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Full-Time

Senior Analytics Manager

AI Products

Posted on 9/18/2023

DoubleVerify

DoubleVerify

1,001-5,000 employees

Digital media measurement and analytics software

Data & Analytics
Enterprise Software

Compensation Overview

$97k - $185kAnnually

Senior

New York, NY, USA

Category
AI & Machine Learning
Data & Analytics
Required Skills
Python
Data Science
BigQuery
SQL
Natural Language Processing (NLP)
Computer Vision
Looker
Data Analysis
Requirements
  • 6+ years of experience working as an analytics contributor supporting product and engineering teams
  • 2+ years’ experience managing, coaching and developing product and/or data analysts
  • At least 1 year experience supporting product initiatives backed by data science approaches, either computer vision (CV) or natural language processing (NLP)
  • Expertise in SQL & Python
  • Hands-on experience with Looker, BigQuery, and SQL warehouses
  • Experience developing and deploying automated processes is a plus
Responsibilities
  • Develop and mentor a team of 2-4 product and data analysts
  • Partner with Product Management, Engineering, and Data Science team to prioritize analysis of machine learning products, manual labeling results, and client data
  • Lead cross-functional collaboration between the AI curation team analytics group and other business units to ensure consistency of measurement across the company
  • Identify & implement process improvements to measure and improve the impact of our analytics function
  • Create, disseminate and update documentation on our data labeling platform and warehouse as it grows to support new product solutions
  • Provide insight and recommendations on decision making for large scale product initiatives based on layered analysis
  • Identify and communicate data quality issues, and drive prioritization of measures to address them
Desired Qualifications
  • Hands on experience with big data platforms such as Databricks

DoubleVerify excels in providing a software platform for digital media measurement and analytics, focusing on inventory quality, fraud detection, viewability, brand safety, and suitability. With its dedicated Fraud Lab and Semantic Science teams, the company leads in developing solutions that cater to the unique needs of brands, advertisers, marketplaces, and publishers. This focus on high-quality metrics and data integrity makes it an ideal workplace for professionals passionate about advancing digital media transparency and effectiveness.

Company Stage

IPO

Total Funding

$981.6M

Headquarters

New York City, New York

Founded

2008

Growth & Insights
Headcount

6 month growth

7%

1 year growth

11%

2 year growth

30%
INACTIVE