Senior Analytics Solutions Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate and link the performance of Paid Media platforms with comprehensive outcomes from lead generation and application to enrollment, student lifetime value (LTV), and return on ad spend (ROAS).

• Collaborate with Paid Media and Channel teams to establish attribution and measurement frameworks that connect ad platform data to enrollment and revenue results.

• Create and sustain analyses of ROAS and LTV that relate paid media investments to long-term student value and profitability at the program level.

• Execute complex analytics projects across performance, marketing, channel media, and solution domains.

• Design, construct, and refine scalable data models, pipelines, and transformation workflows utilizing Databricks.

• Develop, enhance, and optimize Power BI dashboards and reporting experiences, including semantic modeling and advanced DAX.

• Assist in validating web analytics tagging and ensuring the quality of event data.

• Contribute to Marketing Mix Modeling efforts, encompassing channel spending optimization, geo-experiments/lift tests, and budget allocation suggestions.

• Perform analyses on funnels, cohorts, channels, ROAS, LTV, conversions, and forecasts.

• Convert intricate datasets into actionable business insights and strategic recommendations.

• Establish and implement KPIs, performance frameworks, and measurement methodologies in collaboration with cross-functional teams.

• Enhance data quality, consistency, governance, and reliability of reporting.

• Promote workflow automation and process efficiency.

• Communicate findings, trends, and strategic recommendations to Directors, VPs, and Executive stakeholders.

⛳️ Requirements

• Demonstrated experience in linking paid media platform performance (spend, cost per lead (CPL), cost per acquisition (CPA)) to comprehensive business outcomes, including enrollment, LTV, and ROAS.

• Strong expertise in Paid Media measurement, encompassing multi-touch attribution and campaign performance analysis across various platforms (Google Ads, Meta, LinkedIn, etc.).

• Familiarity with Marketing Mix Modeling (MMM), media mix simulation, or geo-experiments/lift tests.

• Advanced SQL skills, including the use of Common Table Expressions (CTEs), window functions, query optimization, and large-scale data transformation.

• Significant hands-on experience with Power BI, including semantic modeling, advanced DAX, and dashboard user experience/storytelling.

• Robust experience with Databricks, including Delta Lake, PySpark, notebooks, and workflows.

• Working knowledge of web analytics platforms such as Adobe Analytics or Google Analytics 4 (GA4).

• Excellent executive communication and data storytelling abilities.

• Capability to navigate ambiguity independently and lead through undefined problem spaces.

• Experience with LTV modeling or long-term value analysis.

• Proficiency in Python, statistical modeling, or advanced analytics workflows.

• Exposure to AI-enabled analytics, automated insight generation, or intelligent reporting frameworks.

• Background in product analytics, experimentation, or growth analytics.

• Experience in analytics engineering or modern data architecture.

• Familiarity with data clean rooms or audience data-sharing measurement.

• Proven track record of working in high-growth, fast-paced environments.

🏝️ Benefits

• Equal-opportunity employer.

• Diverse and inclusive workforce.