Data Operations Analyst
Data Operations Analyst
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Email:
Cell: (732)
Email:
Cell: (732)
- End Client is seeking a highly analytical and detailoriented Data Operations Analyst to ensure smooth data workflows improve data accuracy and support business intelligence initiatives.
- The ideal candidate will oversee data pipelines identify and resolve datarelated issues and provide actionable insights to help drive organizational decisions.
- Monitor maintain and optimize data pipelines to ensure seamless data flow across systems.
- Perform ETL (Extract Transform Load) processes to support analytics and reporting needs.
- Ensure data integrity accuracy and consistency across all sources.
- Work closely with data engineering teams to address data architecture and infrastructure challenges.
- Analyze large datasets to identify patterns trends and actionable insights.
- Troubleshoot data discrepancies and provide timely resolutions.
- Conduct root cause analysis for data inconsistencies and implement preventative measures.
- Test and validate data pipelines and processes to ensure reliability.
- Serve as the liaison between business teams and technical teams translating data requirements into technical solutions.
- Document processes workflows and data dictionaries for better crossfunctional understanding.
- Strong proficiency in SQL for data extraction manipulation and analysis.
- Familiarity with ETL tools and frameworks (e.g. Apache Airflow Informatica or Talend).
- Knowledge of cloudbased data platforms (e.g. AWS Google BigQuery Snowflake or Azure).
- Understanding of data governance security and compliance best practices.
- Strong analytical and problemsolving skills with high attention to detail.
- Excellent communication skills to present findings to technical and nontechnical audiences.
- Ability to manage multiple priorities in a fastpaced environment.
- Collaborative mindset and the ability to work across teams.
- Bachelors degree in Data Science Computer Science Mathematics Statistics or a related field.
- 24 years of experience in data operations data analysis or a similar role.
Employment Type
Full Time
