Top Data & Analytics Jobs

Develop and maintain BI solutions by sourcing data from corporate databases, building KPIs and interactive dashboards, optimizing legacy Excel/MS Access tools with VBA and .NET, migrating manual spreadsheets to centralized BI, documenting tool logic, and researching/implementing AI tools to streamline operations.

Design, build, and maintain enterprise data pipelines and cloud data platforms (Snowflake, Databricks). Implement dimensional and Data Vault models, optimize ETL/ELT (real-time where needed), support ML pipelines, ensure data governance and security, and communicate technical solutions to non-technical stakeholders while working cross-functionally.

Entry-level Business Analyst supporting credit risk, pricing, and partnerships. Analyze internal and external data, develop KPIs, run visual analytics, estimate impacts, recommend process/product improvements, and communicate findings to stakeholders.

Design, build, and maintain scalable GCP-based data pipelines, data lakes/warehouses (BigQuery, Cloud Storage, Snowflake), integrate varied data sources, apply dimensional modeling, and collaborate with data scientists and stakeholders to ensure data quality, accessibility, and PHI security.

Collects and organizes data from CRM and other company sources, analyzes trends and outliers related to production, recruiting, sales and finances, creates scheduled reports, highlights issues and recommends solutions, and presents visual findings to management. Supports cross-department collaboration and performs related duties as assigned.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Partner with stakeholders to translate business needs into BI requirements, design and maintain BI solutions and semantic layers, analyze large payment datasets, enforce data governance and quality, deliver insights and reports, lead stakeholder meetings and training, mentor team members, and drive process improvements for data loading and analytics.

Own the companys end-to-end data graph, ensure data quality and lineage, and deliver Sigma dashboards and client-facing reports. Act as single owner for triage, prioritization, and translation of business questions into actionable insights, partnering closely with data engineering and business leaders to set standards for production-ready reporting.

Perform advanced quantitative and qualitative analyses, integrate multiple datasets, build scalable models and BI reporting solutions, create clear visualizations and actionable recommendations, ensure data integrity, automate recurring analyses, advise on KPIs, and mentor other analysts across the enterprise.

Document and reverse-engineer the client's ServiceNow data model and ITSM/CMDB processes. Design API-based incremental extraction into a Bronze layer and specify Bronze->Silver->Gold mappings. Define DNA crosswalk keys, data-quality gates and KPI confidence scoring, and support pipeline development, observability, and automated testing for ServiceNow as a source system.