IC4 - Sr Data Quality Analyst

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 data validation and/or profiling to trigger corrective, enriching, and data cleaning actions. 

• Accelerate the implementation of data transformation and quality processes by defining the guidelines to be used during the data's passage through each layer in the data lake. 

• Actively participate in planning best practices related to data quality in data migration processes, focusing primarily on cleaning, deduplication, and data enrichment operations. 

• Define end-to-end test scenarios by analyzing different scenarios within business use cases to verify data integrity. 

• Define and perform data mapping, equivalence relationships, process mapping, and data flow diagrams to maintain record integrity. 

• Ensure quality control of data for all products from ingestion. 

• Lead Data Owners, Tech teams, and Business teams in validating complex data and business rules that enable collaboration between systems and applications. 

• Define and communicate data quality metrics that drive actions and/or collaborative campaigns aimed at achieving substantial enrichment of missing data. 

• Lead Data Owners in defining quality rules (Data Validations and Business Rules). 

• In data migration processes, ensure the correct mapping of fields to guarantee that migrating data complies with previously established standards and rules. 

• 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 its lifecycle. 

• Lead the optimization of workflows in applications and ensure consistency processes. 

• Promote good communication between departments by eliminating data silos, encouraging data sharing, and preventing ingestion and analysis from occurring in isolation. 

• Ensure collaboration with security and data protection teams in implementing controls to detect potential risks and ensure data usage complies with established regulations. 

• Ensure uniqueness by automating and implementing controls that allow planning for detection, correction, and improvement procedures to enhance data quality from its origin. 

• Lead efforts related to the documentation associated with data quality, standards, policies, processes, etc., from definition to execution, establishing compliance metrics that aid continuous improvement of data quality and governance. 

• Define, in collaboration with the business, frameworks and/or ways of working that align and optimize data processes. 

• Safeguard data documentation regarding policies, rules, and standards. 

• 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, documentation, and potential issues that need to be escalated or changed, while proposing solutions to project leaders. 

• Ability to resolve difficult situations and/or decisions and foster consensus through a diplomatic approach. 

• Ability to lead multiple stakeholders on the benefits of data quality. 

• Act as a mentor in resolving data quality issues with peers. 

• 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 

• Data Quality Management (5+ 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 (3+ years of experience). 

• Advanced knowledge of a data visualization tool (Tableau, Looker, Power BI) (5+ years of experience). 

• Experience in Data Migration (at least 2 migration processes). 

• Master Data Management (3+ years of experience). 

• Data Privacy and Compliance. 

• Knowledge of Database, SQL, and Data Warehouse/Database & DWH Design (3+ years of experience). 

• Familiarity with DAMA or TDWI Data Governance methodology. 

• Understanding of Business Processes and Business Rules. 

• Automation of Policies and Controls. 

• Strong leadership and communication skills with the ability to persuade/influence others at all levels of the organization and foster lasting partnerships. 

• Ability to translate business requirements into critical data dependencies and requirements. 

• Ability to think beyond the current state (processes, roles, and tools) and work towards 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. 

• Time Management. 

• Proactivity. 

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. 
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