Data Tester Job at GSSR Inc in Washington

The Data Tester will be instrumental in drivingdata-driven insights and decision-making. The successful candidate willdemonstrate strong analytical capabilities, proficiency in data managementtools, and the ability to work independently. This role requires a proactiveapproach to data analysis, with a focus on utilizing advanced technologies toenhance data processes.

Key Responsibilities:

Data Engineering and Optimization
Leverage Data Bricks for collaborative data engineering and analysis, enhancingworkflow efficiency and productivity.
Optimize data processing workflows to ensure scalability and performance acrossdata projects.

Data Collection and Integration
Utilize Azure Data Factory (ADF) to design and implement efficient datapipelines for the ingestion and transformation of large datasets.
Ensure data quality and integrity through effective monitoring and validationprocesses.

Data Analysis and Interpretation
Conduct in-depth data analysis using SQL, PySpark, and Python to extractactionable insights and support organizational objectives.

Reporting and Visualization
Prepare clear and concise reports that communicate analytical findings tostakeholders, facilitating informed decision-making.
Create interactive visualizations to enhance data comprehension and driveengagement.

Collaboration and Support
Partner with cross-functional teams to identify data needs and provide expertanalytical support.
Engage in knowledge-sharing activities to promote best practices in dataanalysis and management.

Required Skills and Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; Master’s degree preferred.
• Strong proficiency in SQL for data querying and manipulation.
• Experience with Azure Data Factory (ADF) for data integration and pipeline management.
• Proficient in Data Bricks, PySpark, and Python for data processing and analysis.
• Excellent problem-solving skills with a strong attention to detail.
• Effective communication skills, with the ability to translate complex data insights into clear recommendations.
• Proven ability to work independently in a fast-paced, multicultural environment.
• Previous experience in a data analysis role, particularly within an international or development-focused organization.
• Familiarity with data visualization tools (e.g.Tableau, Power BI) is a plus.
• Understanding of data governance and best practices in data management.