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Tier-1 brand, metro locations, mid-level generalist data role with broad stack increases applicant competition.
Core data engineering skills transfer across industries, though financial-services domain experience moderately increases fit sensitivity.
Explicit 3+ years, required data engineering experience and specific tech stack create strict shortlisting filters.
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Analyze large datasets to generate insights for strategic client decisions within the FinLab team.
Develop and implement AI-enabled custom software tools in collaboration with client teams across projects.
Advocate and guide on data analytics strategies ensuring impactful, synergistic solutions across practices and technical groups.
Bachelor's or advanced degree in engineering, computer science, statistics, or data science; master's preferred.
Minimum 3 years professional experience as a data analyst or data engineer.
Proficient in Python and SQL for building scalable, production-ready analytical solutions.
Experience with Microsoft Fabric, Tableau, Power BI, Databricks, and modern analytics frameworks like Kedro.
Experienced in delivering end-to-end analytics solutions covering data engineering, BI, advanced analytics, visualization, and AI.
Skilled collaborator with cross-functional teams including engineers, designers, and business stakeholders to achieve client impact.
Capable of translating complex business problems into scalable analytical solutions and communicating insights to technical and non-technical audiences.