IC3 - Data Quality Analyst
SILMC - SERVICIOS INTEGRADOS DE LEALTAD, MERCADOTECNIA Y COMUNICACIÓN, S.A.P.I. DE C.V.
Digital@FEMSA
FEMSA es una empresa que genera valor económico y social por medio de empresas e instituciones y busca ser el mejor empleador y vecino de las comunidades en donde tiene presencia.Spin is FEMSA’s business unit that enriches and simplifies people's lives. It is an ecosystem of financial and digital solutions that creates added value by helping our users and communities make the most of their time and money. The Spin ecosystem consists of simple, agile, and accessible solutions that help our customers address everyday needs and receive rewards for doing so; such as the digital wallet, Spin by OXXO, the loyalty program, Spin Premia, and Spin Negocios, which offers various solutions for businesses, including NetPay and OXXO PAY
Objective of the Role
Implement, manage, and maintain the data quality of SPIN to enable teams to provide reliable, consistent, complete, accurate, and timely data. This ensures that high-quality information is available for each of our internal and external clients while complying with necessary laws and regulations
Main Responsibilities
- Ensure high data quality by implementing and analyzing business rules and validation and/or data profiling to trigger corrective, enriching, and data cleaning actions.
- Accelerate the implementation of data transformation and quality processes by defining the guidelines to be utilized during the data's passage through end to end workflow
- Actively participate in defining and planning best practices related to data quality in data processes, focusing primarily on cleaning, deduplication, and data enrichment operations.
- Participate in the optimize workflows and interactions that promote good communication among departments, eliminating data silos that encourage data sharing, ensuring that ingestion and analysis do not occur in isolation.
- Comply with security and data protection guidelines mitigating potential risks and ensure the use of data in accordance with established regulations.
- Define end-to-end test scenarios by analyzing various scenarios within business use cases to verify data integrity.
- Analyze data mapping, equivalence relationships, process mapping, and data flow diagrams to implement controls that maintain record integrity.
- Ensure quality control of data for all products from ingestion.
- Collaborate with Data Owners and business end users in validating complex data and business rules that foster collaboration between systems and applications.
- Define and implement data quality metrics that drive actions and/or collaborative campaigns aimed at achieving substantial enrichment of missing data.
- Ensure correct mapping of fields during data migration processes to guarantee that migrating data complies with previously established standards and rules.
- Support Data Stewards in identifying cross-functional data standards to harmonize best practices.
- Ensure documentation of all artifacts where data quality is applied.
- Provide critical information and quality measurement reports to Data Owners and Data teams, driving necessary dialogues and actions to enhance data quality.
- Define and ensure the necessary controls to maintain data quality throughout the entire data lifecycle.
- Optimize workflows and interactions that promote good communication among departments, eliminating data silos that encourage data sharing, ensuring that ingestion and analysis do not occur in isolation.
- Supervise and comply with security and data protection guidelines to detect potential risks and ensure the use of data in accordance with established regulations.
- Ensure uniqueness by automating and implementing controls that facilitate the planning of detection, correction, and improvement procedures to enhance data quality from its origin.
- Propose best practices that strengthen frameworks and/or ways of working that align and optimize data processes.
- Safeguard data documentation regarding policies, rules, and standards.
- Ability to resolve difficult situations and/or decisions and foster consensus through a diplomatic approach.
- Examine and evaluate, in conjunction with the Data Quality Lead, the status of the assigned project and/or requirements, including identifying risks, implementing controls, executing profiling, documenting, and potential issues that need to be escalated or changed, and propose solutions to project leaders.
- Promote an autonomous work culture by encouraging self-management, accountability, and proactive problem-solving among team members.
- Serve as a Spin Culture Ambassador to foster and maintain a positive, inclusive, and dynamic work environment that aligns with the company's values and culture.
Required Knowledge and Experience
(Must):
- Data Quality Management (3+ years of experience).
- Experience in data cleaning, normalization, and enrichment.
- Experience using and/or implementing at least 2 data quality/profiling tools.
- Knowledge of functionality, data flows, monitoring, and quality reporting.
- Knowledge of the Data Ingestion Process (2+ years of experience).
- Project Management / Experience leading teams directly or indirectly (3+ years of experience).
- Advanced knowledge of a data visualization tool (Tableau, Looker, Power BI) (3+ years of experience).
- Experience in Data Migration (at least 2 migration processes).
- Master Data Management (3+ years of experience).
- Knowledge of Database, SQL, and Data Warehouse/Database & DWH Design (2+ years of experience).
- Familiarity with DAMA or TDWI Data Governance methodology.
- Understanding of Business Processes and Business Rules and requirements of critical data elements.
- Understanding of implementation of Policies and Controls.
- Ability to think beyond the current state (processes, roles, and tools) and work toward an organizational-level data quality design.
- Customer Focus.
- Drive for Results.
- Ability to escalate difficult situations and/or decisions.
- Organizational Agility.
- Effective Communication.
- Resilience.
- Analytical Thinking and Attention to Detail.
- Agility and Proactivity.
- Time Management.
Nice to have:
- Data Privacy & Compliance.
- Certification in DAMA or TDWI Data Governance methodology
- Experience in documenting Business Processes and Business Rules
- Experience in documenting Policies and Control
- Ability to translate business and/or technical requirements into critical data dependencies and requirements.
- Strong communication skills / ability to persuade and influence others at all levels of the organization, and the ability to foster lasting partnerships.
- Knowledge of cloud platforms such as AWS, GCP, or Azure.
Spin está comprometida con un lugar de trabajo diverso e inclusivo.
Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida.
Si desea solicitar una adaptación, notifique a su Reclutador.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Data governance Data management Data quality Data visualization Data warehouse GCP Looker Power BI Privacy Security SQL Tableau
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