Data Operations Analyst
New
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years
- Required Skills
- SQLETLMicrosoft Power BITableauAzureMicrosoft ExcelDatabricksLooker
Requirements
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business, or a related field (or equivalent work experience).
- 2+ years of experience in data analysis, data operations, business systems analysis, or a related role.
- Hands-on experience working with SQL, Databricks and Azure-based data environments.
- Experience working with data pipelines, ETL/ELT processes, and data warehousing concepts.
- Experience with data validation, data quality, and ensuring data integrity across systems.
- Experience gathering, documenting, and translating business and technical requirements.
- Strong documentation skills, including creating clear and scalable data workflows, process documentation, and data definitions.
- Experience with data visualization tools such as Tableau, Power BI, or Looker to create insightful reports and dashboards.
- Strong Excel skills, including pivot tables, VLOOKUPs, and complex formulas for data analysis.
- Strong analytical, problem-solving, and organizational skills with attention to detail.
Responsibilities
- Collaborate with business partners to gather, interpret, and document business requirements, including data discovery, policies, procedures and analysis.
- Collaborate with cross-functional teams, including Product, Client Delivery, Data Integration, Engineering and Analytics, to enhance existing data workflows and processes.
- Assist in supporting technical teams and business stakeholders, translating complex data concepts into clear, actionable insights.
- Utilize SQL and related tools to support data-driven decision-making through reports, dashboards, and data extracts.
- Ensure data accuracy, integrity, and consistency across systems through data validation, reconciliation, and quality checks.
- Conduct file testing during implementations to validate data accuracy, completeness, and compliance with specifications.
- Conduct root cause analysis on complex data issues and ensure findings are documented and incorporated into process improvements.
- Troubleshoot application or process issues, document findings, and recommend solutions.
- Work within Databricks and related data platforms to support, document, and optimize data workflows and pipelines.
- Work within Azure DevOps to identify, track and maintain individual and team initiatives.
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