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Senior/lead Analytics Data Engineer
hace 3 semanas
ID: 19406
**What you will do**
- Develop and maintain data models (conceptual, logical, and physical) to support analytics and reporting needs;
- Create and manage data dictionaries, ER diagrams, and schema designs that align with business requirements;
- Collaborate with data architects and stakeholders to define data modeling standards and best practices;
- Develop and lead a team of junior data analysts, providing mentorship, training, and coaching to increase technical acumen across the team;
- Develop scalable systems to expand reporting capabilities, facilitate ad hoc analysis, and improve data-driven decision-making at all levels of the business;
- Contribute to the establishment of standards for writing clean, organized code and documentation to streamline data and analytics workflow;
- Drive and promote a culture of testing, observability, and scalability with a data-driven mindset;
- Manage and continuously improve business user’s experience with data and reporting, including KPI development, data visualization, and communication of applicable insights to audiences at varying levels of technical sophistication;
- Increase overall data literacy across ELC through education and advocacy;
- Develop partnerships with engineering, data science, and product teams to deliver on major cross-functional reporting, measurement, and testing efforts;
- Actively participate in ELC’s diversity and inclusion agenda.
**Must haves**
- BS/BA in a quantitative field; a plus if MS degree in a quantitative discipline (e.g., Statistics, Operations Research,
- Economics, Computer Science, Mathematics, Engineering) or equivalent practical experience;
- Proven experience as a Data Engineer, with a focus on analytics and data modeling;
- 4+ years of experience in Data Warehouse Data Modeling techniques;
- 4+ years of experience (2+ with a graduate degree) in Analytics, Data Science, or Software Engineering, both as an individual contributor and managing teams; including expertise with descriptive statistical analysis and data transformation;
- Strong proficiency in SQL and experience with data modeling tools;
- Knowledge of programming languages such as Python or Java;
- 4+ years of hands-on experience in crafting compelling data visualizations to inform business decisions;
- Experience with analytics software such as Looker, PowerBI, Tableau, or similar open-source tools;
- Expertise in Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Pub/Sub, and Cloud Storage;
- Experience with ETL/ELT processes and tools;
- Track record of delivering data-driven products and insights as well as influencing product and engineering decisions;
- Experience in analyzing, validating, and transforming large datasets;
- Familiarity with data governance, data quality, and data security best practices;
- Proficiency in deploying data-intensive solutions. Solid understanding of the software development lifecycle;
- Upper-intermediate English level.
**The benefits of joining us**
- **Professional growth**
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
- **Competitive compensation**
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
- **A selection of exciting projects**
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
- **Flextime**
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.
**Job Types**: Full-time, Contract
