Sr. Data Science Analyst
Listed on 2026-02-14
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
JOB TITLE
Commercial Enablement Sr. Data Science Analyst – Power BI Developer & Data Engineer, Data Analytics
Job Duration10 months contract
LocationREMOTE
Pay Range$75-80/Hour on W2
SUMMARYThe Commercial Enablement Sr. Data Science Analyst – Power BI Developer & Data Engineer plays a central role in transforming complex, multi-source data into reliable, scalable, and action‑oriented analytics that directly influence commercial decision‑making. This role sits at the intersection of data engineering, applied data science, and executive‑level visualization, with a strong bias toward execution and measurable business impact.
This is a highly hands‑on role responsible for designing, building, and maintaining advanced Power BI dashboards and data models that enable leaders to identify growth opportunities, optimize sales productivity, and improve profitability in real time. The role requires deep technical expertise in pulling, modeling, and transforming data from multiple enterprise systems, including Palantir Foundry, Client (Sales & Marketing Clouds), and operational data sources.
Beyond reporting, this role applies statistical analysis, modeling techniques, and data science principles to uncover patterns, surface insights, and inform strategic decisions. The ideal candidate is equally comfortable writing transformations, optimizing data pipelines, and translating complex analyses into intuitive, compelling visual stories that drive action at the executive and field‑sales level.
This position is a critical contributor to elevating Alside’s commercial analytics and insights agenda, accelerating growth initiatives, improving operational effectiveness, and supporting value creation in a fast‑paced, private‑equity‑backed environment.
WORK ENVIRONMENT & IDEAL CANDIDATE PROFILEThis role is designed for a high‑performing, highly motivated analytics professional who thrives in fast‑paced, private equity environments where priorities evolve quickly, expectations are high, and results matter. The individual must be comfortable with the intensity that comes with PE‑backed growth, including the willingness to work extended hours when required to meet deadlines, support leadership decisions, or deliver critical analyses.
In return, this role offers unusual exposure and impact. The individual will work across commercial, sales, marketing, operations, and executive leadership on high‑visibility projects that shape strategy, influence investment decisions, and directly impact growth and profitability.
- Ambitious and competitive, with a strong internal drive to win and outperform
- Aggressive in execution, taking ownership and pushing work across the finish line
- Curious and intellectually sharp, eager to dive into complex data problems
- Comfortable with ambiguity, able to create structure where none exists
- Career‑oriented, seeking a role that will serve as a defining chapter in their professional trajectory
ACCOUNTABILITIES
Execute commercial sales analytics priorities to deliver elevated growth and productivity insights for action, including but not limited to
- Build, enhance, and maintain interactive Power BI dashboards to drive commercial activity, giving leaders the ability to focus on the right opportunities or issues
- (Palantir) Foundry Data Integration and Application
- Enhance and optimize Foundry datasets, objects, and transformations to support scalable, high‑performance Power BI and Excel reporting for commercial applications
- Collaborate with data engineers to understand Foundry pipeline logic, schema changes, and upstream dependencies and integrate new data sources into Power
BI dashboards and Excel reports
- Data Integration and Application:
Automate and integrate and shipment data to enable development of a sales effectiveness analytics and insights dashboard - Excel Data Analysis & Reporting
- Design, develop, and maintain complex Excel spreadsheets and scorecards to track KPIs using advanced functions to clean, automate, and interpret large datasets.
- Use statistical methods, modeling and data analysis to inform and support decision‑making
- Partner with business stakeholders to translate reporting needs into clear technical…
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