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Tier-1 brand, metro location, mid-level generalist product role, and broad analytics skillset increase competition.
Core BI, SQL and product skills transfer across industries, but payments/transaction-data domain knowledge increases fit sensitivity.
Multiple mandatory analytics, BI and data engineering tool requirements imply rigorous technical and domain filtering.
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Develop, upgrade, and deliver scalable Business Intelligence products tailored to regional and diverse customer segments to drive business impact.
Identify trends and anomalies independently within data analysis, synthesize findings, and coordinate cross-functional teams to continuously enhance product usage and features.
Collaborate with Global Product Management to prioritize development efforts aligned with product strategy and build strong relationships with internal and external stakeholders to achieve product goals.
Undergraduate degree with experience in data and analytics related to business intelligence or descriptive, predictive, prescriptive analytics.
Experience with analytic tools such as SQL, Power BI, Tableau, and working knowledge of Hadoop framework and coding with Impala, Hive, or PySpark.
Ability to analyze large datasets and produce actionable insights through descriptive analytics and business intelligence.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building, managing, and maintaining database structures and scalable analytic products with end-to-end ownership.
Strategic mindset with ability to solve complex and ambiguous problems and translate client needs into product enhancements, especially within self-service analytics space.
Proficient in product management tools and approaches including market and product plans, project timelines, marketing research, pricing, and business case development.