Sr. Business Intelligence Analyst

Location: West Hollywood, CA

Department: Analytics

Type: Full Time

Min. Experience: Experienced

Education  :  Bachelors in STEM discipline preferred (can be substituted with relevant work experience)
Level           :  4+ yrs of querying experience AND at least 2 years of experience in an internet company.

Responsibilities

  • Produce monthly reporting outputs for Finance and business operations.
  • Own business and revenue forecasting and reporting.
  • Respond to ad-hoc requests.
  • Possess a deep understanding of all internal information systems, data warehouses, backends and the relationships between these.

Minimum Skills

  • Data design and modeling.
  • Strong SQL competence for querying large data sets
    • Fluency in standard SQL vocabulary : Primary key, Foreign key, Index, Unions, Case etc
    • Inner, outer, left and right Joins (You know how to avoid cartesian product)
    • Scalar & Aggregate functions.
    • Sub queries
    • Data binning and distribution
  • Skilled at data wrangling tasks including classifying, cleaning, normalizing etc.
  • UNIX shell scripting for automation (preferred)
  • Excel skills - advanced
    • (v/h) lookups
    • pivot tables
    • Advanced formulae (examples : sumifs,match,index,etc,concat)
    • VBA for automation
  • Understanding and application of the following on large granular data sets.
    • Set Theorem & Boolean Logic
    • Permutations
    • Probability & Bayes Theorem (nice to have!)

 

Personal & intellectual attributes

  • Personality: Curiosity, hunger, persistence and high integrity.
  • You are able to recognize logical fallacies in assumptions in self and others when modeling for business.
  • You have strong deductive logic and quantitative skills that enable you to solve problems for business users (form and test hypotheses, A/B testing etc)
  • You understand the potential in raw data and want to mine large quantities of it.
  • You listen to business users and want to solve for complex questions and problems they face.
  • You are self motivated and have the drive and confidence to thrive in an unstructured environment (think startup).
  • You are customer centric and are therefore platform agnostic; you do what it takes to collect the raw data you need.

 

 

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