Data Quality Assurance Specialist

hace 1 semana

San José, San José, Costa Rica Catalina Marketing A tiempo completo

About Catalina

Catalina Marketing's personalized digital media connects shoppers to the brands they want. We achieve this by delivering relevant ads and offers from their home to the aisle, leveraging our extensive shopper purchase history database across our networks.

We target consumers with behavior-based messages when it's most impactful via the channel that's most likely to reach them — digital or in-store. Our goal is to drive lift and loyalty for leading retailers and consumer packaged goods (CPG) brands.

Job Overview

Catalina seeks a Data Quality Assurance Specialist to analyze data, identify, and resolve data quality issues, ensuring high standards of data accuracy and completeness. This role involves integrating consumer and third-party data using Python, SQL, and Databricks, creating reports and dashboards to monitor data quality, troubleshooting and resolving issues, and collaborating with stakeholders to improve data quality processes.

The successful candidate will manage data integrations, develop improvement plans for data sources, and foster partnerships to align data quality priorities across the enterprise.

Key Responsibilities

  • Analyze data to identify and quantify data quality issues and provide insights and recommendations to maintain high data quality standards.
  • Utilize Python and Databricks to integrate consumer and 3rd party data, ensuring data accuracy and completeness, and resolving data quality issues.
  • Create standard and customized reports and dashboards to monitor and report on data quality, completeness, and accuracy, providing insights to improve data quality processes.
  • Use automation tools to cleanse consumer and 3rd party data, ensuring complete and accurate data sets are available for integration, and collaborate with data science and analytics teams to facilitate effective model development and analysis.
  • Execute creating universal household IDs by leveraging data from various sources, ensuring data accuracy, completeness, and consistency, to fuel audience and measurement solutions.
  • Manage data integrations by defining data requirements, onboarding data sources, managing SLAs, logging data, and performing quality checks to ensure a seamless and high-quality client experience.
  • Troubleshoot and resolve issues in a timely manner, leveraging analytical skills and technical expertise to maximize data quality and integrity.
  • Develop a data operations maturity assessment plan for assigned data sources, evaluating the current state of third-party and client data onboarding and monitoring, and identifying areas for improvement.
  • Foster strong partnerships and enhance collaboration with key stakeholders to align data quality priorities and promote effectiveness across the enterprise.
  • Develop improvement plans for assigned data sources, including timelines and recommendations for needed tools, skills, and resources to improve data quality.
  • Manage and execute improvement plans for assigned data sources, enhancing data monitoring, maximizing data usage, and optimizing data quality.
  • Maintain detailed documentation, including project documents, workflows, processes, data dictionary, and technical specifications to ensure accurate tracking and reporting of data quality improvement efforts.
  • Collaborate with Data Governance teams and stakeholders to ensure adherence to data policies and promote a culture of data-driven decision-making.

Requirements

  • Bachelor's degree in a quantitative field such as Computer Science, Data Science, Mathematics, or Statistics.
  • At least 2 years of experience in data quality analysis, integration, and management.
  • Proficient in Python and SQL for data manipulation and analysis, with experience using Databricks for data integration and resolving data quality issues.
  • Working knowledge of data management platforms (DMPs) and related technologies, including ETL processes, Databricks, Azure, Snowflake, etc.
  • Experience in developing standard and customized reports and dashboards to monitor and report on data quality, completeness, and accuracy.
  • Strong analytical skills and technical expertise to troubleshoot and resolve issues in a timely manner.
  • Experience in creating and executing improvement plans for data quality, including identifying areas for improvement and recommending needed tools, skills, and resources.
  • Experience in managing and executing improvement plans for assigned data sources to enhance data monitoring, maximize data usage, and optimize data quality.
  • Ability to maintain detailed documentation and track data quality improvement efforts.
  • Excellent communication and interpersonal skills to foster strong partnerships and enhance collaboration with key stakeholders across the enterprise.
  • Experience working with data governance teams to ensure adherence to data policies.

About You

To succeed in this role, you should possess a strong foundation in data quality principles, data integration, and data analysis. You should be proficient in Python, SQL, and Databricks, with experience in developing and implementing data quality improvements. Excellent communication and collaboration skills are essential for fostering strong partnerships with stakeholders across the enterprise.

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