Client Analytics Lead — Data Storytelling & Strategy

DoubleVerify Inc.; New York (NY); On-site; USD 100,000 - 163,000; Full time

Benefits offered by this job

Bonus/commission (as applicable)

Equity

Benefits

Job summary

DoubleVerify Inc. is hiring for a senior analytics professional to own the full lifecycle of client analytics deliverables, from QBRs to custom insights. You will translate complex data into strategic client value and present findings to executives and stakeholders.

The role requires 6+ years in analytics, advanced Excel/PowerPoint skills, and experience with Salesforce, Looker, Snowflake and SQL. Travel is required to work with global teams and clients, with a strong emphasis on data

Qualifications

• 6+ years of experience in analytics, data & insights
• Advanced Excel and PowerPoint with data visualization
• Experience presenting to senior stakeholders and leading client-facing sessions

Responsibilities

• Own the analytics deliverables lifecycle for key accounts including QBRs, Test Wraps, and custom insights
• Present data-driven insights to clients and internal stakeholders
• Project manage deliverables with limited supervision and set timelines
• Develop and refine analytics processes and best practices for the team
• Mentor Analysts on data methodology and product knowledge
• Lead strategic discussions with clients and internal revenue partners
• Identify revenue opportunities from client analytics work with Client Partners

Skills

Excel

PowerPoint

Data storytelling

SQL

Salesforce

Looker

Snowflake

Client-facing

Project management

Tools

Looker

Snowflake

SQL

Salesforce

Job description

DoubleVerify Inc. is hiring for a senior analytics professional to own the full lifecycle of client analytics deliverables, from QBRs to custom insights. You will translate complex data into strategic client value and present findings to executives and stakeholders.

The role requires 6+ years in analytics, advanced Excel/PowerPoint skills, and experience with Salesforce, Looker, Snowflake and SQL. Travel is required to work with global teams and clients, with a strong emphasis on data