Analytics
Senior Data Analyst
Join our Analytics practice to help clients turn complex data into clear, actionable insights. You will lead analytical workstreams, build models, and present findings to senior stakeholders.
About the Role
As a Senior Data Analyst at NvLynx Analytics, you will be embedded in client engagements across industries — from financial services to healthcare — working on problems that directly shape business strategy.
You will own end-to-end analytical workstreams: scoping questions, sourcing and cleaning data, building statistical and predictive models, and translating findings into recommendations that executives act on.
This role sits at the intersection of technical depth and business acumen. You will collaborate closely with consultants, engineers, and client teams to ensure that every insight is grounded in rigor and delivered with clarity.
Responsibilities
- Lead analytical workstreams within client engagements, from data acquisition through insight delivery
- Design and build statistical models, dashboards, and data visualizations
- Translate complex analytical findings into clear, executive-ready presentations
- Mentor junior analysts and contribute to team knowledge sharing
- Partner with consultants to integrate quantitative insights into strategic recommendations
- Evaluate and improve data quality, pipelines, and analytical processes
Qualifications
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field
- 4+ years of professional experience in data analysis, business intelligence, or applied analytics
- Expert proficiency in SQL and at least one of Python or R
- Strong experience with visualization tools such as Tableau, Power BI, or Looker
- Proven ability to communicate analytical findings to non-technical stakeholders
- Experience working in a consulting, advisory, or client-facing environment
Preferred Qualifications
- Master's degree in a quantitative discipline
- Experience with cloud data platforms (Snowflake, BigQuery, Redshift)
- Familiarity with machine learning frameworks and techniques
- Prior experience in financial services, healthcare, or technology sectors
Interested in this role?
Send us your resume and a brief introduction. We'll review your application and get back to you.
Compensation & Benefits
$120,000 – $155,000
Annual base salary
- Competitive base salary plus annual performance bonus
- Comprehensive health, dental, and vision insurance
- Flexible hybrid work model — 3 days in office, 2 remote
- 401(k) with 4% company match
- $2,500 annual professional development stipend
- Generous PTO plus company-wide recharge days