Top Data & Analytics Jobs

Designs, builds, and optimizes scalable ETL/ELT pipelines, data models, semantic layers, warehouses, lakehouses, and streaming architectures. The role supports enterprise analytics, reporting, and AI/ML initiatives while ensuring data quality, governance, security, lineage, and metadata management. Responsibilities include translating business requirements into reliable data solutions, maintaining documentation and standards, and collaborating with stakeholders and governance teams.

Leads the business intelligence department across pricing, demand planning, commercial analytics, master data, and R&D reporting. Develops analytics strategy, scenario modeling, margin management, dashboards, data governance, and competitive intelligence. Manages and develops the BI team, drives cross-functional initiatives, and champions adoption of AI, Power BI/Microsoft Fabric, pricing platforms, and advanced analytics to support growth and profitability.

Lead the University’s planning and business intelligence function, advising senior leaders on institutional performance, strategic planning, reporting, analytics, student demand, funding, and resource allocation. Oversee business intelligence, government reporting, forecasting, admissions modelling, dashboards, and strategic analysis. Manage a multidisciplinary team, support evidence-based decision-making, and represent the University with government agencies, sector bodies, and stakeholders.

Monitors mining equipment health, performance, utilization, alarms, and machine data using Sandvik digital tools. Identifies potential failures and inefficiencies, develops maintenance recommendations, manages investigations, and tracks cases through closure. Prepares reports, conducts customer service reviews, supports digital-platform onboarding and training, resolves customer questions, and contributes to monitoring-process improvements and root-cause analysis.

Builds and supports data conversion, enterprise BI, reporting, data pipelines, and warehouse integrations across legacy and modern County systems. Responsibilities include cleansing and validating data, developing Power BI dashboards and paginated reports, creating Azure Databricks and Data Factory pipelines, tuning Oracle and SQL Server solutions, modeling data with DAX/MDX, supporting Oracle financial-system integrations, documenting controls, and enabling business-user adoption.

Designs scalable data models, optimized SQL queries, analytics infrastructure, semantic layers, and data applications. Partners with data science, product, engineering, and business teams to enable dashboards, self-service analytics, reporting, and enterprise data-driven decision-making. The role also establishes analytics engineering best practices, improves developer experience, and supports secure, compliant data warehousing.

Serves as the bridge between retail business stakeholders and the enterprise data ecosystem. Builds Tableau dashboards and Snowflake SQL analyses, defines data requirements, oversees third-party data engineering pipelines, validates data quality, documents data flows, supports self-service reporting, and establishes BI governance standards. The role focuses on omnichannel retail systems including Shopify, NetSuite, Manhattan WMS, Klaviyo, and Google Analytics while ensuring privacy and regulatory compliance.

Provides operational support for fundraising and business systems through recurring data maintenance, duplicate remediation, bulk uploads, record merges, data quality initiatives, and user support. Responds to ServiceNow requests, creates documentation and training resources, tests system enhancements, and recommends process improvements. The role also supports data validation, reconciliation, reporting, and automation using programming and AI while escalating complex issues appropriately.

Administers the Raiser's Edge NXT donor database, ensuring data integrity, security, maintenance, reporting, integrations, and process improvement. Builds dashboards, reports, queries, and fundraising insights; trains staff; manages Blackbaud vendor support; coordinates system upgrades and integrations; and supports Finance with reconciliations, audits, and Form 990 reporting. The role also documents procedures, develops automation, and manages database requirements across departments.

Lead the data engineering foundation for MCG’s AI products. Build and operate data platforms, ingestion and transformation workflows, governed datasets, dashboards, and reliable production pipelines. Partner with Product, Engineering, Data Science, and customers to translate needs into technical solutions, support machine learning lifecycles, identify insights, and inform AI product decisions and roadmaps.