Data Engineer

Job Code : EWC - 1357

Requirement:

·        Bachelor's degree in Statistics, Computer Science, Data Science, or related quantitative field 3-5+ years of experience in business intelligence related roles and at least 2+ years spent as a BI Engineer Proficient with business intelligence platforms,

·        Understand business requirements and translate them into consumable and governed solutions Capture data to design KPIs and visualization for different audiences across the enterprise.

·        In-depth knowledge of Power BI, including data modeling, DAX expressions, and Power Query.

·        Experience in designing and implementing data visualizations, such as charts, graphs, and maps, to present complex data in a user-friendly manner Familiarity with data warehousing concepts and best practices.

·        Proficiency in writing complex SQL queries, preferably in Snowflake, for data extraction, manipulation, and optimization.

·        Collaborate with key stakeholders to deliver on their data and analytics needs by producing live dashboards and/or reporting with a focus on Self-Service Enablement Maintain access controls to BI and Analytics Platforms, Reports, and Dashboards to ensure sensitive information is restricted.

·        Power BI Experience working with stakeholders to gather requirements Expert in SQL and experience with databases such as Snowflake Proficient in concepts and implementation in developing reports, Dashboard, self-service BI, and visualizations AI/ML experience within Power BI

·        Previous experience with Tableau is nice to have related to BI and Analytics Financial industry is a plus.

·        Build the North Star metrics and models that orient the overall business and our product pods.

·        Build and maintain automated forecasting models from the bottom up, including diff to actuals and explanatory models.

·        Build anomaly detection routines that detect risks to growth at all margins.

·        Proven experience as a Power BI Developer, with a strong background in developing interactive dashboards and reports.

·        Strong analytical and problem-solving skills with a keen attention to detail

·        Excellent communication and collaboration abilities to work effectively with stakeholders of various technical backgrounds.

·        Ability to work independently and manage multiple priorities in a fast-paced environment.

·        you will work with big data sets to build forecasts, attribution models, content and engagement value models, user journeys, retention/churn models, and more.

·        Come up with quick hypotheses to diagnose and explain trends in our growth.

·        Propose strategic initiatives and goals, and perform ad-hoc analysis, to help our functional partners to achieve their goals and drive growth.

·        Effectively communicate with people in all disciplines and levels, including the C-suite

·        Deep understanding of time series, predictive / statistical modeling, ML, and probabilistic models