69 applicants

Company

BlinkRx · 9 hours ago

Senior Data Analyst

New York, NY

Full-time

Remote

Senior Level, Lead/Staff

$170K/yr - $170K/yr

10+ years exp

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E-CommerceHealth Care

No H1B

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data analysisSQLPython software developmentTableauETL pipelinesData integrationReal-time applicationsBusiness Intelligence toolsLookerQuickSightRedshiftSnowflakeHadoopSparkHiveAWS Data PipelineAirflowKinesisKafka

Required

Master's degree in Computer Science, Management Information Systems, Information Systems, or a related field

4 years of experience

4 years of experience with data analysis

4 years of experience with reporting and dash boarding 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

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

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 in 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 in 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.