Senior Technical Data Analyst

 General Summary: 

The Senior Technical Data Analyst is responsible for resolving issues raised to the data platform operations team. This role involves working through JIRA issues created by data platform users and proactively identifying and resolving potential data issues on the platform. The ideal candidate will possess strong analytical skills, attention to detail, and the ability to work collaboratively in a dynamic environment.

Key Responsibilities  

Respond to data anomalies, alerts and incoming requests from data platform users Build dashboards to monitor data flows and identify issues Develop and implement ops policies and procedures to maintain data reliability and quality. Respond quickly to operational incidents, ensuring timely resolution and minimal impact on business operations. Collaborate with cross-functional teams, including data management, data governance, engineering, and business stakeholders, to support data-driven initiatives and resolve operational issues. Ensure adherence to data governance policies and regulatory requirements related to data handling and storage.

Key Competencies  

Data analyst background, including ability to understand table structures, data pipelines, data architecture and implementation at code level  Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, stakeholders, and business users to define requirements and resolve data issues.  Ability to adapt to changing conditions and lead others through change  Demonstrate emotional maturity and a positive outlook  Demonstrated analytical, organizational, prioritization, and time management skills 

Required education, certifications, and experience 

Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field; relevant certifications are a plus. 5+ years of experience in data operations Strong SQL skills Familiarity with Sigma Computing or similar dashboarding tools  Strong analytical and problem-solving skills, with the ability to analyze complex data issues, identify root causes, and develop innovative solutions Strong understanding of data lakes, cloud storage solutions, and data processing tools (e.g., AWS, Azure, Hadoop). Strong verbal and written communication skills; ability to convey technical concepts to non-technical stakeholders. Experience working with an international development team (e.g., internal remote offices or outsourcing partners) 

Preferred qualifications 

Experience with the Snowflake data platform Familiarity with data governance frameworks and data quality best practices. Experience with automation via Python scripting