Analytics Engineer
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
7 days ago
Vacancies:
1 Vacancy
Job Summary
You will partner with multi-functional teams to identify develop and maintain metrics and data pipelines to support analytics reporting and key decisions on a wide variety of topics including product launches customer experience and operational performance. Other responsibilities include the following: - Design create refine and maintain data pipelines and ingestion processes used for modeling analysis and reporting.- Collaborate with other data scientists analysts and engineers to build full-service data solutions.- Work with multi-functional business partners and vendors to acquire and transform raw data sources.- Develop a deep understanding of our retail customer base and purchase choices and give to the development of tools to improve business efficiency and productivity.
- 4 years of industry experience building analytics pipelines in a production development environment.
- Bachelors degree in Computer Science Electrical Engineering Information Systems Data Science or other Analytics fields or a related subject area or equivalent industry experience.
- 4 years experience coding in SQL or PySpark and Python.
- 4 years in data modeling and building robust and scalable data processes and pipelines for modeling analysis and reporting.
- Ability to initiate refine and complete projects with minimal guidance.
- Ability to think critically and collaborate multi-functionally with other data engineering data science and analytics partners distilling abstract requirements into clear data products.
- 6 years of experience building analytics pipelines in production development environment ideally with Snowflake SQL or PySpark and pipeline tools like Airflow and dbt.
- 3 years of experience in data observability building unit tests anomaly detection and alerting solutions.
- 3 years of experience developing feature stores for machine learning applications testing and evaluating machine learning models and scaling and deploying ML models.
- Experience translating business needs into logic and key performance indicators.
- Experience with BI processes and some experience with dashboard tools like Tableau.
- Masters Degree in Computer Science Electrical Engineering Information Systems Data Science or other Analytics field or a related subject area with specialization in Machine Learning.
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
