Senior Analyst, Client Analytics

Later•Boston, MA

6d•$100,000 - $120,000

About The Position

Later is an influencer marketing company with an AI-powered platform and proprietary data that helps brands plan, execute, and evaluate influencer campaigns. The Senior Analyst, Client Analytics supports Later’s largest Enterprise Brand customers by explaining how influencer campaigns performed and why. The role owns account-level reporting and analysis, connecting creator, content, audience, platform, and campaign data to the creative themes, formats, and creator attributes that drive results. It translates findings into recommendations that strengthen future influencer strategies and demonstrate Later’s impact. In partnership with Client Success, Services, and Sales, the Senior Analyst presents performance narratives to clients, including executive stakeholders. The role also contributes to the broader Analytics capability by identifying patterns across campaigns and developing reusable frameworks, best practices, and assets. It involves regular exposure to client teams and Later’s senior leadership. The position builds and maintains data models and reporting infrastructure, including dbt and BigQuery models, reusable data assets, standardized metric definitions, and data quality checks. It also works with data engineering and product teams to optimize pipelines feeding client-facing dashboards. Success includes taking ownership of assigned Enterprise Brand reporting and independently presenting to clients, becoming a trusted analytics partner in renewal and expansion discussions, and building a standardized reporting framework that scales across Enterprise Brand accounts.

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.
Strong 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 and connect 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 actions for future campaigns.
Build and present data-driven narratives for client meetings, including QBRs and executive reviews.
Develop hypotheses and analyses that address Enterprise Brand customers’ questions.
Partner with Client Success and Services to define and consistently report on value delivered for each account.
Build and maintain data models using dbt and BigQuery, leveraging AI solutions to support efficient, consistent client reporting.
Create reusable data assets and standardized metric definitions for consistent account reporting.
Implement data quality checks for client-facing numbers.
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.
Identify cross-campaign patterns and develop repeatable analytics frameworks, best practices, and assets.