Associate Analyst - Product Data & Analytics Job Openings in Gurgaon 2025!!!
Mastercard announced job vacancy for the post of Associate Analyst - Product Data & Analytics. The place of posting will be at Gurgaon. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Name of the Company |
Mastercard |
Required Qualifications |
Graduate |
Skills |
Data analysis, data mining, data analytics,
data reporting and data product development |
Category |
Software Engineering |
Work Type |
Onsite |
The
Associate Analyst will be part of a strategic initiative to create a SSOT data
platform for all transactional data assets within the organization. He/She will
work alongside a team of analytics engineers, data analysts, data engineers to
evaluate the current use cases across the organization, define the data
platform design including the logical/conceptual data model, data mappings, and
other platform documentation, collaborate with the data architects, data
engineers to ensure platform build and will be responsible for the UAT before
implementation.
Θ Positions: Associate
Analyst - Product Data & Analytics
Θ Job
Location:
Gurgaon
Θ Salary: As Per Company
Norms
Θ Job Type: Full Time
Θ Requisition
ID: R-245985
Roles and
Responsibilities:
- Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models.
- Serve as the Directly Responsible Individual for major sections of the platform logical/conceptual data model.
- Define data mappings, data dictionaries, data quality and UAT documentation.
- Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics.
- Translate business requirements into tangible technical solution specifications and high quality, on time deliverables.
- 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.
- Implement the DataOps philosophy in everything you do.
- Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review.
- Collaborate with cross-functional teams, external vendors teams and technology suppliers to ensure delivery of high-quality services.
Required
Skills & Qualifications:
- 6 months to 1 years’ experience in data analysis, data mining, data analytics, data reporting and data product development.
- Financial Institution or a Payments experience a plus.
- Proactive self-starter seeking initiatives to advance.
- 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 to new and existing data sources.
- Advanced SQL skills, ability to write optimized queries for large data sets.
- Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud.
- Exposure to Python, Scala, Spark, Cloud and other related technologies a plus.
- Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is 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.
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