Role overview
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!
Your opportunity
We're looking for a Senior Data Engineer to drive deep business understanding and leverage data to identify critical business checks, anomalies, and define key business rules. You will play a pivotal role in bridging the gap between business needs and technical execution, working closely with ML and Data teams to translate insights into robust data solutions and define compelling project definitions. This role is crucial for enabling both internal teams and New Relic customers to gain trusted and actionable insights from data, driving strategic business outcomes.
What you'll work on
- Deeply understand business processes, objectives, and challenges to identify key business metrics and opportunities for data-driven improvement.
- Proactively identify and analyze business anomalies, conducting root cause analysis and recommending corrective actions.
- Define and document clear, actionable business rules to ensure data quality, consistency, and integrity across systems.
- Collaborate closely with ML and Data Engineering teams to translate business requirements into technical specifications for data pipelines, models, and analytical solutions.
- Lead the definition and scoping of data-driven projects, including business use cases, success criteria, and key deliverables.
- Develop and implement robust data validation and quality checks to ensure the accuracy and reliability of business-critical data.
- Design and build insightful dashboards and reports that provide business stakeholders with actionable insights and monitor key performance indicators.
- Contribute to internal and customer-facing data product strategy, focusing on business value and user adoption.
- Lead incident response for data quality or business rule issues, conducting root cause analysis and implementing preventative measures.
This role requires
- 5+ years of experience in data analysis, with a strong emphasis on business analysis and defining business rules.
- Proven ability to deeply understand business processes and translate complex business problems into data analysis requirements.
- Strong analytical skills with experience in identifying anomalies, trends, and patterns in large datasets.
- Proficiency in SQL for data extraction, manipulation, and analysis.
- Experience with data visualization tools (e.g., Tableau, Looker, Power BI) for creating impactful dashboards and reports.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with business stakeholders, ML engineers, and data engineers.
- Ability to think productively and partner with business and AI teams to drive data-driven solutions.
- Familiarity with data governance principles and best practices.
Bonus points if you have
- Experience working with ML/AI teams on defining data requirements for model development and deployment.
- Understanding of data pipeline concepts and ETL/ELT processes.
- Exposure to cloud data platforms (e.g., Snowflake, BigQuery, Redshift).
- Experience with statistical analysis or data modeling techniques.
Please note that visa sponsorship is not available for this position.