Senior Specialist, Analytics & Metrics at Mastercard

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

0.0

Posted On

21 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality, Data Analysis, SQL, Python, Data Engineering, Automation, Data Visualization, Analytical Thinking, Documentation, Collaboration, Merchant Data, Data Operations, Data Cleansing, Monitoring Dashboards, Entity Resolution, Fuzzy Logic

Industry

IT Services and IT Consulting

Description

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 Senior Specialist, Analytics & Metrics Overview: Mastercard is seeking a highly analytical and detail-oriented Senior Data Quality Analyst to support the delivery of high-quality merchant data used across key product lines. Reporting to the Manager, Data Quality, this role plays a critical part in analyzing, validating, cleansing, and enriching Mastercard’s merchant data to ensure accuracy, consistency, and reliability at scale. This is a hands-on role for someone who enjoys solving data problems, identifying patterns, optimizing workflows, and working closely with engineering and product teams to improve merchant intelligence systems. What you will do: Data Quality Operations • Perform detailed analysis of merchant data to identify anomalies, inconsistencies, duplicates, or gaps. • Execute, create and enhance cleansing workflows, apply business rules, and create enriched datasets for product consumption. • Investigate and resolve data defects by tracing issues through ingestion pipelines and downstream transformations. • Validate data against defined quality standards and acceptance criteria established by the team and Business Stakeholders. Automation & Workflow Optimization • Support automation of manual data quality checks using SQL, Python, and Snowflake. • Collaborate with Data Engineering to build repeatable validation pipelines, rule engines, and automated scripts. • Develop monitoring dashboards and alerts to proactively detect emerging data quality issues. Cross-Functional Collaboration • Work closely with Data Engineering, Data Science, Product, and Client-facing teams to diagnose and fix data quality issues. • Provide analytical insights to support merchant clustering, matching, and cleansing initiatives. • Participate in reviews of new features, data model changes, and ingestion upgrades to ensure quality requirements are met. Documentation & Governance • Maintain clear and comprehensive documentation of data rules, workflows, exceptions, and known data behaviors. • Help define, refine, and enforce data quality standards, best practices, and procedural guidelines. • Contribute to metadata, lineage, and QA rule mapping for enhanced transparency and auditability. All About You: • Bachelor’s degree in Data Science, Analytics, Computer Science, Statistics, or equivalent field. • Experience in data quality, data analysis, or data operations roles. • Strong expertise in SQL (Snowflake preferred) and experience analyzing large datasets. • Solid experience with Python for data manipulation, automation, or scripting. • Strong analytical thinking with the ability to identify patterns, root causes, and recommended solutions. • Excellent communication skills with the ability to summarize complex data issues clearly. What sets you apart: • Experience working with merchant, payments, or financial data is a strong advantage. • Familiarity with AI/LLM-driven workflows for cleansing, matching, or enrichment. • Experience working with git, DBT, Airflow, or other modern data stack tools. • Understanding of entity resolution, clustering, string matching, or fuzzy logic techniques. • Experience with data visualization tools (e.g., Looker, Tableau, Power BI) for monitoring dashboards. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. 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.

Responsibilities

The Senior Specialist will analyze, validate, cleanse, and enrich merchant data to ensure its accuracy and reliability. This role involves collaborating with various teams to diagnose and resolve data quality issues.