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.

• 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

• 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

• 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

• 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

• 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