Tagcor

Data Engineer

DATA Engineer 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