Data science & Analytics jobs

Palo Alto, CA, United States

Data Analytics Specialist

Job description

You will help translate complex findings and results into a compelling narrative about this highly strategic, fast-growing market. If you’re passionate about leveraging data to drive business and product decisions, we want to hear from you. The ideal candidate has an eye for detail, great communication, a keenness for problem solving, and a passion for technology in education markets.

Requirements & Responsibilities

  • Strong analytical thinking and communication skills.
  • Experience guiding product decisions based on data and A/B testing.
  • Proactiveness and ability to learn quickly.
  • Familiarity with SQL or other querying language.
  • Familiarity with Tableau or dashboarding software
  • Passion for creating highly usable and thorough dashboards/visualizations to be consumed by executives and engineers.
  • Confidence with a statistical programming language (e.g. R, Python, Stata,or Matlab).
  • What we offer

  • Stock
  • Competitive salaries
  • Quarterly employee travel coupon
  • Paid time off
  • Medical, dental, & vision insurance
  • Life insurance and disability benefits
  • Fitness Discounts
  • 401K
  • Flexible Spending Accounts
  • Apple equipment
  • Commuter Subsidies
  • Community Involvement (4 hours per month to give back to the community)
  • Company sponsored tech talks and happy hours
  • Much more...
  • Data Engineer

    Job description

    Blocksi is seeking an experienced Data Engineer/ETL specialist to join the data science team. This person would contribute to the vision for data infrastructure and business intelligence tools, work with engineers and data scientists to optimize logging, and establish best practices for table schemas and data storage.

    Requirements & Responsibilities

  • Expertise in building and maintaining reliable ETL jobs
  • Proven ability to work with varied forms of data infrastructure, including relational databases (e.g. SQL), Mapreduce/hadoop, and column store (e.g. Vertica/Redshift)
  • Expert knowledge of SQL/Hive, Pig/Cascading a plus
  • Strong CS fundamentals
  • Work closely with engineers to design and maintain scalable data models and pipelines
  • Develop and maintain cross-platform ETL processes
  • Optimize table schemata based on usage patterns
  • Lead development of architecture and standards for a business metric warehouse
  • Work with data scientists to develop a scalable data visualization platform
  • Help data scientists optimize productionized Pig and Hive queries
  • Implement systems for tracking data quality and consistency
  • What we offer

  • Stock
  • Competitive salaries
  • Quarterly employee travel coupon
  • Paid time off
  • Medical, dental, & vision insurance
  • Life insurance and disability benefits
  • Fitness Discounts
  • 401K
  • Flexible Spending Accounts
  • Apple equipment
  • Commuter Subsidies
  • Community Involvement (4 hours per month to give back to the community)
  • Company sponsored tech talks and happy hours
  • Much more...
  •  

    Let us consider you!