Snr Analytics Engineer
Our StoryAt Alight, we believe a company’s success starts with its people. Alight embraces values that come directly from our people – purposeful, human, united and growth-minded – reflecting our inclusive culture and promise that our clients expect. We are passionate about connecting purpose with impact. Alight empowers clients to build a healthier and more financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, navigation, and absence management.Our BenefitsWith a comprehensive total rewards package, Alight offers programs and plans that support your mind, body, wallet, and life. Benefits include health, dental and vision coverages starting Day One. Additionally, Alight colleagues enjoy wellbeing programs, retirement plans with contribution matching, generous time off, parental leave, continuing education, and career growth opportunities – all within a thriving global organization.Flexible WorkingSo that you can be your best at work and home, we consider flexible working arrangements wherever possible. Alight has been a leader in the flexible workspace and “Top 100 Company for Remote Jobs” 6 years in a row. Great Place to WorkThanks to the work of every colleague, Alight has received multiple awards of recognition including “Great Place to Work” for the past 7 years and Fortune’s “Best Companies to Work For.” To learn more about our company culture and awards Click Here.We invite you to join our team! Learn more at careers.alight.comJD – Analytics Senior Software EngineerExperience & Expectations :Leverage extensive experience (5 to 8 years overall Analytics experience).We are seeking a hands-on Analytics Senior Engineer to bridge the gap between Data Engineering and Business Analytics within the Alight ecosystem. The role focuses on designing robust analytics datasets, mentoring junior engineers, and driving BI solutions with a strong focus on performance, scalability, and governanceThe ideal candidate will work closely with Data Engineers, BI teams, and Product stakeholders to build robust semantic models, and support enterprise analytics platforms.1. Data ModellingDesign enterprise-grade data modelsOwn semantic layer architectureStandardize KPIs and business metricsEnsure consistency, reusability, and scalability of data models2. Analytics Engineering Work alongside Data Engineers to understand the ETL/ELT pipelines3. BI & Reporting EnablementBuild and optimize complex reports & dashboardsDefine data model strategiesHandle large-scale analytical workloadsDesign and optimize datasets for BI tools (AWS QuickSight, Tableau, Power BI)Partner with BI developers to build dashboards, KPIs, and analytical reportsSupport ad-hoc analytics and business use cases4. Data Quality, Governance & SecurityImplement advanced RLS/CLS modelsDefine best practices for BI and data usage5. Performance OptimizationTune complex SQL transformationsMinimize dashboard latency and costEnsure efficien...