Senior Data Analyst

New York, NY

Full Time

Experienced

Essential Functions

Devise mathematical modeling of complex business operations data to extract meaningful insights/recommendations that drive business decisions, growth, and monetization opportunities.
Present the results of data analysis and modeling to stakeholders along with solutions and recommendations.
Design and build the robust data pipelines that collect/manage/transform first-party and third-party data with a high level of integrity, maintainability and scalability, which support broad applications.
Participate in the design, development, and deployment of data products (such as vetting tools with machine learning that helps the marketing team to identify the sales potential of prospective books and segment tools to allow the e-mail team to segment subscribers based on a granular understanding of their behavior patterns) and Tableau reports that democratize business intelligence and foster workflow automation across the organization.
Create and maintain reports that detail operational performance (e.g. sales diagnosis, cost trend, customer acquisition ROI).

Requirements

Bachelor’s degree in analytics, economics, finance, mathematics, or a closely related quantitative and analytical field, and two years of experience in analytics and data reporting.
Alternatively, a master’s degree in analytics, economics, finance, mathematics, or a closely related quantitative and analytical field.
Functional knowledge of multivariate statistical and machine learning modeling techniques.
Proficiency with SQL skills for data extraction, manipulation, and insights analysis.
Proficiency with Google Analytics, Tableau, or Sailthru.
Proficiency with Python and R for building data products.
Proficiency with mathematical modeling of complex business operations data.
Proficiency with designing and building robust data pipelines using Python, SQL, Airflow, Snowplow, Terraform, BigQuery, GCP Pub/Sub, MySQL, Redshift, EC2, AWS Lambda, Django, Spark, DeltaLake, S3, Apache Spark, Git, Prometheus, Docker, Poetry, dbt, or Scrapy.
Functional knowledge of fine-tuning relational databases (e.g., MySQL or Redshift) for high performance, data extraction, manipulation, and insights analysis.
Functional knowledge/proficiency may be gained through any combination of educational coursework, internship, training, or work experience.

Compensation

Salary will be commensurate with qualifications and experience.
The salary range will be $111,966.00 to $120,000.00 a year.

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