Data Analyst - Analytics & Data Operations

Data Analyst - Analytics & Data Operations
About the Role
We are seeking a Data Analyst who will play a critical role in delivering reliable insights, working closely with stakeholders, and ensuring data accuracy across the organization. This role goes beyond traditional reporting; the analyst will actively investigate and resolve data issues, collaborate with cross-functional teams, and provide operational support for analytics systems. The ideal candidate is analytically strong, detail-oriented, comfortable working with ambiguity, and capable of balancing business analysis with data operations and system support.

Key Responsibilities
Analytics & Business Insights

• Partner with business and technical stakeholders to understand objectives and translate them into clear analytical requirements
• Perform ad-hoc and recurring analyses to support business decision-making
• Analyze large datasets to identify trends, risks, anomalies, and opportunities
• Align and maintain data definitions, metrics, and business rules across teams
• Present insights through dashboards, reports, and clear written or verbal summaries to both technical and non-technical audiences

Data Quality, Issue Resolution & Root Cause Analysis

• Proactively identify, investigate, and resolve data discrepancies across source systems, pipelines, and downstream reporting
• Perform root-cause analysis in collaboration with data engineering, platform, application, and business teams
• Validate fixes, implement preventative controls, and ensure issues do not recur
• Act as a primary point of contact for data-related issues, troubleshooting, and inquiries

Data Operations & Systems Support

• Monitor data pipelines, dashboards, and jobs for failures or abnormal behavior
• Support analytics and reporting systems during incidents, outages, or data availability issues
• Conduct post-deployment testing and validation to ensure data accuracy and system stability as needed
• Identify opportunities to improve automation, monitoring, alerting, and data workflows

Required Qualifications

• 7+ years of experience as a Data Analyst or Analytics-driven role
• Strong proficiency in SQL or Python (required)
• Experience working with databases and large, complex datasets
• Strong experience with data visualization or reporting tools (Power BI, Tableau, or similar)
• Expertise with modern data platforms and analytics stacks (e.g., Azure, AWS, Databricks, Snowflake)
• Solid understanding of data validation, data quality, and reconciliation techniques
• Demonstrated ability to independently investigate complex data issues from source systems through reporting layers
• Strong analytical, critical-thinking, and problem-solving skills
• Excellent communication skills with the ability to work effectively across technical and non-technical teams

Preferred / Nice-to-Have Qualifications

• Bachelor's or Master's degree in Business, Analytics, Data Science, Computer Science, Statistics, Math or a related field
• Familiarity with cloud data warehouses and ETL/ELT tools
• Exposure to data transformation tools (e.g., dbt)
• Experience supporting production analytics systems or data platforms
• Knowledge of basic statistics and experiment analysis (e.g., A/B testing)
• Comfort participating in off-peak deployments and releases when needed