Top Senior Data & Analytics Jobs

Provides strategic business analytics for pharmaceutical commercial and marketing stakeholders. Analyzes performance, ROI, competitors, KPIs, market dynamics, and financial business cases; develops dashboards, reports, and presentations; standardizes and automates analytics processes; and supports governance, project delivery, prioritization, and leadership decision-making across markets.

Provides senior monitoring, evaluation, accountability, and learning expertise across Southeast Asian projects and regional programmes. Leads theories of change, results frameworks, indicators, MEAL plans, data-quality processes, evaluations, applied research, evidence synthesis, learning activities, and technical coaching. Supports consistent organisational standards, cross-country collaboration, programme adaptation, reporting, and evidence-informed decision-making.

Build and maintain Power BI dashboards, Power Apps tools, data models, and DAX measures for large-scale construction project reporting. Collect and validate schedule, production, quality, and HSE data from contractors and suppliers. Produce weekly and monthly reports, support digital governance, replace manual processes with digital workflows, improve management decision-making, and train non-technical team members in reporting tools and processes.

Lead master data governance for product/material domains across Agile PLM and SAP S/4HANA/SAP MDG. Define governance, document requirements and processes, support MDG design and integrations, drive data migration/cleansing, perform impact analysis, and champion data quality across supply chain, manufacturing, and IT stakeholders.

Provides technical leadership for enterprise data engineering, including scalable data architecture, batch and streaming pipelines, cloud platforms, data quality, governance, monitoring, and deployment. Partners with data science, analytics, product, and technology teams to deliver trusted data for AI, machine learning, reporting, and operational use cases. Establishes engineering standards, leads design reviews, evaluates technologies, mentors engineers, and solves complex data engineering challenges without direct people-management responsibility.

Lead BI, reporting, and data governance for insurance BPS. Manage call center/business managers, build enterprise Power BI solutions, ensure data integrity, drive KPIs, partner with Ops/IT/Finance, and deliver reporting modernization and audit‑ready governance.

Leads complex organizational and policy research projects supporting field operations, collective bargaining, campaigns, and member advocacy. Designs research methodologies, analyzes statistical and survey data, prepares reports, white papers, charts, and actionable recommendations, and presents findings to staff, leadership, and members. Monitors emerging issues, provides subject-matter expertise, trains staff, represents the association externally, and mentors other research analysts.

Manage analytics projects using historical, current, and predictive data to solve business challenges. Lead statistical analysis, experimentation, customer segmentation, forecasting, predictive modeling, dashboards, and reporting. Partner with marketing, operations, property leaders, and senior executives to deliver insights and recommendations. Supervise, mentor, and develop team members while managing projects, automating processes, maintaining documentation, and using SQL, Python, R, and related tools to support business decisions.

Leads enterprise strategy and analytics initiatives, translating complex business challenges into actionable insights and executive recommendations. Oversees reporting frameworks, forecasting, dashboards, data quality, automation, and AI adoption while partnering with product, technology, operations, and data teams. Manages and develops an analytics team, drives measurable business value, and supports operational efficiency, customer outcomes, profitability, and continuous improvement.

Build and maintain scalable batch and streaming data pipelines, analytics warehouses, transformation layers, and dimensional data models. Perform SQL-based analysis, support dashboards and reporting, monitor data quality and delivery SLAs, troubleshoot incidents, and improve operational reliability. Collaborate with engineers, analysts, data scientists, and business stakeholders while contributing to documentation, governance, observability, and automation.