Senior Analyst, Client Analytics

Later•Boston, MA

About The Position

Later is hiring a Senior Analyst to help its largest Enterprise Brand customers understand how their influencer campaigns performed and why. The role owns account-level reporting and analysis, translating creator, content, audience, platform, and campaign data into insights about the creative themes, formats, and creator attributes that drive results. The analyst turns findings into actionable recommendations that strengthen future influencer strategy and demonstrate Later’s impact, supporting customer renewals and expansion. Working closely with Client Success, Services, and Sales, the Senior Analyst brings insights to clients through performance narratives and executive-level presentations. The position also contributes to the evolution of Later’s Analytics capability by finding patterns across campaigns and developing repeatable frameworks, best practices, and assets to improve insight delivery across the client portfolio. The role involves regular exposure to client teams and Later’s senior leadership. The position builds and maintains data models with dbt and BigQuery, creates reusable data assets and standardized metric definitions, implements data quality checks, and works with data engineering and product teams to improve pipelines feeding client-facing dashboards. Success includes taking ownership of assigned Enterprise Brand accounts’ reporting and presenting independently within 90 days, becoming a trusted analytics partner for renewal and expansion discussions within six months, and developing a scalable standardized reporting framework within 12 months.

Requirements

At least 3 years of experience in social media and content performance campaign reporting and insights.
Direct client-facing or stakeholder-presentation experience.
Strong SQL skills.
Hands-on experience with dbt or a similar data modeling tool.
Experience building account-level or client-facing reporting, rather than only internal dashboards.
Solid presentation skills and comfort communicating data-driven findings to executives and non-technical stakeholders.
Ability to translate complex data into clear, business-relevant recommendations.
Comfort working directly with external clients and internal cross-functional teams.
Experience with BI or visualization tools such as Domo, Looker, or similar.

Responsibilities

Own account-level reporting for Enterprise Brand customers, connecting campaign performance to business outcomes.
Analyze creator- and content-level performance to identify effective creative themes, formats, hooks, storytelling approaches, and creator attributes, and recommend improvements for future influencer campaigns.
Build and present data-driven narratives for client meetings, including QBRs and executive reviews.
Develop hypotheses and design analyses that address Enterprise Brand customers’ questions.
Partner with Client Success and Services to define value delivered for each account and report against it consistently.
Build and maintain data models using dbt and BigQuery, leveraging AI solutions to support efficient and consistent client reporting.
Create reusable data assets and standardized metric definitions to keep account reporting consistent across clients.
Implement data quality checks to ensure client-facing figures are accurate.
Work with data engineering and product teams to optimize pipelines feeding client-facing dashboards.
Conduct deep-dive analyses of campaign performance, audience behavior, and market trends for assigned accounts.
Translate complex data into business-relevant insights for technical and non-technical audiences.
Present findings and recommendations to client stakeholders and internal senior leadership.
Develop repeatable frameworks, best practices, and assets that scale and improve insight delivery across the client portfolio.