Data Engineer

Title: Data Engineer
Location: Denver or Austin, TX
Contract: Long Term

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