Dynamic Yield, a Mastercard company, is seeking an Associate Analyst - Product Data & Analytics to join our dynamic global team. The Product Data & Analytics team builds internal analytic partnerships, focusing on business health, portfolio and revenue optimization, initiative tracking, and new product development/Go-To-Market strategies. We are a hands-on global team of analytics engineers, data architects, BI developers, data analysts, and data scientists, fully managing our own data assets and solutions to provide scalable end-to-end data solutions.
If you're passionate about the value of data assets, an evangelist for data-driven decision-making, and motivated to build large-scale analytical capabilities supporting users across six continents, this role is for you. The ideal candidate has a knack for seeing solutions in sprawling datasets and the business acumen to convert insights into strategic opportunities for our company.
Role and Responsibilities
As an Associate Analyst - Product Data & Analytics, you will:
- Data Platform Development: Be part of a strategic initiative to create a Single Source of Truth (SSOT) data platform for all transactional data assets within the organization.
- Data Model Design: Work alongside analytics engineers, data analysts, and data engineers to evaluate current use cases, define the data platform design including the logical/conceptual data model, data mappings, and other platform documentation.
- Collaboration & Build: Collaborate with data architects and data engineers to ensure platform build, and be responsible for User Acceptance Testing (UAT) before implementation.
- Requirements & Design: Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models.
- Data Ownership: Serve as the Directly Responsible Individual (DRI) for major sections of the platform's logical/conceptual data model.
- Documentation: Define data mappings, data dictionaries, data quality, and UAT documentation.
- Data Catalog: Maintain the Data Catalog, a scalable resource to support Self-Service and Single-Source-of-Truth analytics.
- Technical Specifications: Translate business requirements into tangible technical solution specifications and high-quality, on-time deliverables.
- Data Manipulation & Quality: 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.
- DataOps & Code Standards: Implement the DataOps philosophy in all your work. 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.
- Cross-functional Collaboration: Collaborate with cross-functional teams, external vendor teams, and technology suppliers to ensure the delivery of high-quality services.
All About You
- Experience: 2+ years of experience in data analysis, data mining, data analytics, data reporting, and data product development.
- Industry Knowledge (Plus): Financial Institution or Payments experience is a plus.
- Proactive & Driven: Proactive self-starter, actively seeking initiatives to advance.
- Data Architecture: Understanding of Data architecture and some experience in building logical/conceptual data models or creating data mapping documentation.
- Data Quality: Experience with data validation, quality control, and cleansing processes for new and existing data sources.
- SQL Skills: Advanced SQL skills, with the ability to write optimized queries for large datasets.
- Platforms/Environments: Experience on Platforms/Environments such as Cloudera Hadoop, Big Data technology stack, SQL Server, Microsoft BI Stack, Cloud.
- Programming Exposure (Plus): Exposure to Python, Scala, Spark, Cloud, and other related technologies is a plus.
- Data Visualization (Plus): Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus.
- Problem Solving: Excellent problem-solving, quantitative, and analytical skills.
- Technical Aptitude: In-depth technical knowledge, drive, and the ability to learn new technologies.
- Detail & Quality: Strong attention to detail and quality.
- Teamwork & Communication: Strong team player with excellent communication skills.
- Interpersonal Skills: Must be able to interact effectively with management and internal stakeholders to collect requirements.
- Adaptability: Must be able to perform effectively in a team, use sound judgment, and operate under ambiguity.
