Plasma Senior Data Analyst / Data Scientist

Real Staffing Group; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

Real Staffing Group is seeking a Plasma Senior Data Analyst / Data Scientist to build analytics capabilities across Plasma Operations. You will analyze large datasets, develop dashboards and KPIs, and partner with cross-functional teams to deliver data-driven insights.

Role splits 70-75% Senior Data Analyst and 25-30% Data Scientist, with 5-7+ years analytics experience and 2-4 years data science experience. Travel up to 25% and heavy onboarding visits are expected.

Qualifications

• Proven ability to articulate and deliver concise, action-oriented insights to leadership and stakeholders.
• Bachelor's degree in a related field.
• 5+ years as Senior Data Analyst/BI Analyst/Analytics professional.
• 2-4 years applying Data Science methods including predictive modeling or ML.
• Advanced SQL with large relational databases.
• Strong Python for data analysis and model development.
• Experience with Power BI/Tableau/QlikSense.
• Ability to translate findings into actionable business recommendations.

Responsibilities

• Collects and analyzes data to identify strategic trends and opportunities.
• Provides data support to ensure accurate financial impact.
• Extracts and analyzes large datasets using SQL and Python.
• Develops dashboards, reports, and KPIs for leadership.
• Synthesizes findings into clear business recommendations.
• Builds models and automated analyses to improve reporting.
• Collaborates with cross-functional teams to deliver analytics solutions.
• Performs ad hoc analyses for strategic initiatives.

Skills

Advanced SQL

Python

Power BI

Tableau

Qlik Sense

Data Visualization

Statistical analysis

A/B testing

Education

Bachelor's degree in Data Science/Statistics/CS/Math/Economics

Master's degree (preferred)

Tools

SQL Server

Snowflake

Oracle

ServiceNow

Jira

Job description

Job Description:

• Collects and analyzes current and historical data to identify strategic and operational trends and insights. Identifies threats and opportunities for continuous improvement that will positively impact business results (e.g., cost per gram, process improvements, quality improvements, site selection, etc.)
• Provides data support to ensure accuracy in calculations and realization of financial benefit from improvement initiatives
• Extracts, queries, and analyzes large, complex datasets from multiple enterprise systems using SQL and Python
• Develops actionable insights by identifying trends, patterns, risks, and opportunities that support strategic and operational decision-making
• Designs, develops, and maintains dashboards, reports, and KPIs that enable leadership to monitor business performance
• Synthesizes analytical findings into clear business recommendations and senior leadership[1]level presentations
• Builds statistical models, forecasting models, and automated analytical solutions that improve reporting efficiency and business decision making
• Collaborates with process teams to elicit and understand requirements, challenges, and develops analytical insights from data to support data-driven solutions and improvements
• Performs ad hoc analyses to support strategic initiatives, operational improvements, and senior leader requests
• Ensures data quality by validating datasets, identifying anomalies, and partnering with data engineering/science teams to resolve data issues
• Develops scalable analytical processes and reusable code to improve automation and reduce manual reporting efforts
• Partners with cross-functional teams including Operations, Quality, Data Science, I&T, Finance, and Business Intelligence to deliver enterprise analytics solutions

Minimum Requirements:

• Proven ability to articulate and be an impactful communicator capable of delivering concise, action-oriented insights to leadership, technical, and non-technical stakeholders.
• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Business Analytics, Engineering, or related field
• 5+ years of experience as a Senior Data Analyst, Business Intelligence Analyst, or Analytics professional
• 2-4 years of experience applying Data Science methodologies including predictive modeling, statistical analysis, or machine learning
• Familiarity with A/B testing, statistical experimentation, and advanced analytical methodologies
• Advanced SQL experience with the ability to write complex queries against large relational databases
• Strong Python experience for data analysis, automation, statistical analysis, and model development
• Experience working with large enterprise datasets and multiple structured data sources
• Demonstrated experience translating analytical findings into actionable business recommendations
• Experience developing dashboards and KPI reporting using Power BI, QlikSense, Tableau, or similar visualization tools
• Excellent analytical, problem-solving, and communication skills
• Self-starter, motivated, independent, and team player who works well under pressure
• Ability to manage multiple priorities and multiple projects simultaneously

Preferred/Nice to Have:

• Master's degree in Data Science, Analytics, Statistics, Computer Science, or related discipline
• Experience within healthcare, biotechnology, pharmaceuticals, manufacturing, or plasma operations
• Experience with cloud-based data platforms (Snowflake, Azure, AWS, and Google Cloud)
• Knowledge of predictive analytics, forecasting, and optimization techniques
• Experience automating recurring reporting and analytical workflows
• Experience supporting executive leadership with strategic analytics and business insights

Technical Skills:

• SQL (advanced querying, joins, CTEs, window functions, stored procedures)
• Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn)
• Power BI, Tableau, QlikSense, SAP
• SQL Server, Snowflake, Oracle, ServiceNow, Jira
• Statistical analysis, predictive modeling, forecasting, regression analysis
• Data visualization, dashboard development, KPI reporting
• Microsoft Excel (advanced), PowerPoint, Minitab (nice to have)
• Git, Jupyter Notebook, ETL concepts, data validation, and automation

The Hiring Manager on this role leads the Apex (Operational Excellence) Team, which supports 300+ plasma centers across Plasma Operations and Quality.

The team focuses on:

• Continuous improvement
• Process optimization
• Business transformation
• Operational excellence initiatives

The team consists of Lean Six Sigma professionals, consultants, operations and quality experts, and a growing Data & Analytics function.

This opening is for a Plasma Senior Data Analyst / Data Scientist and is intended to help build out the analytics capabilities supporting Plasma Operations.

Role Profile:

• Approximately 70-75% Senior Data Analyst
• Approximately 25-30% Data Scientist
• Preferred experience:
• 5-7+ years of analytics experience
• 2-4 years of data science experience

Core Skills:

• Advanced SQL
• Python
• Statistical analysis / experimentation / A/B testing
• Data modeling and advanced analytics
• Large structured and unstructured data sets
• KPI reporting and dashboard development
• Power BI and/or Qlik Sense

The role will support a variety of stakeholders and projects rather than one dedicated initiative.

Preferred industry background for candidates:

Healthcare, biotech, biopharma, and pharmaceutical experience are preferred. However, strong analytics candidates from other industries will still be considered.

AI, automation, or agentic experience is a nice to have but not required.

HM specifically mentioned:

• UiPath
• ServiceNow automation/RPA
• AI or agentic solution exposure

**These skills are considered differentiators rather than requirements.

Travel is up to 25%, but expected to be reasonable.

Approximately 10 plasma center visits per year

Heavier travel during onboarding to understand the business

Travel should taper off once the resource is established

Local center visits may satisfy some travel needs

Additional travel may occur based on stakeholder workshops or business needs

Key Takeaways

This role is not tied to a single project.

The hiring manager is building capability ahead of anticipated analytics demand from Plasma Operations leadership.

Candidates must be comfortable supporting multiple stakeholders and shifting priorities.

Dashboarding, KPI reporting, operational analytics, and delivering business insights are expected to be significant portions of the work.

Candidates should be able to independently gather requirements, understand business problems, and develop analytical solutions.

The hiring manager emphasized the importance of being comfortable with ambiguity and working with limited direction.

Strong business communication and stakeholder engagement skills are critical.

Qlik Sense experience is particularly valuable because it is the current reporting platform, although the organization is transitioning toward Power BI.

Updated Recruiter Guidance

EOE Statement

Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.