The BI Engineer will be responsible for organizing and reporting data related to sales numbers, market research, logistics, linguistics, or other behaviors.
They utilize technical expertise to ensure data reported is accurate and high-quality.
Data will need to be analyzed, designed, and presented in a way that assists individuals, business owners and customer stakeholders to make better decisions.
Responsibilities
Technical: Building extremely fast, highly current data reporting and analytical systems that will be used by multiple teams to drive decisions utilizing typical components such as ETLs with Python and SQL queries on both SQL and NoSQL databases. Ensure consistent optimization of performance and quality so as to enable faster decision making.
Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making.
Business Metrics Identification: Identify and analyze key business metrics, offering strategic insights. Recommend product features based on the identified metrics to enhance overall product functionality.
Cross-Functional Collaboration: Collaborate seamlessly with Engineering, Product, and Operations teams to conceptualise, design, and construct data reporting and analytical systems.
Ideation and Analysis: Generate ideas for exploratory analysis, actively shaping the trajectory of future projects. Provide insightful recommendations for strategic actions based on data-driven insights.
Rapid Prototyping and Product Discussions: Drive the rapid prototyping of solutions, actively participating in discussions related to product and feature development
Skills
Bachelor s/Master s degree in engineering
In-depth expertise in SQL and Python programming.
Exceptional quantitative and problem-solving skills
Good command over analytical and visualization tools like Tableau, Metabase etc.
Basic Knowledge of Data Modeling, ETL Process, statistical and ML techniques such as classification, linear regression modelling, clustering and decision trees, etc.
At least 4 years of experience in working on data, especially on reporting, data analysis
Ability to work with cross-functional and dependent teams, think and own on delivering end to end.
Excellent problem-solving skills and ability to work independently or as part of a team.
Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
