Manager- Business Intelligence & Data Science (Gurugram)

Manager- Business Intelligence & Data Science (Gurugram)

04 Aug
|
Mastercard
|
Gurugram

04 Aug

Mastercard

Gurugram

Product Data & Analytics Team

Manager – Business Intelligence & Data Science

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 BI and Self Service solutions on large volumes of data in order to support analytics and reporting needs across products, markets and services.
- Lead cross-functional projects using advanced analysis techniques to enable data for insights that will guide strategic decisions and uncover optimization opportunities.
- Build, develop and maintain data models, robust data warehouses, data marts, and BI solutions to support key business decisions
- Translate business requirements into tangible technical solution specifications and high quality, on time deliverables.
- Select and integrate BI tools, platforms, and technologies (e.g., Fabric, Databricks, Snowflake, SQL Server, Tableau, Power BI).
- Effectively use tools to manipulate large-scale databases, synthesizing data insights.
- Apply quality control, data validation, and cleansing processes to new and existing data sources.
- Recruit, train,



develop and supervise data engineer & analyst-level employees.

All About You

- Financial Institution or a Payments experience a plus
- Experience in building semantic models, self service BI & analytics solutions.
- Experience in story telling through data, designing and building data visualizations and dashboards.
- Proficiency in SQL and BI platforms such as Tableau, Power BI, or QlikView.
- Experience in enabling conversational AI and data agents for business teams
- Advanced SQL skills, ability to write optimized queries for large data sets (Big data)
- Experience on Platforms/Environments: Databricks, MS Fabric, Cloudera Hadoop, Big data technology stack and SQL Server
- Experience with cloud platforms such as AWS or Azure.
- Experience with Pyspark, Python and Hive.
- Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
- Excellent problem solving, quantitative and analytical skills
- In depth technical knowledge, drive and ability to learn current technologies
- Experience presenting data findings in a readable and insight driven format. Experience building support decks.
- 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

📌 Manager- Business Intelligence & Data Science (Gurugram)
🏢 Mastercard
📍 Gurugram

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