Senior Data Analyst

Senior Data AnalystJoin the OddBytes Team! Did we mention we're fully remote? We found that life is just better with a fully remote workforce and we operate in a remote work environment. We're most productive when our work life acts in harmony with the rest of our lifestyle, and our culture reflects that. US candidates only will be considered.Perk for candidates: We have an amazing office in Huntington Beach, CA a block from the beach, shops, and restaurants. It's a cool place for employees to have meetings or important conversations and to keep up with coworkers more regularly. If you are in the SoCal area, it's a great option if you are looking for more of a hybrid schedule to make and keep human connections! And if you are not in the SoCal area, our office doors are always open, and we encourage you to take advantage of the office space for in-person training and periodic visits!Role PurposeThe Senior Data Analyst is responsible for transforming data into clear insights that drive product, business, and operational decisions. The role bridges data, product, and business by asking the right questions, validating assumptions, and making complex information understandable and actionable.Data Analysts work closely with Product, Engineering, Marketing, and Leadership to ensure decisions are informed by reliable data. This role also includes active and responsible use of AI tools to accelerate analysis, exploration, and communication of insights - while maintaining strong analytical judgment and data integrity.Senior Data AnalystFocus: Analytical leadership and decision influenceOwns analytics for a product area or business domainShapes how success is measured and evaluatedGuides stakeholders toward data-informed decisionsMentors junior and mid-level analystsImproves analytical practices, tooling, and data literacyUses AI strategically to deepen insights and reduce time-to-decisionAbility to independently manage analytical projects end-to-endDefine scope, timelines, and deliverablesCommunicate progress and expectations to stakeholdersBalance multiple priorities and requests effectivelyTypical experience: 5+ years of data analytics experienceCore ResponsibilitiesAnalyze product, user, and business data to support decision-makingDefine and track key metrics, KPIs, and success indicatorsBuild and maintain dashboards, reports, and self-service analyticsPartner with Product and Engineering to evaluate experiments and changesValidate data quality and highlight inconsistencies or risksCommunicate insights clearly to technical and non-technical stakeholdersUse AI tools to speed up analysis, hypothesis exploration, and storytellingCore Data Analytics ExpertiseData Analysis & ExplorationExploratory data analysis (EDA)Hypothesis-driven analysisIdentifying trends, patterns, and anomaliesTranslating vague questions into analytical approachesSQL & Data AccessStrong SQL skills for querying analytical databasesJoining, aggregating, and transforming dataUnderstanding data freshness, granularity, and limitationsMetrics & MeasurementDefining meaningful metrics and KPIsFunnel, cohort, and retention analysisExperiment and A/B test analysisUnderstanding bias, noise, and statistical significance (practical level)Event-based / product analytics (user behavior tracking, event design, feature usage analysis)Revenue, LTV, and unit economics analysis (CAC, payback period, ROI)Visualization & CommunicationBuilding clear dashboards and reportsData visualization best practicesPresenting insights in a clear, concise narrativeAdapting communication to different audiences