Senior Data Analyst

Blink Health Group, LLC seeks Senior Data Analyst in New York, NY.

Duties:

• Become an expert on company data, including understanding the operations and product
  features that generate it.
• Recommend ways to present and share company data with stakeholders
  in a digestible manner.
• Make recommendations on how to better utilize company data and share
  it within the organization.
• Driving weekly, monthly, and quarterly reviews for all stakeholders
  within the company -to articulate what happened and why, and what we’re doing going forward
  to accelerate growth.
• Drive ad-hoc analytics to unlock insights into critical business and client
  questions.
• Develop and help deliver partner business reviews.
• Partner with teams across the company to ensure key growth initiatives are implemented successfully.
• “Know your data” end-end and exhibit exemplary ownership in creating and maintaining data artifacts.

This position requires a Master's degree in Computer Science, Management Information Systems, Information Systems, or a related field and 4 years of experience.

Also requires 4 years of experience with the following: 

• data analysis;
• reporting and dash boarding in Tableau;
• SQL; and distilling actionable insights from data and identifying and driving related initiatives.
• Requires 2years of experience driving regular business reviews.

• Perform peer code and architecture reviews. Design for data integrity, reliability, and performance.
• Set a high bar for clean and correct code, setting code standards.

This position requires a Bachelor's degree in Engineering, Computer Science, Information Systems, or related field (or its equivalent), plus 10 years of professional experience as a Data Engineer or related Engineering occupation.

10 years of experience in each of the following is also required:

• Python software development;
• Hands-on experience streaming and building solutions for real-time applications;
• Building and maintaining robust and scalable data integration (ETL) pipelines using SQL, EMR, Python, and Spark;
• Writing complex, highly optimized SQL queries across large data sets;
• Designing and maintaining columnar databases using at least one of the following: Redshift or Snowflake;
• Distributed data processing using at least one of the following: Hadoop, Spark, or Hive;
• Utilizing ETL with batch (AWS Data Pipeline or Airflow) and streaming (Kinesis or Kafka);
• Integration and design for Business Intelligence tools such as Looker or QuickSight;
• Creating scalable data models for analytics;
• Designing and building data lakes, with continuous improvement examples for automation and simplification across all aspects of the DW environment.

Telecommuting (remote work) is permitted.

40 hours/week, $170,000 - $170,000 per year.

Must also have authority to work permanently in the U.S.

Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref # 71228.