Lead Data Analytics Engineer
YOUR MISSION 🚀
🎯 Your mission’s purpose is to to support decision making across the organization. It’s a cross functional role to build and grow the Data team. You work closely with different departments and executives to analyze and identify patterns and be a subject matter expert for all things data across the organization.
Acting as Lead Data Analytics, you will design, evaluate and test data infrastructure. You play a role in our data governance across the company. with departments and executives to define and analyze metrics and patterns that will help drive business decisions.
1 | Lead our DataOps transformation with best-in-class tools (such as DBT)
- Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across all departments, all products, and all states.
- Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Analyzes data to spot anomalies, trends and compare similar data sets.
2 | Lead Dashboard creation & ensure efforts are put on the right data
- Develop and maintain dashboards for monitoring KPIs and quality indicators.
- Document and train people to use the visualization tools in order to democratize data.
3 | Analyze datasets to uncover trends, patterns, and insights that facilitate help in decision making (help guide the strategic planning, use existing data to forecast future performance)
- Analyzing data using statistical techniques.
- Providing key insights to business stakeholders to facilitate strategic decision-making.
- Exploitation of user data (on-site behavior, market, marketing campaigns, etc.).
- Assistance in carrying out various ad hoc analysis (trade, marketing, finance, PR).
- Participation in the design of models (segmentation, scoring, …).
4 | Streamline our existing processes & Provide best-in-class solutions for all teams
- Work closely with each team to understand their requirements/frustrations and provide strategic solutions.
- Identify inefficiencies and provide workable and scalable alternatives.
- Understand the full scope of how various systems fit into core business functions.
5 | Create and maintain detailed documentation
- Create and maintain documentation on metrics and how they are measured so everyone understands and uses the same measurements and logic for metrics.
- Create and maintain documentation on dashboards, sources for dashboards and SQL queries where necessary.
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