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Lead Analyst

$87.1k - $161.7k

Publicis Groupe ANZ

Overview Epsilon’s award‑winning COREID identity solution is the foundation of Epsilon’s industry‑leading performance marketing solutions. As a Lead Analyst of Identity Analytics, you’ll be joining a small team with a big impact. Your role will include reporting on KPIs for Epsilon’s identity, evaluating potential partners, and forecasting the impact of ecosystem changes and new features. You will work cross‑functionally with teams such as Decision Science Identity, Product, Engineering, and Data Partnerships. Identity Analytics provides the analysis that ties identity to business impact. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice. Responsibilities Own execution of identity analytical processes with limited supervision, including expected yield from new data sources and impact of ecosystem changes Perform exploratory analyses and proof of concepts for methods under exploration Become a subject matter expert in COREID Develop scenario analyses to meet business objectives based on various identity strategies Contribute insights and planning for further enhancements to CORE ID Work collaboratively and cross‑functionally to develop analytical approaches to business questions Qualifications Profile Degree (Master’s preferred) in Marketing, Business, Economics, Mathematics, Statistics, Operations Research or related discipline 5+ years of experience in marketing or business analytics Demonstrated ability to work cross‑functionally to achieve results Ability to manage multiple analyses and projects simultaneously and independently Curiosity and willingness to self‑teach Interested in applying analysis to make business decisions Understanding of MarTech and AdTech industries preferred Analytical Experience presenting analytical findings and recommendations to non‑analytical collaborators Ability to extract insights from data sets and apply to business problems/decisions Experience exploring and presenting data via enterprise data visualization software (e.g. Tableau, Power BI) Sound critical thinking and problem‑solving skills Technical Advanced experience with SQL Demonstrated big data experience Spark, Hive, Scala preferred Familiarity with other data tools such as Python or R preferred Benefits & Compensation Time to Recharge: Flexible time off (FTO), 15 paid holidays Time to Recover: Paid sick time Family Well‑Being: Parental/new child leave, childcare & elder care assistance, adoption assistance Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Compensation Range: USD $87,100.00 - USD $161,700.00 Annually. The Company reserves the right to modify this pay range at any time. Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to View email address on click.appcast.io to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901‑4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. #LI‑ML1 #J-18808-Ljbffr

Vacancy posted 3 days ago
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