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Tier-1 brand, metro location, mid-level generalist title and hybrid work drive high candidate competition.
Core SQL and analytics skills are transferable, but finance domain preference raises sensitivity to background.
Explicit 5-6 years plus mandatory SQL, BigQuery, Tableau/Python and finance domain increases shortlisting strictness.
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Lead strategic Finance analytics initiatives impacting operational efficiency and executive decision-making.
Analyze large complex datasets with SQL and BigQuery to generate actionable insights and identify trends or inefficiencies.
Collaborate cross-functionally to define business requirements and deliver analytical solutions that improve processes and reporting workflows.
Bachelor's degree in Engineering (BE/B.Tech) or equivalent.
5-6 years of experience in data analytics focused roles.
Expert-level SQL skills with experience on large datasets, preferably Oracle or BigQuery.
Proficiency in Tableau (preferred) or Power BI, Python or Object-Oriented programming, and advanced Excel modeling.
Experienced in Finance analytics or consulting/product companies with a strong analytical mindset.
Able to manage multiple priorities in a fast-paced environment and partner effectively with diverse Finance stakeholders.
Demonstrated track record of using data to influence business decisions and drive process improvements.