Senior Analyst

At A Glance

The Senior Analyst is a strategic leader within the Business Analytics team, responsible for owning client analytics relationships end-to-end — from architecting the data environment and designing advanced analyses to presenting findings at the executive level and mentoring junior analysts. This is not just a technical role; it is a senior partner role that requires both the analytical depth to build rigorous models and the executive presence to turn those models into decisions.

The Senior Analyst brings 5–10+ years of experience in data and business analytics, ideally in B2B or enterprise environments, and operates with a high degree of independence. They own their client workstream, shape the analytical roadmap, and continuously elevate the standard of work across the team.

USD $95,000.00/Yr.

USD $/Yr.

• Health and wellness benefits plans
• Flexible vacation and holiday policies
• Paid parental leave
• 401(k) with employer matching
• Technology allowance
• Referral bonus
• Tax savings with flexible spending accounts for parking, transit, dependents, and healthcare costs
• Opportunity to work with a growing company that actively rewards and promotes its employees

• Own and lead the full analytics lifecycle for assigned client accounts — from scoping and data architecture through analysis, visualization, and executive presentation.
• Design, build, and govern Tableau and Power BI dashboards for strategic client and internal use; establish quality and integrity standards for the team.
• Lead complex, multi-source analyses using advanced statistical methods — regression modeling, cluster analysis, conjoint and factor analysis — and translate findings into clear, executive-ready recommendations.
• Serve as a senior analytical voice in client engagements; lead executive presentations, facilitate strategic discussions, and manage client expectations with confidence.
• Define and drive the analytical roadmap for client accounts, proactively identifying growth opportunities, market expansion possibilities, and performance optimization levers.
• Oversee billing and hour tracking across client accounts; ensure accurate, timely reporting and proactively flag scope or resource issues to leadership.
• Mentor and develop junior analysts — providing technical guidance, reviewing deliverables, and raising team capability over time.
• Author and maintain complex SQL queries in Snowflake; lead data modeling and ad-hoc extraction work supporting multi-account analytical operations.
• Interpret competitive benchmarking data and deliver strategic recommendations grounded in market and performance analysis.
• Drive continuous improvement of analytical tools, methodologies, and reporting infrastructure across the Business Analytics team.

Experience and

Education:

• Bachelor’s degree in Data Analytics, Computer Science, MIS, Statistics, Economics, Marketing, Finance, or related field required.
• MBA, MS in Data Analytics, or equivalent advanced degree strongly preferred.
• 5–10+ years of progressive experience in data and business analytics, with at least 3 years in a senior or lead analyst capacity.
• Demonstrated experience leading client-facing analytics engagements and presenting to executive audiences.
• Proven track record mentoring analysts and elevating team standards

Skills and Attributes:

Core Competencies

• Strategic thinker who connects analytical findings to business outcomes — not just reporting what happened, but advising on what to do next.
• Exceptional executive communication skills — equally comfortable building the model and presenting it to a room of senior leaders.
• Natural mentor who takes ownership of team quality, not just their own work.
• High‑initiative operator who leads accounts proactively, identifies opportunities before clients ask, and drives the agenda.
• Meticulous and organized; able to manage multiple accounts, competing priorities, and high‑visibility deliverables simultaneously.

Technical Skills

• Expert‑level Tableau and/or Power BI — advanced calculated fields, LOD expressions, blending, and enterprise‑scale dashboard architecture.
• Expert Excel skills — Power Pivot, VBA, dynamic array…