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Business Analyst Sql R Python Jobs in Reisterstown, MD

Lentech Inc.

Data Scientist 3

Linthicum, MD · On-site

$209K - $225K/yr

Regression and predictive analysis * Python * MATLAB or R * SQL or Mongodb * Metric Database (Grafana/Graphite/InfluxDB) Education : * Master's degree from an accredited college or university in a ...

Infojini Inc

Data Analyst

Linthicum Heights, MD

Work for the Business Operations team under the IT Project Management Office (PMO) to provide data ... Basic experience in programming (R, Python, Java, Javascript, etc.) Experience working with ...

PSEG

Sr. Project Controls Scheduler

Bethpage, NY · On-site

Analyze schedule variances from the execution plan and provide project teams with recommended ... Bachelor's Degree in Engineering, Accounting, Finance, Business or Construction and a minimum 4 ...

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Business Analyst Sql R Python information

See Reisterstown, MD salary details

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$44

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

As of Jul 13, 2026, the average hourly pay for business analyst sql r python in Reisterstown, MD is $44.29, according to ZipRecruiter salary data. Most workers in this role earn between $33.22 and $55.43 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.
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AI DATA BUSINESS ANALYST

APWU AFL-CIO HEALTH PLAN

Elkridge, MD • On-site

Full-time

Posted 6 days ago

Job description

The APWU Health Plan, a non-profit organization located in Elkridge, MD, is seeking an AI Data Business Analyst to join our Information Technology Division.

The AI Data Business Analyst plays a critical role in translating business needs into data driven, AI enabled solutions that will drive strategic decisions across the APWU Health Plan.

Primary Accountabilities:


Business & Data Analysis


  • Partner with business stakeholders to understand operational challenges and translate them into clear data and analytics requirements.


  • Analyze large, complex datasets to identify trends, risks, and improvement opportunities.


  • Develop business cases and ROI narratives for analytics and AI initiatives that improve efficiency, reduce errors, or enhance member experience.


AI & Advanced Analytics Enablement


  • Collaborate with IT to produce analysis dashboards, to create visualizations for the organization.


  • Support the design, testing, and deployment of machine learning and AI enabled use cases for approved initiatives.


  • Assist in monitoring models post deployment, identifying data quality issues, bias risks, or performance drift.


Governance, Compliance & Risk Awareness


  • Adhere to APWUHP Compliance requirements related to data handling and reporting requirements.


  • Document data sources, logic, assumptions, and limitations to support audits, transparency, and explainability.


  • Participate in responsible AI and data governance processes, ensuring ethical use of analytics across the organization.


Coordinate with IT Team Leads in conjunction with the IT Project Manager, to align with organization priorities.


Work with external vendors to develop and maintain approved solutions. Scope business functional enhancement projects and validate recommended solutions to the organization.


Complete other duties as assigned.



Qualifications:


Bachelor’s degree in business Analytics, Data Science, Information Systems, Statistics, Computer Science, or a related discipline, or equivalent practical experience.


5+ years of experience in data analysis, business analysis, or analytics roles, preferably in healthcare, insurance, or other regulated environments.


Hands‑on experience working with structured datasets and analytical tools to support business decision‑making.


Experience collaborating with cross‑functional teams, including IT, compliance, and operations.


Excellent technical and analytical skills, as well as exceptional verbal and written communication skills. Ability to render and write business requirements such as technical documentation and business decision documentation.


Proficiency in requirements gathering - effectively translating business needs as expressed by users into workable specs, estimating time duration to complete and implement the solution.

Strong SQL and data analysis skills; experience with BI and visualization tools.


Familiarity with machine learning or AI concepts (predictive modeling, NLP, automation), with emphasis on business application rather than model development.


Ability to clearly communicate insights, risks, and recommendations to non‑technical audiences.


Experience with healthcare claims, enrollment systems, or payer data preferred.


Exposure to model governance, audit support, or regulatory reporting preferred.


Experience supporting analytics during high volume periods such as Open Season preferred.