Senior Data Analytics Engineer

ABOUT THE TEAM: The operations team is a highly strategic and analytical team that helps guide and implement strategic initiatives across the company. We are looking for a Data & Analytics specialist to connect and organize our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts. The ideal candidate will have some background in data engineering. WHAT YOU'LL DO: * Design, build and maintain business-critical data and distributed systems that will provide real time and reliable data to for all of our go to market tools and internal users * Connect our production backend / data to business systems including salesforce, marketo, intercom, google analytics, metabase, etc. This can include working with a data warehouse / data lake, organizing large scale data (we send 10 billion notifications a day), and building ETLs to business systems * Evaluate ways to increase the efficiency of internal data flows and centralize sources of truth * Innovate, design, and build data systems, services, and tools using GCP (Google Cloud Platform) that scale with OneSignal’s products and business requirements * Work cross functionally including with the backend engineering team as well as business teams including operations, product, marketing, sales, customer success, support, finance, etc. * Analyze the data and create data insights and business insights to help move the business as well as assist and empower teams across the company in making data related decisions. * Build data science / machine learning models using internal and external data sources to identify potential new customers, those who are at risk of churn or those with potential upsell opportunities * Work with Airflow, DBT, Presto, Hightouch and introduce the latest tools into our technology stack. Potentially, figure out how to incorporate artificial intelligence into our technology stack. WHAT YOU'LL BRING: * 6+ years of professional experience in a technical area at a high growth startup is preferred * Proficiency with Python and experience with DBT and Airflow is a plus * Self driven and ability to identify problems and implement and identify solutions * A combination of technical and business acumen. The ideal candidate would have an understanding of SaaS metrics and growth company infrastructure scaling challenges * Strong interpersonal and communication skills and experience working cross functionally * The ideal candidate has had experience growing and managing a smaller but high functioning team The New York and California base salary for this full time position is between $170,000 to $190,000. Your exact starting salary is determined by a number of factors such as your experience, skills, and qualifications. In addition to base salary, we also offer a competitive equity program and comprehensive and inclusive benefits.

Design and maintain business-critical data systems and ETL pipelines to provide real-time visibility across various company departments. Analyze data to create business insights and build machine learning models to identify customer churn and upsell opportunities.

Requires over 6 years of technical experience, preferably in a high-growth startup, with proficiency in Python, DBT, and Airflow. Candidates should possess a blend of technical and business acumen, specifically regarding SaaS metrics and infrastructure scaling.

• Equity Program • Comprehensive And Inclusive Benefits

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Python
• Dbt
• Airflow
• Gcp
• Data Engineering
• Etl
• Machine Learning
• SaaS Metrics
• Data Modeling
• Presto
• Hightouch
• Data Analysis
• Data Lakes
• Go-to-Market Strategy
• Customer Success Management
• Metabase (Software)
• Apache Airflow
• Google Cloud Platform (GCP)
• Artificial Intelligence
• Analytics
• Business Acumen
• Business Requirements
• Business Systems
• Software As A Service (SaaS)
• Communication
• Data Warehousing
• Finance
• Sales
• Google Analytics
• Marketing
• Python (Programming Language)
• Operations
• Product Marketing
• Salesforce
• Upselling
• Data Science
• Adobe Marketo Engage

• Data & Analytics
• Technology
• Engineering
• Software
• Management & Leadership
• Data Analytics Engineer
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week