Data Quality Analyst
ManilaFull-TimeMid-levelAnalyst
Important Information
- Location: HGC, Taguig
- Experience: 3 – 7 years
- Job Mode: Contract
- Work Mode: Hybrid
Job Summary
- As a Data Quality Analyst you will be responsible for analyzing data, implementing automation processes, and leveraging your knowledge of Angular technologies to enhance data analysis and reporting capabilities. You will play a crucial role in optimizing data workflows, streamlining data-driven processes, and contributing to data-driven decision-making .
Responsibilities and Duties
- Create detailed test cases that match business requirements to ensure data quality.
- Perform data quality checking for ad-hoc data extraction.
- Ability to test in a timely manner that meets SLA.
- Communicate with Data analyst and Project Management officer to gather and analyze requirements for test case creation.
- Support data analyst in peer reviewing data output before user’s acceptance (UAT).
- Maintain QA documentation/artifacts for future testing purposes.
- Perform data testing of outputs made by data analysts to ensure quality using SQL.
- Ability to work cohesively in a team type environment.
- Attend daily stand-ups for team updates and work progress
Qualifications and Skills
- Experience in Quality Assurance (qa testing, terminologies, methodologies, concepts)
- Experience working with SQL required
- Experience in Google Data Studio, Google Sheets, Excel required
- Experience in Google BigQuery, Tableau, Power BI, Metabase, DaaS preferred
- Experience in Hadoop or Big Data technologies preferred Experience in JIRA and Confluence preferred
- Minimum 3-5 years related experience
About Encora
- Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
