Data Analysts

Autoroboto

Mountain View (CA)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Job summary

A tech company in Mountain View is seeking a Data Analyst to work closely with engineers on complicated datasets. The role involves analyzing data quality, designing prediction algorithms, and generating insights to drive business improvements. Ideal candidates should have a Bachelor's degree in a quantitative field and fluency in Python and SQL, along with familiarity with Big Data tools. This is an exciting opportunity to join a talented team committed to innovation.

Qualifications

  • Bachelor's degree or equivalent in Statistics, Mathematics, Computer Science, or Engineering.
  • 1-2 years of experience in quantitative analytics or data modeling.
  • Fluent in Python and SQL.
  • Familiar with Big Data frameworks.

Responsibilities

  • Analyze raw data: quality assessment, cleansing, structuring.
  • Design scalable prediction algorithms.
  • Collaborate with engineering to produce analytical prototypes.
  • Generate actionable business insights.

Skills

Data analysis
Collaboration
Data modeling
Programming (Python, SQL)

Education

Bachelor's degree in a quantitative field

Tools

Cassandra
Hadoop
Spark
Tableau

Job description

This is an exciting position to work on a very talented team of engineers. The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex datasets to ask the right questions and find the right answers. Additionally you enjoy putting the results of your work into meaningful reports that are then presented to the team.


Responsibilities
  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing
  • Design accurate and scalable prediction algorithms
  • Collaborate with engineering team to bring analytical prototypes to production
  • Generate actionable insights for business improvements

Qualifications
  • Bachelor's degree or equivalent experience in quantitate field (Statistics, Mathematics, Computer Science, Engineering, etc.)
  • At least 1 - 2 years' of experience in quantitative analytics or data modeling
  • Fluency in a programming language (Python and SQL)
  • Familiarity with Big Data frameworks and visualization tools such as (Cassandra, Hadoop, Spark, Tableau)
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