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Business Analyst Sql R Python Jobs (NOW HIRING)

Rippling

Data Scientist II

Manhattan, NY · On-site

Responsibilities : • Use quantitative analysis and the presentation of data to share beyond the numbers and understand what drives our business. • Build full-cycle analysis using SQL, R, Python ...

New

AEG

Analyst

Houston, TX · On-site

Leverage multiple programming languages (SQL, R, Python, etc.) to query, connect, and validate data ... Bachelor's degree in data science, Business Analytics, Computer Science, Engineering, Information ...

TransUnion

Remote Senior Analytics Analyst

Chicago, IL · On-site +1

$90.70K - $120K/yr

Candidates should hold a Master's degree in relevant fields and possess strong skills in quantitative analytics, SQL, R, and Python. Strong analytical capabilities in a telecommuting setting are ...

TransUnion

Managers

SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access ... Master's degree in Computer Science, Management Information Systems, Business Analytics, or a ...

TransUnion

SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access ... Master's degree in Computer Science, Management Information Systems, Business Analytics, or a ...

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

As of Jun 3, 2026, the average hourly pay for business analyst sql r python in the United States is $47.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $59.38 per hour, depending on experience, location, and employer.

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.

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.

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.
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Business Analyst Sql R Python jobs near you
Infographic showing various Business Analyst Sql R Python job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $98,662 per year, or $47.4 per hour.
Staff Data Analyst (SQL Developer)

Staff Data Analyst (SQL Developer)

OpenLoop Health, Inc

Remote

Full-time

Posted 28 days ago

Job description

About OpenLoop
OpenLoop was co-founded by CEO, Dr. Jon Lensing, and COO, Christian Williams, with the vision to bring care anywhere. Our telehealth support solutions are thoughtfully designed to streamline and simplify go-to-market care delivery for companies offering meaningful virtual support to patients across an expansive array of specialties, in all 50 states.
About The Role
OpenLoop's mission is to bring care anywhere by powering telehealth solutions at scale.
OpenLoop is seeking a Staff Data Analyst to support the growth on our Business Intelligence team. This role will serve as an analytical partner across our growing healthcare organization. They will be responsible for shaping how data informs executive decision-making, operational excellence, regulatory compliance, and patient outcomes across our national tele-health platform. As a senior individual contributor, this role combines advanced analytics expertise with strong business partnership.
Important - Please Read:
  • If your experience is primarily with pre-packaged data or systems, this likely isn't the right fit. You should be able to interpret, organize, and integrate data from multiple sources, and demonstrate how you use SQL to clean and structure it in a clear, efficient way.
  • This role requires hands-on, day-to-day use of SQL in an advanced developer capacity. Although a Staff level Analyst may have leadership skill and experience, ALL of our analysts are still using SQL daily and often.
  • As part of the interview process, a skill assessment will be conducted to evaluate your SQL proficiency and analytical reasoning.

What You'll Do:
  • Define, and drive analytics strategy, in partnership with executive leadership
  • Shape long-term KPI frameworks tied to patient outcomes, provider performance, compliance metrics, and operational scalability.
  • Support regulatory reporting needs and ensure analytical frameworks will align
  • Use SQL developer skills, you will often / daily, clean, organize and analyze data. to provide trends, patient engagement, provider performance, and quality measures.
  • We are expecting you to know how to do this outside of the use of AI tools, in order to evaluate data quality.
  • Ensure alignment across data definitions, reporting structures, and metric calculations.
  • Identify risks related to accuracy, audit readiness, and healthcare requirements.
  • Support critical reporting tied to quality, operational and compliance initiatives.
  • Anticipate impacts on analytics and proactively recommend data adjustments.
  • Develop predictive models and forecasting using SQL, Python, R, or similar tools.
  • Design senior level frameworks to evaluate all operational delivery initiatives.
  • Build scalable, reusable data models that support enterprise-level reporting.
  • Serve as a strategic analytics across all operations Finance, Operations, Clinical, etc.
  • Translate info from non-technical stakeholders, into structured analytical plans.
  • Lead presentations that synthesize complex data into strategic recommendations.
  • Elevate standards for data quality, reporting rigor, and analytical methodologies.
  • Mentor Senior and mid-level analysts; in both technical and business acumenIdentify gaps in data collection, governance, and reporting processes and implement scalable improvements.

Who You Are
Required
  • Experienced (ideally between 7-10 years) professional experience with exceptionally strong analytical thinking and strategic stakeholder engagement skills, focused on driving effective and influential business decisions. This role is positioned to serve as a dependable right-hand to the director, consistently demonstrating leadership capability.
  • Hands on experience with data analytics, preferably within healthcare, tele-health, or highly regulated industries -- please refer to the years of experience and details above, to differentiate between the two levels.
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field required.
  • Expert-level SQL proficiency; strong experience with Python or R.
  • Advanced experience with BI and visualization tools (Tableau, Power BI, Zoho Analytics, etc.).
  • Strong understanding of healthcare operations, compliance considerations, and regulatory reporting environments.
  • Proven ability to operate independently in ambiguous, high-stakes environments.
  • Demonstrated experience influencing executive-level stakeholders.
  • Exceptional communication skills with the ability to:
    • Translate complex technical concepts into accessible language.
    • Clarify ambiguous business requests into structured analytical plans.
    • Deliver high-quality executive presentations.
  • Strong balance of technical depth and interpersonal effectiveness.
  • Comfortable managing urgent, high-visibility requests in a fast-paced healthcare environment.

Preferred
  • Experience working with multi-state healthcare operations.
  • Familiarity with HIPAA, healthcare compliance frameworks, or regulated environments.
  • Experience supporting board-level reporting or investor analytics.
  • Experience building enterprise KPI frameworks tied to patient outcomes and operational efficiency.

Our Company
We have a relatively flat organizational structure here at OpenLoop. Everyone is encouraged to bring ideas to the table and make things happen. This fits in well with our core values of Autonomy, Competence and Belonging, as we want everyone to feel empowered and supported to do their best work.
Sound like a good fit? We'd love to meet you.

Apply