Marketing Data Analyst
Marketing Data Analyst
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Job Description
SLAY founded in December 2022 has swiftly made its mark in the mobile world. In 2023 we developed several apps and games that reached the #1 spot in the App Store across 3 continents.
Backed by some of the worlds most esteemed investors including Accel Kevin Weil Riccardo Zacconi Scott Belsky and Ilkka Paananen SLAY is rapidly growing and reaching millions of users.
Our mission is to create digital life through AI and become the leading company for virtual friends that live grow and evolve like humansstarting with Pengu. Pengu has become the biggest AI character app with its own IP in the US and Europe.
Tasks
Data Analysis and Insights: Enable tactical and strategic decisionmaking by providing insightful analyses developing predictive models and creating dashboards.
Predictive Analytics: Build and interpret predictive models to forecast Lifetime Value (LTV) and user behavior optimizing marketing spend and strategies.
Attribution Modeling: Implement and refine attribution modelsincluding probabilistic and multitouch modelsworking with SKAdNetwork (SKAN) data and other privacycentric attribution methods.
A/B Testing: Design analyze and interpret the results of A/B tests to inform marketing strategies and improve campaign performance.
Crossfunctional Collaboration: Work closely with marketing user acquisition and data engineering teams to understand data needs and deliver solutions that drive business objectives.
Requirements
Experience:
- 3 years in a role such as Data Analyst or Data Scientist with a strong emphasis on marketing analytics.
- Currently employed in a gaming company actively addressing similar challenges is a plus.
Technical Proficiency:
- Strong expertise in SQL and experience with data analysis tools.
- Proficiency in a programming language (e.g. Python or R).
- Experience with cloud data warehouses is a plus.
Predictive Analytics:
- Experience with predictive modeling techniques and forecasting LTV.
- Familiarity with machine learning concepts and algorithms relevant to marketing analytics.
Attribution Modeling:
- Strong knowledge of attribution models including probabilistic and multitouch models.
- Familiarity with mobile attribution challenges like SKAdNetwork (SKAN).
Data Visualization:
- Proficiency with visualization tools like Tableau Looker or Power BI.
Marketing Knowledge:
- Deep understanding of performance marketing user acquisition strategies and performance metrics (e.g. CPI CPA ROAS Kfactor).
Analytical Mindset:
- Strong problemsolving skills and a datadriven approach.
- Ability to handle complex datasets and extract actionable insights.
Communication Skills:
- Excellent verbal and written communication skills.
- Ability to convey complex data insights to nontechnical stakeholders.
Adaptability:
- Proven ability to deliver highquality results in a fastpaced highpressure environment.
Employment Type
Full Time
