Top Senior Data & Analytics Jobs

Manage end-to-end qualitative and quantitative public affairs and corporate reputation research projects. Responsibilities include survey and screener development, research analysis, presentations, client relationship management, qualitative moderation, project fielding, timeline coordination, team mentoring, proposal development, and strategic recommendations.

Leads customer analytics, revenue and retention reporting, executive and board reporting, renewal variance analysis, capacity modeling, customer health scoring, churn prediction, and data governance. Partners with Finance, Sales, Revenue Operations, Product, and Customer leadership to standardize SaaS metrics, improve retention, forecast revenue, and translate complex datasets into strategic recommendations and executive-ready dashboards.

Modernize an Azure Synapse platform and migrate workloads to Microsoft Fabric. Build metadata-driven ingestion frameworks, Fabric pipelines, Spark notebooks, validation and reconciliation processes, and Git-based CI/CD workflows. Analyze complex Synapse dependencies, implement full-load, incremental, and CDC patterns, and support medallion architecture, governance, lineage, monitoring, and security. Collaborate with client engineers through paired development, architecture discussions, code reviews, and knowledge sharing while using Claude Code for AI-assisted development.

Analyzes large federal enterprise datasets in a secure government environment. Responsibilities include developing SQL queries, ETL/ELT workflows, structured datasets, statistical and analytical models, data visualizations, and reporting solutions. The role validates data ingestion, identifies trends and anomalies, supports AI/ML and non-AI/ML initiatives, conducts research, and translates government stakeholder requirements into reliable data-driven solutions.

Investigate fraudulent accounts, payouts, traffic sources, and partner activity across rewarded mobile apps. Analyze fraud patterns and MMP data, build risk rules and verification controls, quantify financial impact, and report results. Partner with Product, Engineering, Growth, Support, and external partners to prevent fraud while minimizing false positives. The role also establishes review standards, mentors teammates, evaluates fraud tools, handles appeals, and helps develop AI-assisted fraud workflows.

Analyzes e-commerce business requirements, documents processes, and communicates between business users and system development teams. Monitors and tests new development, manages user interfaces and application modules, and supports system interfaces. Requires advanced SQL, XML, database development, business process analysis, bilingual English-Korean communication, and over nine years of experience.

Own growth marketing analytics across acquisition channels, including attribution modeling, incrementality testing, performance dashboards, automated insights, and predictive modeling. Partner with marketing leadership to translate channel data into budget and investment recommendations, uncover growth opportunities, and improve decision-making. Build scalable measurement frameworks and become the subject matter expert for growth data across the organization.

Coordinates AI and data governance across Innovation, IT, Security, Privacy, Legal, and business teams. Leads information governance assessments, evidence collection, remediation tracking, policy updates, data lifecycle standards, stewardship, privacy, retention, access, and DLP requirements. Maintains AI inventory and governance records, translates requirements into platform workflows, reports risks and progress, manages staff, and supports responsible AI adoption and compliance reviews.

Analyzes and processes large-scale assessment datasets, maintains psychometric software and statistical code, troubleshoots programs, develops quality controls, coordinates data transfers, supports standard-setting studies, and communicates results. The role also improves workflows, mentors colleagues, supports project planning, and collaborates with psychometricians and technical teams.

Analyze marketing and digital marketing performance across social, web, app, and email channels. Develop segmentation, attribution, funnel, conversion, retention, KPI, dashboard, and competitive analyses. Design A/B and multivariate experiments, identify data issues, and translate statistical findings into actionable recommendations for stakeholders and senior leaders. Collaborate with technical teams to improve data reliability and support consumer acquisition, retention, and product performance.