StepStone Group

Programmatic recruitment advertising technology

SeniorDataAnalyst

$135–195k ~AI est. Newton, Massachusetts, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Data Analyst at StepStone Group. Skills: Data analysis, SQL, Python, Reporting. Partner with stakeholders. Understand business challenges”

Industry & Context.

Programmatic recruitment advertising technology
Problems you'll solve

Analytical thinking; Problem-solving; Critical thinking

Eligibility Requirements

Located in CO, AZ or MA, Quarterly travel

What They're Looking For.

Must Have

4-6+ years in data analytics, Bachelor's degree, SQL skills, Experience querying large datasets, Proficiency in Python for data analysis, Experience with data visualization tools, Experience with MDM concepts, Experience with data governance practices

Nice to Have

Advanced degree (Master's/MBA), Experience in client-facing environment, Experience in recruitment marketing, Experience in HR tech, Experience in performance marketing, Familiarity with attribution modeling, Familiarity with multi-touch measurement, Experience with large-scale event data, Experience with clickstream data, AWS ecosystem experience, Forecasting experience, Modeling experience, Statistical analysis experience

What You'll Do.

Partner with stakeholders

Understand business challenges

Translate challenges into insights

Develop analytical solutions

Present recommendations

Present performance insights

Support decision-making

Perform experimentation

Analyze business performance

Analyze product performance

Perform deep-dive analyses

Identify business opportunities

Define data pipelines

Improve data pipelines

Define analytical workflows

Improve analytical workflows

Build analytical frameworks

Build scalable reporting solutions

Perform cohort analysis

Perform funnel analysis

Perform attribution modeling

Advocate for data quality

Advocate for data governance

Advocate for scalable analytical best practices

Develop forecasting models

Apply statistical methodologies

Evaluate product effectiveness

Support strategic initiatives

Design experimentation frameworks

Support experimentation frameworks

Design measurement frameworks

Support measurement frameworks

Design incrementality analysis

Support incrementality analysis

Deliver data products

Ensure deliverables align with objectives

Own projects end-to-end

How You'll Work.

Team & Collaboration

Cross-functional stakeholders; Data Engineering teams

Communication Scope

Verbal communication; Written communication; Present complex analyses

Process & Methodology

Project management

Full Job Description

Appcast is the global leader in programmatic recruitment advertising technology and services. With advanced technology, unmatched market data and a team of the industry’s best recruitment marketers, Appcast’s technology and services manage job advertising annually for enterprise clients across industries. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe. Appcast is part of the Stepstone group, a leading digital recruitment platform that connects companies with the right talent and helps people find the right job. 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. Please note that candidates for this role must be located in either CO, AZ or MA. Job Responsibilities Stakeholder Analytics * 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 Data Exploration & Querying * Query large-scale datasets using SQL in cloud-based environments (e.g., AWS Athena) * Explore, validate, and reconcile data across multiple sources to ens

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