Data Science Analyst

Stefanini Group•Atlanta, GA

9h•Remote

About The Position

The 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, Salesforce (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. This role reports to the VP, Alside Commercial Enablement. WORK ENVIRONMENT & IDEAL CANDIDATE PROFILE This 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. The ideal candidate is: 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.

Requirements

5+ years business experience in data science, analytics and/or reporting functions.
Strong experience developing Power BI dashboards, datasets, and data models and Excel Data Analysis & Reporting.
Hands on experience working with Foundry data products, ontology structures, and tools.
Experience working with large, complex datasets and optimizing dashboard performance.
Strong analytical and modeling skills.

Nice To Haves

Bachelor's degree, MBA is a plus.

Responsibilities

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 PowerBI dashboards and Excel reports.
Salesforce.com Data Integration and Application: Automate and integrate salesforce.com 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 requirements and intuitive visual designs to deliver reporting solutions that align with business priorities
Leverage key internal and external data sources including but not limited to historical shipment, depletions, category, supplier, customer, consumer data, coupled with forward looking industry, marketplace, and consumer insights.
Implement data quality checks, validation rules, and monitoring processes to ensure accuracy and reliability.
Design, build, and maintain scalable data pipelines to ingest, transform, and model data from multiple enterprise systems for analytics and reporting use cases.
Develop and manage end-to-end data workflows, from raw data ingestion through curated datasets used in Power BI, Excel, and advanced analytics applications.
Partner with data engineers and platform teams to architect new pipelines, incorporate new data sources, and evolve existing data models as business needs change.
Enhance and optimize Palantir Foundry datasets, objects, transformations, and newly created pipelines to support scalable, high-performance reporting and analytics.
Ensure pipelines are reliable, monitored, and production-ready, including error handling, validation checks, and documentation.
Support advanced analytics and data science use cases by ensuring data structures enable statistical modeling, trend analysis, and forward-looking insights.
Optimize data models and pipelines for performance, scalability, and usability across Power BI and Excel consumers.