Analyst at Mastercard

Short Description:

The People Analytics Analyst role at Mastercard Pune involves providing data-driven talent decisions by leveraging analytics, project management, and cloud migration experience within a global team. Responsibilities include collaborating on scalable reporting solutions, Tableau dashboard development, and enhancing analytical consistency. Ideal candidates possess workforce data expertise, Tableau and Alteryx proficiency, and skills in data preparation, SQL, programming languages like R/Python, along with a keen problem-solving mindset and communication skills.

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Job Title: People Analytics Analyst

Location: Pune, India

Employment Type: Full Time

Job Requisition ID: R-208619

Our Mission

We strive to foster an inclusive, digital economy that benefits everyone, everywhere. Our commitment is to ensure secure, simple, smart, and accessible transactions. Through the use of secure data, strategic partnerships, and unwavering passion, our innovations empower individuals, financial institutions, governments, and businesses to realize their full potential. Rooted in our decency quotient (DQ), we uphold a culture of inclusivity that values the unique strengths, perspectives, and experiences of every employee. We firmly believe that our diversity enhances our ability to function as a cohesive team, driving better decision-making, innovation, and overall business success.

Position Overview

The People Analytics Analyst will join the Global People Operations and Insights team at Mastercard, providing comprehensive data, analytics, operational, and strategic decision support across various business units and regions. This role requires a candidate with a background in analytics, project management, and cloud migration experience, dedicated to facilitating data-driven talent decisions at Mastercard. Successful candidates will possess a keen eye for detail, a focus on execution, and a track record of identifying opportunities to enhance analytical consistency and scalability within a matrixed organization.

Key Responsibilities

• Collaborate closely with Senior Data Analysts within the broader People Operations and Insights team to identify opportunities for scalable reporting solutions and visualizations.
• Develop Tableau dashboards and reports following best visualization practices to effectively communicate insights.
• Contribute to the creation of documents and presentations to communicate innovations, ideas, or discoveries.
• Strengthen a motivated, innovative, and productive team dedicated to creating next-generation analytics for Mastercard.
• Generate and implement ideas to continuously improve analytics and reporting services delivery.
• Understand the root query or challenge behind data requests and go beyond initial requests.
• Validate and ensure people data integrity in collaboration with Data Management and HR Systems teams.
• Take ownership of project management responsibilities, seeking guidance from senior team members to effectively manage the Technology team's workload at Mastercard.
• Demonstrate exceptional judgment and discretion when handling highly sensitive people data.
• Bring expertise in cloud migration, preferably in AWS.

Qualifications

Essential

• Experience working with organizational/workforce data.
• Ability to collaborate with peers and cross-functional teams across multiple time zones.
• Flexible and responsive, with the ability to adapt to rapid changes in direction or business priorities.
• Openness to feedback and strong self-awareness.
• Excellent verbal and written communication skills.
• Ability to work within the confines of data governance and privacy standards.
• Intellectual curiosity and enthusiasm to apply data to discover and solve business challenges and questions.
• Problem-solving mentality, resourcefulness, and creativity in identifying solutions.
• Strong interpersonal skills, with the ability to build professional relationships, influence, and negotiate.
• Proficiency in Alteryx and Tableau.
• Proficiency in data preparation/ETL.
• Knowledge of a programming language like R or Python.
• Strong knowledge of SQL, with the ability to write, execute, and optimize performance of complex queries.
• Expertise in information delivery and knowledge of data visualization techniques for preparing data discovery, operational, and executive dashboards.
• Experience developing complex reporting and analytics applications.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical stakeholders.

Desirable

• Experience working with data modeling tools.
• Experience with optimization models is a plus.
• Experience working in Cloud Platforms.
• Familiarity with Big Data technologies is a plus.
• Knowledge of advanced statistical techniques/machine learning algorithms and their application to real-world data.

Education

• Bachelor's degree in engineering, Analytics, Computer Science, Business, Psychology, Management, or a related discipline.

Please click here to apply.