Top Data & Analytics Jobs

Design, develop, test, and operate large-scale BI solutions (reports, dashboards, data models) using Power BI and Azure Synapse. Gather requirements, translate business needs into data models, tune performance, collaborate with BI architects on POCs, and maintain stakeholder communication.

Lead and grow customer analytics practice in Communications, Media & Technology. Define strategies, develop thought leadership, and communicate analytics value. Lead and deliver large-scale, complex client engagements, focusing on customer analytics delivery, CRM modeling, reporting, and predictive analytics.

Design, build, and optimize scalable data platforms, pipelines, and lakehouse/warehouse solutions using Microsoft Fabric and Azure. Implement ETL/ELT, data migration from SQL Server, governance, CI/CD, streaming integrations, and Power BI connectivity to enable analytics and AI initiatives while ensuring security and performance.

Lead design and implementation of data architecture and reliable ETL processes to move data between heterogeneous sources and targets. Troubleshoot and resolve data architecture issues, collaborate with business analysts and technology teams, set up and test systems, and optimize ETL performance to support domestic resilience initiatives.

Implement and configure Teradata solutions and modules across the full systems development life cycle. Collaborate with users to design complex application systems, run workshops and meetings, and adapt software packages to business needs. Provide problem-solving, negotiation, and team-building skills in a fast-paced environment.

Audit, troubleshoot, and improve client web and mobile analytics implementations; implement and QA tracking via tag management; generate and present scheduled and ad-hoc reports; identify KPIs and measurement strategies; provide technical documentation and support to development and performance teams to ensure accurate data collection and actionable insights.

Build and maintain product analytics dashboards, validate and QA event tracking, translate event data into analytics-ready datasets, run funnels/cohorts/retention analyses, support A/B testing, and surface actionable product insights to Product, Growth, and Data stakeholders.

Designs and leads mixed-methods research and evaluation projects on missionary training and learning. Collects and analyzes quantitative and qualitative data, develops reports and dashboards, communicates findings to stakeholders, and manages multiple projects and research assistants to inform program improvement.

Lead and sustain enterprise master data operations (Material, Customer, Vendor, Pricing), enforce governance and SOX controls, drive data quality via KPIs and continuous improvement, support MDM/ERP initiatives, manage third-party providers, and develop data dictionaries, metrics, and process documentation.

Support PALU by building reproducible code and ETL pipelines to transform program data, develop dashboards and automated reports, design and deploy ODK/XLSForms and DHIS2 forms, monitor data quality, provide field technical assistance and training, and integrate MEL insights into program decision-making and proposals.