Sr. Data Analyst
Posted on 3/26/2024
INACTIVE
Pinterest

5,001-10,000 employees

Visual discovery engine for finding ideas
Company Overview
Pinterest stands out as a unique platform that harnesses the power of visual discovery, offering an extensive dataset of over 200 billion ideas, making it a treasure trove for those seeking inspiration in various aspects of life. The company's culture is rooted in creativity and inclusivity, fostering an environment where over 430 million global users can explore, plan, and actualize their dreams. With its unique blend of technology and creativity, Pinterest has positioned itself as a leader in the social media industry, providing a distinct and personalized user experience that sets it apart from competitors.
Data & Analytics
AI & Machine Learning
Consumer Goods

Company Stage

N/A

Total Funding

$2.9B

Founded

2010

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

12%

1 year growth

20%

2 year growth

46%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Airflow
Data Science
Apache Spark
SQL
Tableau
Pandas
Apache Hive
REST APIs
Hadoop
NumPy
Data Analysis
Snowflake
CategoriesNew
Data Engineering
Data Analysis
Data & Analytics
Requirements
  • Hands-on experience in principled data warehouse design, data visualization and data pipeline design and development
  • 5+ years of hands-on experience with data platforms (Hadoop, Hive, Presto, Spark and Snowflake ) and with data visualization (Tableau) technologies
  • Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets
  • Working knowledge of Airflow and associated python data libraries (Pandas, NumPy, Matplotlib, etc.)
  • Demonstrated product owner mentality - proactively understanding customer pain points and delivering solutions
  • Strong ability to set and reset priorities - work independently
  • Bachelor’s degree in Computer Science, Data Science, Statistics, or equivalent experience
Responsibilities
  • Build scalable data assets (dashboards, underlying data models, and workflows) to unlock reliable and high velocity decision support that our customers provide to the rest of Pinterest
  • Collaborate with both central technical teams and business stakeholders bridging the gap between business problem and technical solution
  • Bring engineering rigor to various analytics initiatives by building scalable solutions and following SDLC best practices
  • Navigate bottlenecks, scales for efficiency, and optimizes for clarity for the team; proactively unblocks roadblocks on cross-functional coordination and org alignment issues
  • Defines project scope for complex issues