As an analytics engineer you will be responsible for both implementing new analytics infrastructure and making improvements to our existing systems. You will ensure delivery of solutions on-schedule following modern best practices, using DBT, continuous integration, linting and testing. This position requires you to deliver clean, maintainable, and extensible code and interface with operators to understand their needs.
Monarch is looking for a Data Analyst to support our growth & marketing teams and to enable data-driven decision making by building timely and accurate dashboards and reports, diving deep into campaign performance, and contributing to our data infrastructure. The candidate should thrive in a fast-paced environment, be comfortable in ambiguous situations, and can build something new when what is needed doesn’t already exist.
Build data infrastructure to enable more timely and personalized engagement with individuals living with SMI at scale. This allows the team of peers, social workers, and nurse practitioners to plan appropriate care and focus on critical tasks rather than manually searching for information across silos in the healthcare system. This is a unique opportunity to found and define the data engineering team, stack and architecture, with a high caliber product and data team that is growing quickly.
Lead large, multi-month analytics infrastructure projects. Responsibilities include monitoring and optimizing complex DBT job structures, designing multi-domain marts, developing complex metrics on big datasets using DBT and the DBT semantic layer, building automated data quality monitoring, and creating scalable, self-service analytics infrastructure.
Partner closely with Audit and cross-functional stakeholders to design, implement, and evaluate analytics that assess the effectiveness of controls. Conduct rigorous data validation and QA processes to support internal audits, regulatory exams, and control testing. Build reproducible testing frameworks and metrics dashboards that improve visibility and transparency for audit outcomes.
The Business Enablement team leads technological advancement while ensuring robust security and compliance, delivering user-friendly corporate applications and managing complex data ecosystems. As Data Analytics Engineer, design, build, and optimize data pipelines, perform data investigations, and provide insights that empower strategic decision-making. In this role you will collaborate with data analysts, engineers, and healthcare professionals.
Seeking an experienced analyst who thrives at the intersection of technical expertise and marketing strategy to join our data team. In this role, you'll own the lifecycle and marketing analytics domain within our fintech ecosystem, turning complex customer lifecycle data into pipelines and clear narratives that drive decision-making at all levels. The ideal candidate is both technically proficient and marketing-savvy.
Transform customer lifecycle data into actionable insights that drive marketing success. You will own the lifecycle and marketing analytics domain, building dashboards, analyzing campaigns, and measuring program effectiveness. The ideal candidate is technically skilled and eager to deepen their marketing analytics expertise, comfortable writing efficient SQL queries and presenting clear insights to stakeholders.
You will be joining the AI team at an exciting moment, leading the charge in building Snowplow Signals, their new solution for enabling real-time, AI-powered customer experiences. Your work will contribute to the infrastructure that powers these capabilities, unlocking value from behavioral data in real time. Alongside this, you’ll work on the foundational components that continue to make Snowplow powerful and flexible for data teams.
Leverage Data Mining techniques to find key business insights; developing and improving Data Science models. Collaborate with Program Managers to explore new data product ideas or enhancements. Work with Machine Learning Engineering team to train, validate and deploy ML products. Become an expert in Autodesk data.