
Senior Analyst, Marketing
WeightWatchers
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $160,000 - $175,000 per year
Job Level
Tech Stack
About the role
- Work closely with our MTA & MMM data from our third party vendors and use the information to provide data-driven recommendations to our paid media team
- Evaluate performance data at the channel and vendor level, proactively identify opportunities to improve marketing campaign performance, customer segmentation, and overall marketing effectiveness through data analysis
- Own site funnel analytics to identify drop off points and areas of opportunity
- Write complex SQL queries to extract, transform, and analyze large datasets from various sources.
- Design, develop, and maintain robust and scalable data models and dashboards in Looker using LookML to provide clear and accessible insights.
- Collaborate closely with marketing stakeholders to define key metrics, build reports, and develop data-driven recommendations.
- Setting up and analyzing A/B testing site growth experiments
- Be able to analyze and validate lift test scoping & results from 3rd party vendors as well as be able to run incrementality and geo lift tests on own when required
- Works on and executes a wide range of analytics requests related to CRM performance, customer retention, and lifetime value analysis.
- Communicate analytical findings and insights effectively to both technical and non-technical audiences through clear visualizations and presentations.
- Maintain data integrity and ensure the accuracy and reliability of marketing data and reporting.
- Stay up-to-date with the latest trends and best practices in marketing analytics and data visualization.
Requirements
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related area.
- Experience (5+ years) in an analytics role, with some experience with marketing data (MTA, MMM, Braze, Amplitude, etc) specifically media analytics
- Advanced knowledge in SQL for data extraction and manipulation.
- Experience building dashboards and data models using Looker and LookML.
- Strong communication and presentation skills, with the ability to explain complex data findings clearly and concisely.
- Ability to work independently and collaboratively within a fast-paced environment.
Benefits
- Base salary may vary depending on, but not limited to: skills, experience, and location.
- This role is also eligible for a comprehensive benefits package and annual bonus program.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata analysisdata modelingdashboard developmentLookerLookMLA/B testingdata extractiondata transformationanalytics
Soft Skills
communication skillspresentation skillscollaborationindependenceanalytical thinking