Summary
Our Client's Business Development team is seeking a Technical Data Analyst to ensure the stability and reliability of our critical data systems. This is a hybrid role blending production support with data analysis and quality assurance. You will be the first line of defense issues, and proactively contributing to testing and process improvements to enhance data integrity and operational efficiency. for our production data pipelines, troubleshooting
Key Responsibilities
- Serve as the primary point of contact for production support, monitoring data pipelines, troubleshooting failures, and performing root cause analysis on system and data issues.
- Develop and enhance operational tools, dashboards, and automation scripts (Python, SQL), leveraging AI and other advanced tools to continuously improve processes and support efficiency.
- Collaborate with engineering and QA teams, participating in testing cycles for new features and bug fixes to ensure system stability and data quality.
- Communicate issue status and resolution to business users and technical partners.
Key Qualifications
- 4+ years in a data-centric role (e.g., production support, data engineering).
- Proficiency in advanced SQL and scripting in Python.
- Experience with ETL/workflow management tools (e.g., Airflow) and data warehousing concepts (Postgres, Snowflake, Oracle).
- Excellent analytical and problem-solving skills with the ability to communicate technical concepts to diverse audiences.
- Familiarity with Git, cloud platforms (AWS/GCP), Big Data technologies (Spark, Hadoop), and exposure to AI/ML for process automation is a plus.
Education & Experience
- BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
