Role at a glance
- Job function
-
AI & Data Data Analytics
- Salary
- Not Disclosed
- Location
- Gurgaon, India
- Employment
- Full-time
- Experience
- Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
- Education
- Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred
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Role Summary
The Product Data & Analytics team builds internal analytic partnerships focused on the health of the business, portfolio and revenue optimization, initiative tracking, new product development and Go-To Market strategies. This manager role leads advanced reporting, data modeling and analytics work across products, markets and services, working closely with global and regional teams.
What You'll Do
- Architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data with global and...
- Lead cross-functional projects using advanced data modeling and analysis techniques to guide strategic decisions and uncover...
- Build, develop and maintain data pipelines, data models, reporting systems, data automation systems, dashboards and performance metrics
- Translate business requirements into technical solution specifications and high quality, on-time deliverables
- Recruit, train, develop and supervise analyst-level employees
- Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor's or Master's degree in a technical or quantitative field with experience in data analytics, reporting, and data product development, plus advanced SQL and data modeling skills.
Required
- Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
- Experience presenting data findings in a readable and insight driven format and building support decks
- Advanced SQL skills and ability to write optimized queries for large data sets (Big data, Cloud)
- Experience building data models, ETL/data pipeline designs, and source target mappings
- Experience on platforms/environments: Cloudera Hadoop, Big data technology stack, Cloud, SQL Server
- Excellent problem solving, quantitative and analytical skills
- In depth technical knowledge, drive and ability to learn new technologies
- Strong attention to detail and quality
Preferred
- Financial institution or payments experience
- Experience with data visualization tools such as Looker, Tableau, PowerBI
- Experience with Python, R, Databricks
- M.S./M.B.A. degree
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Manager, Product Data & AnalyticsJob DescriptionProduct Data & Analytics Team
Manager – Product Data & Analytics
Overview
Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
• Are you excited about Data Assets and the value they brings to an organization?
• Are you an evangelist for data driven decision making?
• Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
• Do you want to be the go-to resource for data analytics in the company?
The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.
Role & Responsibilities
• Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support analytics and reporting needs across products, markets and services.
• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data pipelines, data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
• Translate business requirements into tangible technical solution specifications and high quality, on time deliverables.
• Create reusable processes to support development of ETL & data pipelines.
• Effectively use tools to manipulate large-scale databases, synthesizing data insights.
• Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint.
• Apply quality control, data validation, and cleansing processes to new and existing data sources.
• Recruit, train, develop and supervise analyst-level employees.
• Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
All About You
• Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
• Financial Institution or a Payments experience a plus
• Experience presenting data findings in a readable and insight driven format. Experience building support decks.
• Advanced SQL skills, ability to write optimized queries for large data sets (Big data, Cloud)
• Experience in building data models, ETL/ data pipeline designs, Source target mappings.
• Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, Cloud, SQL Server
• Experience with data visualization tools such as Looker, Tableau, PowerBI will be good to have.
• Experience with Python, R, Databricks a plus
• Excellent problem solving, quantitative and analytical skills
• In depth technical knowledge, drive and ability to learn new technologies
• Strong attention to detail and quality
• Team player, excellent 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
Education
• Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred
Additional Competencies
• Excellent English, quantitative, technical, and communication (oral/written) skills
• Analytical/Problem Solving
• Strong attention to detail and quality
• Creativity/Innovation
• Self-motivated, operates with a sense of urgency
• Project Management/Risk Mitigation
• Able to prioritize and perform multiple tasks simultaneously
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
About the company
Mastercard
Large Enterprise
Mastercard is a global technology company in the payments industry, committed to empowering individuals and businesses through secure and efficient payment solutions. With a presence in over 210 countries, Mastercard connects consumers, financial institutions, merchants, and governments, enabling seamless transactions across various platforms. The company is at the forefront of innovation, focusing on enhancing financial inclusion and expanding access to digital payment technologies. Through its advanced network and partnerships, Mastercard continues to revolutionize the way people engage in commerce worldwide.