Data Expert
5 days ago
About this role, we are looking for an experienced analytics engineer who will contribute to our objectives of being a customer-focused, innovation-led, technology-enabled business.
- Gather and transform large sets of raw data into well-built integrated data assets using SQL, AWS Glue, or other emerging technologies.
- Recommend, build, and monitor robust and extensible data models that capture business performance from a customer experience lens.
- Identify and execute data quality testing along critical check points and surface data drift or data anomalies.
- Maintain a high standard for accuracy of data and build automated processes to catch issues proactively and report.
As the expert in critical customer experience data assets, you will maintain a catalog for reference. You will lean into developing visualizations in Tableau and occasionally support data science teams with exploratory data analysis and KPI development.
Requirements:- Bachelor's degree in computer science, data science, or engineering.
- 3 years of experience.
- Expert in writing advanced, complex SQL queries with strong experience in Python, NumPy, Pandas, and data processing tools such as Glue or SAS.
- Proficient with Tableau or Power BI for advanced visualization.
- High attention to detail, solution-oriented, and capable of meeting or exceeding deadlines in a fast-paced environment.
- Embraces diverse people, thinking, and styles.
- Advanced knowledge of AWS analytics toolkit, e.g., Redshift, Sagemaker, Lambda, etc.
- Working knowledge of statistical machine learning tools, e.g., R, scikit-learn.
- Prior experience with related industries a plus.
- Self-motivated and take pride in building great products for key stakeholders.
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