Data Operations Analyst

📋 Description

• Collaborate with business partners to gather, interpret, and document business requirements, encompassing data discovery, policies, procedures, and analysis.

• Work alongside cross-functional teams, including Product, Client Delivery, Data Integration, Engineering, and Analytics, to improve existing data workflows and processes.

• Assist in supporting technical teams and business stakeholders by translating complex data concepts into clear, actionable insights.

• Utilize SQL and related tools to facilitate data-driven decision-making through reports, dashboards, and data extracts.

• Ensure data accuracy, integrity, and consistency across systems via data validation, reconciliation, and quality checks.

• Conduct file testing during implementations to verify data accuracy, completeness, and adherence to specifications.

• Perform root cause analysis on complex data issues and ensure that findings are documented and integrated into process improvements.

• Troubleshoot application or process-related issues, document findings, and propose solutions.

• Operate within Databricks and related data platforms to support, document, and optimize data workflows and pipelines.

• Utilize Azure DevOps to identify, track, and maintain both individual and team initiatives.

• Aid in the automation and optimization of data-related tasks and reporting processes to enhance efficiency.

• Investigate and resolve data issues, conducting root cause analysis with necessary guidance.

⛳️ Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business, or a related field (or equivalent work experience).

• Over 2 years of experience in data analysis, data operations, business systems analysis, or a similar role.

• Practical experience working with SQL, Databricks, and Azure-based data environments.

• Familiarity with data pipelines, ETL/ELT processes, and data warehousing concepts.

• Experience in data validation, ensuring data quality, and maintaining data integrity across systems.

• Proven track record in gathering, documenting, and translating business and technical requirements.

• Strong documentation abilities, including the creation of clear and scalable data workflows, process documentation, and data definitions.

• Experience with data visualization tools such as Tableau, Power BI, or Looker for generating insightful reports and dashboards.

• Proficient in Excel, including pivot tables, VLOOKUPs, and complex formulas for data analysis.

• Exceptional analytical, problem-solving, and organizational skills with a keen attention to detail.

• Excellent communication skills, capable of bridging the gap between technical and non-technical stakeholders.

🏝️ Benefits

• Competitive benefits package with generous employer subsidies.

• Flexible and remote working options.

• 401k with generous employer match and immediate vesting.

• Opportunities for personal and professional development.

• Supportive family benefits, including paid leave for new family additions.

• Companywide philanthropic program, Valenz Communities Connection.