Manager- Business Intelligence & Data Science

Mastercard · India

Job Description

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 new 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