Top Data & Analytics Jobs

Manages database systems to ensure availability, performance, security, and data integrity. Responsibilities include DBMS installation and maintenance, performance tuning, backups and disaster recovery, schema and data model collaboration, SQL and stored procedure optimization, troubleshooting, and security policy implementation. The role also evaluates cloud and NoSQL database technologies and database automation tools.

The Senior Data Engineer designs and maintains production data pipelines on GCP using BigQuery, Dataform, Airflow, Dataflow, and Cloud Run. They own data validation, cleansing, troubleshooting, API integrations, and reliable datasets for analytics and AI/ML. The role also involves translating client requirements into data solutions, maintaining dashboards, supporting ad hoc requests, and applying Git, code reviews, and CI/CD practices.

Designs and leads scalable, secure, and cost-efficient Snowflake data platforms supporting enterprise analytics, operational reporting, and generative AI applications. Serves as the technical authority for data architecture, modeling, lakehouse design, Snowflake services, dbt transformation frameworks, and Python/Snowpark development. Provides hands-on architectural leadership while influencing executive-level technology strategy.

Manages advancement CRM systems, data integrity, fundraising and financial reporting, prospect research, donor analytics, and staff CRM support. Identifies and qualifies major-donor prospects, maintains constituent intelligence, and supports portfolio and moves management. Coordinates advancement services, alumni and donor communications, web updates, and special projects while collaborating with development leadership, gift officers, marketing, IT, and university departments.

Designs, deploys, maintains, scales, and supports enterprise database systems, primarily PostgreSQL in Linux environments. Responsibilities include database architecture, tuning, backup and recovery, failover, large-scale data management, ETL, operational support, testing with real data, and developing system features. The role also explores emerging technologies, supports customer facilities, and may contribute to cloud, DevOps, GIS, APIs, dashboards, and web development.

Design, build, and maintain Howden’s data platform and scalable data pipelines from the ground up. Transform raw data into trusted data products, implement validation and quality controls, document architecture, and ensure governance, security, and privacy compliance. Collaborate with global data teams and business stakeholders to deliver Azure- and Databricks-based solutions. The role also requires supporting data models, ETL/ELT processes, CI/CD, and emerging data engineering technologies.

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.