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3 дня назад

Senior Analytics Engineer (Data)

200 000 - 250 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Analytics Engineer (Data) (Financial Analytics and Data Platforms): Designing complex financial data models, analytical pipelines, dashboards, and self-service analytics tools with an accent on cloud data processing, orchestration, and business intelligence. Focus on transforming large-scale datasets, building reliable models with Airflow and dbt, and translating stakeholder requirements into forecasts, metrics, and analytical solutions.

Location: New York, New York, United States. Hybrid arrangement with telecommuting permitted up to 2 days per week; office attendance is required at 3 World Trade Center on other days.

Salary: $200,000–$250,000 gross per year, plus equity and benefits.

Company

hirify.global operates a global marketplace for buying and selling tickets to live events, serving customers in 195 countries.

What you will do

  • Design, implement, and enhance complex financial data models and analytical pipelines using Airflow and dbt.
  • Transform and analyze large-scale datasets with SparkSQL, BigQuery, Snowflake, and Databricks.
  • Develop and maintain analytical models, metrics, datasets, and data processing solutions for downstream reporting.
  • Create reports, dashboards, and self-service analytics tools with Tableau and Looker.
  • Partner with business, product, and engineering stakeholders to translate data requirements into analytical solutions.
  • Produce financial insights, forecasts, and models while maintaining analytical code in Python, Java, and YAML.

Requirements

  • Bachelor’s degree or U.S. equivalent in Data Science, Finance, Business Administration, or a related field.
  • At least 3 years of professional experience in analytics engineering, data engineering, business intelligence, or a related analytics role.
  • At least 3 years of experience with large-scale data transformation and analysis using SparkSQL, BigQuery, Snowflake, and Databricks.
  • At least 3 years of experience with SQL, Python, and YAML, plus data processing, cataloging, and metadata management.
  • At least 3 years of experience building data models and pipelines with Airflow and dbt.
  • At least 3 years of experience creating BI reports and dashboards with Tableau and Looker and working with non-technical stakeholders.

Culture & Benefits

  • Hybrid work arrangement with up to 2 telecommuting days per week.
  • Equity participation and a 401(k) plan.
  • Paid time off and paid parental leave.
  • Comprehensive health benefits.
  • Equal opportunity workplace focused on diversity and inclusion.

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