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...

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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...

APPLY