Senior Analyst, Data Strategy Job Listing at Mastercard in Prague (Job ID R-243326)

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 Analyst, Data Strategy Overview

In the role of Senior Analyst, Data Strategy, the selected candidate will be responsible for defining and executing on data management strategies across multiple data driven products within the Economics and Locations Insights program. Introduce best practices that ensure accuracy, consistency, and compliance of our data solutions within the program and externally across industries and regions we support. The selected candidate will work closely (will be the lead) with stakeholders across the organization to address data quality concerns, optimize data workflows, and improve the design of our data solutions from a data architecture and deployment perspective. The role will be key in driving data-driven decisions by ensuring that data is reliable, accessible, and structured in a way that aligns with business objectives.

Role

Data Quality Strategy: Define and implement best practices for data quality management, including processes for identifying, tracking, and resolving data quality issues across the organization.

Data Compliance: Work closely with compliance and security teams to ensure that data governance standards are met, and ensure adherence to relevant regulatory requirements (e.g., GDPR, CCPA).

Data Strategy and Process Improvement: Lead the development and execution of data strategies and processes aimed at producing more accurate, consistent, and reliable data-driven solutions.

Data Architecture and Schema Design: Collaborate with data engineering and architecture teams to define and optimize data architecture and schema design, ensuring scalability, performance, and consistency across the organization's data systems.

Data Remediation: Lead efforts to remediate data quality issues, applying techniques such as data profiling, cleansing, and validation to improve data accuracy and consistency.

Stakeholder Collaboration: Work closely with business analysts, product teams, and IT to understand data needs and translate them into actionable data solutions that drive business decisions.

Reporting and Analysis: Develop and maintain reporting and dashboards that track data quality metrics, progress on data quality initiatives, and the overall health of data management processes.

Training and Education: Provide guidance and training to teams on data governance, data quality best practices, and effective use of database tools.

Continuous Improvement: Stay up-to-date on emerging data trends, technologies, and best practices to continuously improve data strategies and solutions.

Required Skills and Qualifications:

5+ years of experience in data management, data analysis, or a similar data-driven role, with a strong understanding of database systems and architecture.
Proven experience in defining and implementing data quality strategies, processes, and remediation practices.
Expertise in data compliance, including knowledge of regulatory standards such as GDPR, CCPA, and other data privacy laws.
In-depth knowledge of database tools and technologies (e.g., SQL, NoSQL, ETL tools, data warehousing platforms).
Experience with data architecture and schema design, ensuring optimal structure for storing and processing large volumes of data.
Strong analytical skills and experience working with complex data sets to identify trends, issues, and areas for improvement.
Ability to develop and implement data governance frameworks, including data stewardship, data lineage, and metadata management.
Familiarity with cloud data platforms (e.g., DataBricks, Azure, AWS...) and big data technologies (e.g., Hadoop, Spark) is a plus.
Experience with data visualization and reporting tools (e.g., Power BI, Tableau...) to communicate data quality metrics and insights.
Excellent communication skills, with the ability to explain complex data concepts to both technical and non-technical stakeholders.
Strong problem-solving abilities, attention to detail, and the ability to manage multiple initiatives in a fast-paced environment.

Preferred Qualifications:
Certification in data management, data governance, or a related field (e.g., DAMA, CDMP).
Experience with machine learning or AI models applied to data quality or data strategy is a plus.
Familiarity with data integration and data pipeline management in enterprise environments.
Knowledge of data security practices and techniques to ensure the protection of sensitive information.

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.

 Apply on company website