Rarefied talent in data science, data technology, and analytics

Data Analyst, Asset Strategy & Optimization


Job Description

The "Asset Strategy & Optimization" team is chartered with optimizing the cost and utilization of all hardware for the Facebook.com website, one of the largest in the industry. We are looking for a strong team player who can lead automation efforts and provide metrics by implementing dashboards, scripting through SQL and/or PHP, learn to create user interfaces and tools to optimize and scale a program that reduces opex and capex costs. 

In this role you will work cross functionally with all Infrastructure and Finance teams understanding financial impacts, data quality, and disposal of gear that surrounds the management of hardware assets. Successful candidates for this team have a bias toward action, enjoy finding patterns amid chaos, making quick decisions, and are up for a challenge.


  • Work with internal technical operations teams to define metrics, automate data collection, synthesize relevant data, build analytical models and forecasts

  • Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, and Excel to drive efficient analytics and reporting and performing data extraction from mysql/oracle/hive leveraging an extremely large data set

  • Perform and report logical audits of datacenter server hardware to ensure accurate data for business reporting. This includes collaborating with Datacenter Logistics to compare against physical audits and drive changes to systems or processes

  • Analyze data to identify trends to drive scalable solution

  • Help with data reconciliation efforts needed to ensure a clean baseline data set

  • Create and/or assist in the creation of data dashboards related to asset utilization, end of life, data accuracy

  • Support decommissioning cycles with identifying hardware for disposal, repurposing or remarketing to ensure maximum value received for hardware

  • Create or update SQL tables as required


  • BA/BS degree or Technology experience of 2+ year

  • Strong Excel and SQL skills

  • Strong in statistics fundamentals, set theory and relational algebra


  • Experience of 2+ years of programming and/or SQL

  • Demonstrated problem solving ability with experience providing practical business insights from large, complex data sets

  • Experience in Technical Operations department desired

  • Understanding Datawarehousing concepts, ETL, OLAP vs. OLTP, Slowly Changing Dimensions a big plus

  • Reporting / Dashboarding with any BI tool (Microstrategy, Tableau, Business Objects etc.) a plus

  • Understanding of servers, storage and/or hardware that supports a large scale website

  • Experience with at least 1 scripting language(C++, JAVA, PHP, PERL, PYTHON etc.) desired

  • Provide strong interpersonal skills while acting under diverse roles: liaison, consultant, leader, peer, owner, customer, etc.

  • Able to work in an extremely high volume, high energy environment

Interested in this position?
Job Location
1 Hacker Way
Menlo Park, CA 94025
Additional Job Details
Employment Type:
Full Time