Top Hybrid Data & Analytics Jobs

Own and develop Cloaked’s governed semantic layer, including metric definitions, dimensions, joins, entity relationships, BI models, explores, and dashboards. Build certified metrics and queries for AI-assisted analytics, resolve competing definitions with stakeholders, and maintain tested, version-controlled SQL and transformation code. Partner with data engineering and analysts to improve upstream models, data quality, documentation, and self-service analytics across Product, Growth, Finance, and CX.

As a Senior Data Analyst, you will analyze complex data, mentor junior analysts, develop AI-based tools, and ensure data integrity while collaborating with cross-functional teams to drive insights and strategic decisions.

Supports utility billing data infrastructure across North American data centers. Responsibilities include database development, SQL analysis, data pipeline monitoring, meter-data validation, reconciliation, automation, billing support, building onboarding, and root-cause investigation. The role develops backend services using Python and other languages, maintains integrations and CI/CD workflows, ensures data quality and traceability, and collaborates with technical and operational teams to improve billing reliability, compliance, and efficiency.

Analyzes learning effectiveness, training compliance, and compensation data using multiple systems. Develops dashboards, reports, metrics, and data visualizations; maintains data integrity and supports governance, audits, process improvements, and stakeholder decision-making. Assists with annual shipboard compensation activities, including bonus processing, merit increases, eligibility validation, calculations, and communications. Collaborates with HR, L&D, IT, and shipboard teams to improve reporting and operational processes.

Leads business intelligence and analytics for fundraising, finance, and strategic decision-making. Develops Power BI dashboards, data models, KPIs, scorecards, and automated reporting solutions; integrates disparate data sources; validates data quality; and translates complex findings into actionable recommendations. The role partners with business and technical stakeholders, establishes reporting standards, supports self-service analytics adoption, and provides training and guidance to users.

Leads and develops a data engineering chapter while remaining hands-on in an agile squad. Responsibilities include coaching specialists, defining future skills, designing scalable data pipelines and infrastructure, establishing engineering standards, partnering on architecture, improving data quality, supporting governance and privacy, and collaborating with data scientists, analysts, and business stakeholders. The role also supports performance management, workforce planning, recruitment, and talent development.

Performs complex data analysis, reporting, dashboard development, visualization, data validation, and statistical interpretation for healthcare association stakeholders. Queries and structures data for Tableau, recommends Snowflake enhancements, researches healthcare trends, and supports data collection and integrity processes. The role also trains users, provides technical support, reviews projects, advises analysts, communicates insights, and maintains dashboard systems.

Serves as the liaison between Reporting and Analytics and Finance stakeholders, managing requests, priorities, workflows, and reporting visibility. Configures ticketing tools, coordinates with Data Engineering and Finance, analyzes request metrics, and uses Tableau, SQL, BigQuery, OBIEE/OAS, data warehousing, and BI concepts to understand requirements and support ad hoc queries.

Owns loyalty, customer, and transaction data platforms end to end, including ingestion, architecture, pipelines, modeling, governance, integrations, monitoring, and reporting. Partners with business leaders and vendors to solve ambiguous data problems, improve reliability, and modernize scalable solutions. Integrates AI, LLMs, and agentic frameworks into analytics workflows while ensuring data quality, security, and cost effectiveness.

Design, enhance, and sustain HR reporting, dashboards, and analytics products. Build scalable data pipelines, automate workflows, improve data quality and governance, and operationalize multi-source HR data (including Prism). Provide senior technical support, mentor analysts, and partner cross-functionally to deliver governed, actionable HR data solutions.