Data Analyst - Analytics & Data Operations

Data Analyst - Analytics & Data Operations bout 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 ctively 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 nalytics & Business InsightsPartner with business and technical stakeholders to understand objectives and translate them into clear analytical requirementsPerform ad-hoc and recurring analyses to support business decision-makingnalyze large datasets to identify trends, risks, anomalies, and opportunitieslign and maintain data definitions, metrics, and business rules across teamsPresent insights through dashboards, reports, and clear written or verbal summaries to both technical and non-technical audiences Data Quality, Issue Resolution & Root Cause AnalysisProactively identify, investigate, and resolve data discrepancies across source systems, pipelines, and downstream reportingPerform root-cause analysis in collaboration with data engineering, platform, application, and business teamsValidate fixes, implement preventative controls, and ensure issues do not recurct as a primary point of contact for data-related issues, troubleshooting, and inquiries Data Operations & Systems SupportMonitor data pipelines, dashboards, and jobs for failures or abnormal behaviorSupport analytics and reporting systems during incidents, outages, or data availability issuesConduct post-deployment testing and validation to ensure data accuracy and system stability as neededIdentify opportunities to improve automation, monitoring, alerting, and data workflows Required Qualifications7+ years of experience as a Data Analyst or Analytics-driven roleStrong proficiency in SQL or Python (required)Experience working with databases and large, complex datasetsStrong 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 techniquesDemonstrated ability to independently investigate complex data issues from source systems through reporting layersStrong analytical, critical-thinking, and problem-solving skillsExcellent communication skills with the ability to work effectively across technical and non-technical teams Preferred / Nice-to-Have QualificationsBachelor's or Master's degree in Business, Analytics, Data Science, Computer Science, Statistics, Math or a related fieldFamiliarity with cloud data warehouses and ETL/ELT toolsExposure to data transformation tools (e.g., dbt)Experience supporting production analytics systems or data platformsKnowledge of basic statistics and experiment analysis (e.g., A/B testing)Comfort participating in off-peak deployments and releases when needed