, PROC SQL, STAT, ETS, MACRO, etc.) to Python and/or R
  • Perform detailed SAS estate assessments, including:
    • Code inventory and dependency mapping
    • Macro complexity analysis
    • Data access patterns (SAS datasets, DBs, flat files)
    • Statistical method equivalency analysis
  • Define target-state architecture for Python/R analytics platforms (libraries, frameworks, environments)
  • Establish migration patterns and standards, including:
    • SAS PROC Python/R library mappings
    • Macro-to-function translation strategies
    • Reusable templates and shared components
  • Design validation and reconciliation frameworks to ensure:
    • Statistical equivalence
    • Numeric tolerances
    • Regulatory and audit compliance
  • Guide performance optimization strategies for large datasets
  • Identify automation opportunities (code scanners, translators, test harnesses)
  • Lead technical reviews and approve migrated code
  • Mentor developers and review complex conversions
  • Communicate migration risks, tradeoffs, and timelines to leadership

Requirements

  • 8+ years of advanced analytics or statistical programming experience
  • 5+ years hands-on SAS development (Base SAS, PROC SQL, MACRO, STAT)
  • Proven experience architecting or leading SAS Python and/or R migrations
  • Deep expertise in:
    • Python (NumPy, Pandas, SciPy, statsmodels, scikit-learn)
    • and/or R (tidyverse, data.table, caret, survival, forecast)
  • Strong understanding of statistical methods parity between SAS and open-source tools
  • Experience with data platforms (SQL databases, cloud storage, data lakes)
  • Familiarity with CI/CD, version control, and testing frameworks for analytics code
Nice to Have
  • Experience in regulated environments (government, healthcare, finance)
  • Prior work modernizing legacy analytics platforms
  • Exposure to cloud analytics stacks (AWS, Azure, GCP)
  • Experience designing automated validation frameworks

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance