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Our client is looking for a Data Analyst to join our digital data team to ensure that the data available as-a-service in global data warehouses meets business requirement, with the right quality for enabling enterprise data and analytics and insights initiatives. Maintains the data catalog and ensure compliance of data manipulation with industry standard practices. The bulk of the work covers partnering with data engineers, data scientists and product owners for data analysis and integration requirements and guiding solution design and architecture.
Tools
- Good knowledge of cloud computing. Knowing AWS is a plus
- SQL, Excel, PowerPoint, Word
- Tableau and Power BI for data exploration is plus
- ETL tools knowledge is plus
- Snowflake datamart knowledge is plus
- Project management & support: JIRA projects & service desk, Confluence, Teams
Skills
- Expert in Data manipulation techniques (esp. querying tables with SQL)
- Strong capacity to develop consistent, clear analysis and report potential issues
- Data quality audit techniques (Electronic Data Discovery)
- Expert in applications and product testing
- Familiarity with data science methods and scaling data science methods
Soft Skills
- Pragmatic and capable of solving complex issues
- Ability to understand business needs
- Good communication
- Service-oriented, flexible, positive team player
- Self-motivated, takes initiative
- Rigorous, attention to detail to map data systems
- Curious to understand what is behind each data field
Experience
- 3 to 5 years of experience as Business Analyst/QA Tester (performed data manipulation, data analysis, master data management, application/product testing)
- Experience in a healthcare company is a strong plus
Preferred Qualifications
Master’s Degree in Mathematics, Economics, Computer Science, Information Management or Statistics
Requirements
Responsibilities
- Understand business data requirements and translate them into technical needs, and deliver prompt, efficient, quality service
- Build and maintain the data model used in global data warehouses and solutions
- Define the concepts and attributes of the data and manage the data dictionary of the tables
- Keep up to date data catalog with relevant data available and their attributes
- Validate quality of data and steer data quality improvement action plans
- Ensure and assess data quality on global data warehouses, building KPIs (incident management, completeness of data, etc.) and setting up and automate consistency checks
- Identify root causes of potential malfunctions and allocate actions to the right stakeholders
- Partner with Product Owners and Data Engineers to prioritize the pipeline implementation plan
- Partner with Data Engineers and Data scientists to ensure pipelines meets business requirements
- Partner with data domain owner and procurement team in case of need to buy or sell data
- Partner with legal team regarding GDPR and other legal requirements
- Actively contribute to Data governance community
- Guide solution design to meet data and integration requirements
- Identify new opportunities to leverage data and to integrate data or applications to enhance business value
- Coordinate with data owners to ensure data accessibility and quality
- Create detailed, comprehensive, and well-structured test plans and test cases
- Collaborate with Digital Quality Operations team to ensure that test plans meet regulatory/compliance requirements where applicable
- Estimate, prioritize, plan and coordinate testing activities – Unit, SIT, Regression, and UAT
- Design, develop and execute testing
- Develop and apply testing processes for new and existing products to meet client needs
