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.