Senior Plasma Data Analytics Lead

Real; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

Real is seeking a Plasma Senior Data Analyst / Data Scientist to build out analytics capabilities across Plasma Operations. You will blend deep data science with business intelligence to support senior leadership decisions and improve operational excellence.

You will primarily focus on data modeling, KPI reporting, and dashboard development using Power BI and Qlik Sense, while collaborating with Operations, Quality, Data Science, and Finance. Travel up to 25% may be required.

Qualifications

• Bachelor's degree in a data-related field; 5+ years analytics experience.
• 5+ years as Senior Data Analyst/BI Analyst or analytics professional.
• 2-4 years data science experience incl. predictive modeling and ML.
• Strong SQL and Python, and experience with large enterprise data sets.
• Experience building dashboards and KPI reporting using Power BI, Tableau, or QlikSense.

Responsibilities

• Collects and analyzes data to identify trends and insights that inform strategic decisions.
• Designs, develops, and maintains dashboards, reports, and KPIs for leadership.
• Develops statistical models and forecasting to improve reporting and decision-making.
• Collaborates with cross-functional teams to elicit requirements and deliver analytics solutions.
• Performs ad hoc analyses to support strategic initiatives and leadership questions.
• Ensures data quality and resolves issues with data engineering/science teams.

Skills

Advanced SQL

Python

Statistical analysis

A/B testing

Data modeling

KPI reporting

Dashboard development

Stakeholder communication

Education

Bachelor's degree in a data-related field

Master's degree in Data Science or Analytics

Tools

Power BI

Tableau

QlikSense

SAP

SQL Server

Snowflake

Oracle

ServiceNow

Jira

Python (Pandas/NumPy)

Job description

Real is seeking a Plasma Senior Data Analyst / Data Scientist to build out analytics capabilities across Plasma Operations. You will blend deep data science with business intelligence to support senior leadership decisions and improve operational excellence.

You will primarily focus on data modeling, KPI reporting, and dashboard development using Power BI and Qlik Sense, while collaborating with Operations, Quality, Data Science, and Finance. Travel up to 25% may be required.