Lead Data Analyst

Role Description
Lead Data Analyst
Lead I - Data Engineering
Who We Are
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.
With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.
Visit us at UST.com.
You Are
UST is searching for a Lead Data Analyst who will gather and clarify reporting and analysis requirements directly with client business stakeholders.
The Opportunity
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)
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
What You Need
Bachelor's degree in Computer Science, Statistics, Data Science, Engineering or a related discipline
Experience:
4–7 years of experience in data analysis, business intelligence or reporting
Skills:
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
Requirements:
Must be authorized to work in the USA and available to work from the client location
Preferred/Value-Add:
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
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.
Role Location: Remote - US
Compensation Range: $72,000-$108,000
Benefits
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.
What We Believe
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.
Humility
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
Humanity
Through business, we will better the lives of those less fortunate than ourselves.
Integrity
We honor our commitments and act with responsibility in all our relationships.
Equal Employment Opportunity Statement
UST is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances.
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.
#UST
#CB
Skills
AWS, Cloud Data Warehousing, Dashboard Development, Data Analysis, Data Modeling, Data Validation, Databricks, ETL

Work arrangement
Yes