Position Details: Data Analyst

Description:

We are seeking a highly skilled Data Validation Specialist to join our team.

The ideal candidate will be responsible for ensuring the accuracy and integrity of data through rigorous validation processes, particularly in the context of program transformations.

This role requires a keen eye for detail, strong analytical skills, and a deep understanding of data management and transformation techniques.

Key Responsibilities:

Data Validation:
Conduct thorough validation of data to ensure accuracy, consistency, and completeness.

Develop and implement data validation rules and procedures.

Identify and resolve data discrepancies and anomalies.

Quality Assurance:
Develop and maintain data quality metrics and reports.

Perform regular audits and data quality assessments.

Implement best practices for data validation and quality assurance.

Collaboration:
Work closely with cross-functional teams.

Provide support and guidance on data validation processes and best practices.

Participate in project meetings and contribute to project planning and execution.

Create and maintain documentation across project activities.

Program Transformations:
Collaborate with data engineers to understand program transformations and their impact on data.

Validate data before and after transformations to ensure integrity and accuracy.

Document and communicate findings and recommendations to relevant stakeholders.

RequiredSkills:

TechnicalSkills:
Proficiency in SQL and data querying languages.

Experience with data validation tools and techniques.

Foundational understanding of data transformation processes and ETL (Extract, Transform, Load) methodologies.

Familiarity with data visualization tools (e.g., Tableau, Power BI)

Analytical Skills:
Excellent problem-solving skills and attention to detail.

Ability to analyze complex data sets and identify patterns and trends.

Strong critical thinking and decision-making abilities.

Communication Skills:
Excellent written and verbal communication skills.

Proactively communicate project status, progress, risks, dependencies, and potential data-quality issues.

Raise questions and blockers early, with a clear explanation of the impact and recommended next steps.

Tailor communication of findings to both technical and non-technical stakeholders.

Perform an action: