Senior Data Analyst
Technical Solutions
Posted on 3/27/2023
INACTIVE
Datadog

5,001-10,000 employees

Monitoring platform for cloud applications and services
Company Overview
Datadog stands out as a leading monitoring platform for cloud applications, offering comprehensive observability of data from various sources, which aids DevOps teams in preventing downtime and enhancing user experience. The company's culture emphasizes technical excellence and problem-solving, fostering an environment that encourages continuous learning and growth. With its unique ability to analyze and explore logs for rapid troubleshooting, Datadog holds a competitive edge in the industry, demonstrating its commitment to technical innovation and industry leadership.
Data & Analytics

Company Stage

N/A

Total Funding

$147.9M

Founded

2010

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

6%

1 year growth

16%

2 year growth

66%
Locations
San Francisco, CA, USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
BigQuery
SQL
Tableau
Looker
Data Analysis
Snowflake
CategoriesNew
Data & Analytics
Requirements
  • You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience
  • You are fluent in writing analytical SQL, are able to write complex queries with no assistance, and have used Business Intelligence tools such as Metabase, Looker, or Tableau
  • You are a clear, concise communicator who is able to explain complex datasets or queries to non-technical people in understandable ways
  • You are curious and have an investigative mindset - driven to know “why”
  • You have experience working with large customer and product data
  • (Senior Level) You have 5+ years of related analytics experience and are familiar with data management in warehouses such as Snowflake, Redshift, or BigQuery
Responsibilities
  • Build actionable data reports and visualizations that will help the TS Leadership and the TS Operations teams, and facilitate data-driven strategic decision-making
  • Build actionable, well documented, and easy-to-use data models with dbt
  • Run deep data analyses and investigations
  • Present findings to managers and executives
  • Train other employees to use data to answer questions without assistance