3 дня назад
Senior Analytics Engineer (Data)
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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