Senior Data Analyst

Summary

Join Blink Health, a rapidly growing healthcare technology company, as a Senior Data Analyst in New York, NY. You will become an expert on company data, recommending ways to present and share it with stakeholders. Responsibilities include driving regular business reviews, performing ad-hoc analytics, and partnering with cross-functional teams. This role requires a Master's degree in a related field and 4 years of experience in data analysis, reporting, SQL, and extracting actionable insights. Additional requirements include 10 years of experience in Python development, building real-time applications, and data integration using various technologies. The position offers remote work flexibility and a competitive salary.

Requirements

• Master's degree in Computer Science, Management Information Systems, Information Systems, or a related field
• 4 years of experience in data analysis
• 4 years of experience with reporting and dashboarding in Tableau
• 4 years of experience with SQL
• 4 years of experience distilling actionable insights from data and identifying and driving related initiatives
• 2 years of experience driving regular business reviews
• Bachelor's degree in Engineering, Computer Science, Information Systems, or related field (or its equivalent)
• 10 years of professional experience as a Data Engineer or related Engineering occupation
• 10 years of experience in Python software development
• 10 years of hands-on experience streaming and building solutions for real-time applications
• 10 years of experience building and maintaining robust and scalable data integration (ETL) pipelines using SQL, EMR, Python, and Spark
• 10 years of experience writing complex, highly optimized SQL queries across large data sets
• 10 years of experience designing and maintaining columnar databases using at least one of the following: Redshift or Snowflake
• 10 years of experience with distributed data processing using at least one of the following: Hadoop, Spark, or Hive
• 10 years of experience utilizing ETL with batch (AWS Data Pipeline or Airflow) and streaming (Kinesis or Kafka)
• 10 years of experience with integration and design for Business Intelligence tools such as Looker or QuickSight
• 10 years of experience creating scalable data models for analytics
• 10 years of experience designing and building data lakes, with continuous improvement examples for automation and simplification across all aspects of the DW environment
• Authority to work permanently in the U.S

Responsibilities

• 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
• 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

Benefits

• Telecommuting (remote work) is permitted
• 40 hours/week, $170,000 - $170,000 per year