Posted:6 days ago|
Platform:
Work from Office
Full Time
The Services Portfolio Management team is looking for a Senior Analyst, Big Data Analytics & Engineering to build a new product that will serve actionable insights to all Programs under Mastercard Services Portfolio. The ideal candidate should have a proven ability to analyze large data sets and effectively communicate their findings. They must have prior experience in product development, be highly motivated, innovative, intellectually curious, analytical, and possess an entrepreneurial mindset. Role Build a solution stack for a dashboard including front end in PowerBI/Tableau, data integrations, database models, ETL jobs, etc Identify opportunities to introduce Automation and AI tools into workflows. Translate product requirements into tangible technical solution specifications and high quality, on time deliverables. Partner with other automation specialists across Services I&E to learn and build best practices for building and running the Portfolio Cockpit tool. Identify gaps and conceptualize new product/platform capabilities as required. Proactively identify automation opportunities All About You Experience with data analysis, with a background in building KPIs and reporting. PowerBI experience preferred or other reporting tools like Tableau, DOMO. Experience with PowerApps or other No/Low-code app development tools is a plus Experience in systems analysis and application design and development. Ability to deliver technology products/services in a high growth environment where priorities change rapidly. Proactive self-starter seeking initiatives for advancement. Understanding of data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control, and cleansing processes for new and existing data sources. Strong problem-solving, quantitative, and analytical skills. Advanced SQL skills, ability to write optimized queries for large data sets. Exposure to Python, Scala, Spark, Cloud, and other related technologies is advantageous. In-depth technical knowledge, and ability to learn new technologies. Attention to detail and quality. Team player with effective communication skills. Must be able to interact with management, internal stakeholders, and collect requirements. Must be able to perform in a team, use judgment, and operate under ambiguity. Experience in leveraging generative AI tools to enhance day-to-day tasks is beneficial.
Mastercard
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