Senior Remote Data Scientist & Analytics Lead

Spectraforce; United States; Remote; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Spectraforce seeks a Plasma Senior Data Analyst / Data Scientist for a 12-month remote assignment. The role analyzes data to identify strategic trends, builds dashboards, and delivers data-driven recommendations to senior leadership.

Responsibilities include SQL/Python data manipulation, forecasting models, KPI development, and collaboration with Operations, Finance, and IT. Strong analytics and communication skills are essential.

Qualifikationen

• Bachelor's degree in Data Science, Statistics, CS, or related field.
• 5+ years as Senior Data Analyst/BI/Analytics professional.
• 2-4 years applying data science methods incl. predictive modeling.
• Advanced SQL experience with large relational databases.
• Strong Python for data analysis and modeling.
• Experience with Power BI, Qlik Sense, Tableau.

Aufgaben

• Collect and analyze data to identify strategic and operational insights.
• Provide data support to realize financial benefits from initiatives.
• Extract, query, and analyze large datasets using SQL and Python.
• Develop dashboards, reports, and KPIs for leadership.
• Build statistical and forecasting models to improve decisions.
• Collaborate with cross-functional teams to deliver analytics solutions.
• Validate data quality and resolve data issues with data engineering.
• Deliver ad hoc analyses for strategic initiatives.

Kenntnisse

Advanced SQL

Python

Data analysis

Dashboard development

Communication

Problem solving

Ausbildung

Bachelor's degree in Data Science or related field

Master's degree (nice to have)

Tools

Power BI

Qlik Sense

Tableau

Snowflake

Azure

AWS

Google Cloud

Git

Jupyter Notebook

ETL concepts

Jobbeschreibung

Spectraforce seeks a Plasma Senior Data Analyst / Data Scientist for a 12-month remote assignment. The role analyzes data to identify strategic trends, builds dashboards, and delivers data-driven recommendations to senior leadership.

Responsibilities include SQL/Python data manipulation, forecasting models, KPI development, and collaboration with Operations, Finance, and IT. Strong analytics and communication skills are essential.