Senior Data Analyst Consultant

Job Description

Job Description

Our Client, a global healthcare company, are seeking an experienced and detail-oriented Senior Data Analytics Consultant to drive data-driven decision-making across global business functions. This role requires a mix of advanced analytical expertise, business consulting acumen, and hands-on technical proficiency. You will collaborate with cross-functional teams to design, build, and optimize data models, dashboards, and analytical solutions that deliver actionable insights aligned with organizational goals. The ideal candidate combines strong quantitative analysis skills with the ability to communicate complex data insights to senior decision-makers, while mentoring junior team members and ensuring data quality and governance throughout.

This is a long-term contractual position running through the end of 2026. The client prefers that the candidate to be nearby the greater San Francisco area, but they will consider all profiles from the Pacific and Mountain time zones.

Key Responsibilities :

• Partner with business stakeholders to translate analytical needs into structured reporting and visualisation solutions.
• Design, develop, and optimize data models, dashboards, and automated reporting tools using modern BI and analytics platforms.
• Perform advanced data analysis and statistical modelling to support business initiatives and performance measurement.
• Conduct data extraction, transformation, and loading (ETL) from multiple sources using SQL and other database management tools.
• Ensure data accuracy, consistency, and integrity across systems while implementing best practices in data governance and security.
• Identify opportunities for process automation and reporting efficiency using scripting and programming tools.
• Communicate analytical findings clearly and effectively to both technical and non-technical audiences, influencing key business decisions.
• Mentor junior analysts, promoting knowledge sharing, best practices, and continuous improvement within the analytics function.
• Stay abreast of industry trends, analytics innovations, and evolving technologies to recommend improvements to analytical processes and tools.

Requirements