Lead Data Analyst

UST is a technology services company seeking a Lead Data Analyst for its data engineering team. The role focuses on gathering reporting and analysis requirements, building dashboards and reports, performing SQL-driven analysis and data quality validation, and supporting junior analysts while communicating findings to business and technical stakeholders.

Responsibilities:

• Gather and clarify reporting and analysis requirements directly with client business stakeholders
• Design, build and deliver dashboards, reports and ad-hoc analyses using standard BI tools
• Write and optimise complex SQL queries across large, multi-source datasets
• Perform data profiling, validation and root-cause analysis on data quality issues
• Define and document metric logic, data mappings, report specifications and SOPs
• Review the work of junior analysts and provide technical guidance on tools and standards
• Track task allocation, effort and delivery status for assigned analytics deliverables
• Present findings and recommendations clearly to business and technical audiences
• Adhere to client data security, privacy and compliance standards (including HIPAA/PHI handling where applicable)

Requirements:

• · Bachelor's degree in Computer Science, Statistics, Data Science, Engineering or a related discipline
• · 4–7 years of experience in data analysis, business intelligence or reporting
• · Strong hands-on expertise in SQL
• · Working proficiency in Python or R
• · Proven experience building dashboards in Tableau, Power BI or SAS reporting
• · Sound understanding of data warehousing, ETL concepts and relational data modelling
• · Good communication and stakeholder-management skills with prior experience guiding junior team members
• · Must be authorized to work in the USA and available to work from the client location
• · Exposure to cloud data platforms (AWS, Azure or GCP) and modern data stacks (Snowflake, Databricks)
• · Familiarity with US healthcare / payer domain data
• · Relevant certification in Tableau, Power BI, SQL or cloud analytics