Quantitative Insights Specialist
3 weeks ago
We are seeking a seasoned Data Analytics Engineer to join our App Store Data team and contribute to the development of innovative data-driven solutions.
In this role, you will work closely with cross-functional teams to analyze large datasets, identify trends and patterns, and develop actionable recommendations that inform business decisions.
You will also have the opportunity to:
- Contribute to large-scale quantitative analysis projects through all phases
- Apply research and analytical skills to monitor and analyze suspicious user/device patterns, anomalies, and consolidate anti-fraud rules to mitigate usage-based billing fraud
- Communicate insights clearly to different teams and stakeholders
You will be working in a fast-paced environment where no two days are the same.
The team is collaborative and values open communication, continuous learning, and innovation.
The role requires a strong understanding of data analytics, structured and unstructured data analysis, predictive modeling techniques, and data visualization.
About the RequirementsTo be successful in this role, you will need:
- A B.S. in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering)
- At least 5+ years of experience as a Data Analytics Engineer with excellent analytical and problem-solving skills
- Advanced programming skills in data manipulation & processing (SQL, Python, and Scala)
- Experience in the big data ecosystem (e.g., Hadoop, Spark, Iceberg, Trino, Airflow)
The base pay range for this role is between $135,400 and $250,600, depending on your skills, qualifications, experience, and location.
Additionally, you will have the opportunity to participate in Apple's discretionary employee stock programs and purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan.
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