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

Jobtailor

Data Governance Analyst

Dearborn, MO · On-site

$75 - $130/hr

... Alteryx, R, Python, or similar analytics and reporting technologies * Familiarity with SQL ... Experience translating business, privacy, and compliance needs into requirements, approval criteria ...

Stellar IT Group

Business Analyst

Saint Louis, MO · On-site

Write advanced SQL queries and calculations. * Translate ambiguous business problems into analytical approaches and insights. * Analyze complex data to draw conclusions and inform decision making.

Kohl's

Leverage SQL to retrieve, transform and prepare data for robust analyses * Present findings to ... Experience with an object-oriented programming language (R, Python etc.) * Ability to write ...

duvari group

Sr. Business Analyst

Bridgeton, MO · On-site

$95K/yr

This Senior IT Business Analyst role puts you at the center of custom application development, working across the full SDLC from requirements and SQL analysis to QA and UAT when needed. You will wear ...

duvari group

Sr. Business Analyst

Bridgeton, MO · On-site

$87K - $113K/yr

This Senior IT Business Analyst role puts you at the center of custom application development, working across the full SDLC from requirements and SQL analysis to QA and UAT when needed. You will wear ...

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Business Analyst Sql R Python information

What is a business analyst SQL R Python?

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.

How do business analysts with 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 the key skills and qualifications needed to thrive as a business analyst with SQL, R, and Python expertise?

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.

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Business Analyst Sql R Python jobs near you

Associate Director, WW Forecasting and Insights

Jobtailor

California, MO • On-site

$120 - $160/hr

Other

Posted 17 days ago

Job description

  • Own short-range and long-range commercial forecasts across RayzeBio's full portfolio of assets, including RYZ 101, early-stage clinical and preclinical programs
  • Own the launch forecast for RYZ 101 in GEP-NET, including patient flow modeling, epidemiology-based sizing and assumption documentation
  • Integrate insights from market research, competitive intelligence, and real-world data to inform forecast assumptions
  • Partner with finance, manufacturing, business development, commercial, and others to ensure forecasts are aligned with enterprise planning processes, including LTFP cycles, supply and demand planning, and portfolio valuation updates
  • Prepare and deliver clear, insight-driven forecast updates to senior leadership and cross-functional stakeholders; proactively address questions on key assumptions and scenarios
  • Build consensus among cross-functional teams around underlying forecast assumptions, and clearly communicate range of outcomes and key risks/opportunities
  • Develop scenario analyses to support business development evaluations, pipeline prioritization decisions, and clinical development planning
  • Design and execute a primary market research program to support strategic planning for early-stage clinical and preclinical assets
  • Conduct claims data analyses to generate insights on patient journeys, treatment patterns, disease epidemiology, and competitive dynamics
  • Leverage and analyze standard syndicated data sets (e.g., IQVIA, Symphony Health) to monitor market trends and inform commercial strategy
  • Collaborate with Medical Affairs, Clinical Development, and Commercial to integrate scientific and commercial insights into a unified view of each asset's opportunity
  • Manage market research and analytics vendors to ensure quality, compliance, and timely execution of projects.
Requirements
  • Bachelor’s degree in Business, Life Sciences, Statistics, or similar; advanced degree preferred
  • 7+ years in pharma / biotech market research, analytics, consulting or 5 years in pharma / biotech market research, analytics, consulting experience with experience in radiopharmaceuticals
  • Demonstrated experience building and maintaining commercial forecasts, including patient-flow models and epidemiology-based approaches
  • Direct experience designing and executing primary market research studies (quantitative and qualitative)
  • Working knowledge of third-party data sources, including patient-level claims data and syndicated sales data
  • Strong communication and storytelling skills, with a proven ability to translate complex analyses into clear, actionable recommendations for senior stakeholders.
  • Oncology or rare disease experience preferred
  • Hands-on analytics experience (SQL, R, Python)
  • Prior experience supporting a commercial launch.
  • Familiarity with business development support, including pipeline valuations and scenario modeling.
Core Competencies

Demonstrates expertise in commercial forecasting and market research within the pharma and biotech sectors, with a strong focus on patient-flow modeling and epidemiology-based approaches. Proficient in leveraging data analytics and insights to inform strategic planning and support commercial launches.

Highest-signal resume keywords
  • Commercial Forecasting
  • Primary Market Research Design
  • Patient-Flow Modeling
  • Hands-On Analytics (SQL, R, Python)
  • Pharma/Biotech Experience
ATS Optimization KeywordsHard Skills
  • Commercial Forecasting
  • Patient-Flow Modeling
  • Epidemiology-Based Approaches
  • Primary Market Research
  • Data Analysis
  • Scenario Modeling
  • Claims Data Analysis
  • Quantitative Research
  • Qualitative Research
  • Market Trend Analysis
Soft Skills
  • Strong Communication Skills
  • Storytelling Skills
  • Consensus Building
  • Proactive Problem Solving
  • Stakeholder Engagement
Industry Keywords
  • Pharma
  • Biotech
  • Radiopharmaceuticals
  • Oncology
  • Rare Disease
  • Market Research
  • Analytics
  • Business Development
Tools & Technologies
  • IQVIA
  • Symphony Health
  • Syndicated Data Sets
  • Market Research Vendors
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