Lead I - Data Engineering

Role Description JD : At least 6+ years of experience developing reports in QLIK and Sigma platform Good experience in BI tools Proficiency With Sigma Development Techniques Including Data Models Advanced data modeling Workbooks Experience with Actions Advanced visualization skills Proficiency with SQL is Plus Key Responsibilities Partner with business stakeholders to understand analytical requirements and translate them into data models, dashboards, and reports Develop and maintain solutions using BI platforms (Qlik, SIgma); ensure usability, performance, and governance Perform exploratory data analysis to identify trends, patterns, and insights; deliver actionable recommendations to business leaders, especially around cloud infrastructure and platform costs, performance and savings opportunities Build and maintain metrics, KPIs, and business intelligence dashboards; ensure accuracy, consistency, and alignment with business definitions Collaborate with Data Engineers to define data requirements, data quality standards, and pipeline SLAs; provide feedback on data availability and usability Document data models, analytical methodologies, and reporting logic; contribute to team knowledge base and best practices Leverage GenAI tools to accelerate SQL development, analysis, and insight generation Support ad-hoc analytical requests and business intelligence initiatives Continuously improve analytics workflows and reduce manual reporting toil through automation Requirements 6+ years in analytics engineering, data analytics, business intelligence, or quantitative analysis roles Expert-level SQL skills; ability to write complex queries, optimize performance, and work with large datasets Strong experience with data modeling for analytics: dimensional modeling, star schema, data mart design Proficiency with BI and visualization tools (Sigma and Quick); ability to design intuitive, impactful dashboards Analytical mindset with strong business acumen; ability to translate business questions into data analysis Excellent communication and storytelling skills; ability to present findings to non-technical audiences Strong collaboration and stakeholder management skills; customer service orientation Proactive approach to identifying repetitive analytical tasks; ship automation that measurably reduces manual reporting effort and accelerates insight delivery Background in financial services, capital markets, or investment banking analytics Skills qlik,sigma,sql,data modelling, Role Description JD : At least 6+ years of experience developing reports in QLIK and Sigma platform Good experience in BI tools Proficiency With Sigma Development Techniques Including Data Models Advanced data modeling Workbooks Experience with Actions Advanced visualization skills Proficiency with SQL is Plus Key Responsibilities Partner with business stakeholders to understand analytical requirements and translate them into data models, dashboards, and reports Develop and maintain solutions using BI platforms (Qlik, SIgma); ensure usability, performance, and governance Perform exploratory data analysis to identify trends, patterns, and insights; deliver actionable recommendations to business leaders, especially around cloud infrastructure and platform costs, performance and savings opportunities Build and maintain metrics, KPIs, and business intelligence dashboards; ensure accuracy, consistency, and alignment with business definitions Collaborate with Data Engineers to define data requirements, data quality standards, and pipeline SLAs; provide feedback on data availability and usability Document data models, analytical methodologies, and reporting logic; contribute to team knowledge base and best practices Leverage GenAI tools to accelerate SQL development, analysis, and insight generation Support ad-hoc analytical requests and business intelligence initiatives Continuously improve analytics workflows and reduce manual reporting toil through automation Requirements 6+ years in analytics engineering, data analytics, business intelligence, or quantitative analysis roles Expert-level SQL skills; ability to write complex queries, optimize performance, and work with large datasets Strong experience with data modeling for analytics: dimensional modeling, star schema, data mart design Proficiency with BI and visualization tools (Sigma and Quick); ability to design intuitive, impactful dashboards Analytical mindset with strong business acumen; ability to translate business questions into data analysis Excellent communication and storytelling skills; ability to present findings to non-technical audiences Strong collaboration and stakeholder management skills; customer service orientation Proactive approach to identifying repetitive analytical tasks; ship automation that measurably reduces manual reporting effort and accelerates insight delivery Background in financial services, capital markets, or investment banking analyt