Senior Data Analyst

StepStone Group•Newton, MA

2d•$81,000 - $135,000•Hybrid

About The Position

The Senior Data Analyst partners with internal teams to deliver data-driven insights and analytical solutions that support product strategy and business decision making across Appcast. This role is responsible for the full analytics lifecycle, including exploring raw datasets, integrating external data sources, and developing insights, models, and reporting solutions that drive strategic decisions. The ideal candidate brings strong technical and analytical expertise, critical thinking skills, and the ability to communicate complex findings clearly to both technical and non-technical audiences.

Requirements

Strong problem-solving skills with the ability to work through ambiguous requests
Ability to connect data insights into business outcomes
Strong SQL skills and experience querying large datasets (Athena, Snowflake, BigQuery, etc.)
Proficiency in Python for data analysis (pandas, numpy; scikit-learn is a plus)
Experience with data visualization tools (Tableau, Looker, Power BI, or similar)
Experience with Master Data Management (MDM) concepts and data governance practices to support consistent, accurate, and scalable analytics across multiple data sources and systems
Excellent verbal and written communication skills
Ability to present complex analyses to non-technical stakeholders
Proven ability to manage projects independently from start to finish
Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field
4-6+ years in data analytics, data science, consulting analytics, or related field

Nice To Haves

Experience with forecasting, modeling, or statistical analysis is a plus
scikit-learn is a plus
Advanced degree (Master’s/MBA) is a plus, not required
Experience working in a client-facing or consulting environment strongly preferred
Experience in recruitment marketing, HR tech, or performance marketing
Familiarity with attribution modeling or multi-touch measurement
Experience working with large-scale event or clickstream data
AWS ecosystem experience

Responsibilities

Partner with cross-functional stakeholders to understand business challenges and translate them into data-driven insights and analytical solutions
Present findings, recommendations, and performance insights clearly to both technical and non-technical audiences
Act as a trusted advisor on analytics, measurement strategy, KPI development, performance optimization, and decision science methodologies
Support strategic decision-making through reporting, forecasting, experimentation, and ongoing business and product performance analysis
Query large-scale datasets using SQL in cloud-based environments (e.g., AWS Athena)
Explore, validate, and reconcile data across multiple sources to ensure accuracy, consistency, and usability
Perform deep-dive analyses to identify trends, anomalies, and business opportunities
Partner with Data Engineering teams to define and improve data pipelines and analytical workflows
Clean, manipulate, and transform complex datasets using Python (e.g., pandas, numpy)
Build analytical frameworks and scalable reporting solutions for recurring business needs
Perform advanced analyses (ie. cohort analysis, funnel analysis, attribution modeling, etc)
Advocate for data quality, governance, and scalable analytical best practices
Develop forecasting models for volume, application trends, and business performance outcomes
Apply statistical methodologies to evaluate product effectiveness and support strategic initiatives
Design and support experimentation and measurement frameworks, including A/B testing and incrementality analysis
Design and deliver custom data products (reports, dashboards, datasets, analytical tools)
Collaborate with stakeholders to define requirements and ensure deliverables align with business and product objectives
Own projects end-to-end from intake and scoping to final presentation