Engineering Manager overseeing analytics engineering and building data - driven solutions for healthcare data interoperability. Collaborating with cross - functional teams to enhance healthcare workflows.
About the role
- Analytics Engineer at Lendable, focusing on data foundations for credit card and personal loan products. Collaborate with cross-functional teams to drive user acquisition and business partnerships.
Responsibilities
- Owning our suite of external partner data reports, critical to the functioning of our relationships with origination partners.
- Building and maintaining DBT models to transform raw data into reliable datasets for analysis.
- Collaborating closely with analysts to design data models that make reporting and insights easier.
- Working with product and marketing teams to ensure new features, products and campaigns are properly instrumented.
- Investigating and fixing issues in our analytics pipelines to keep data accurate and up to date.
- Helping document data sources, models, and best practices so the team can move faster.
- Learning from and collaborating with senior engineers and analysts to improve your technical skills.
Requirements
- Good SQL skills and some experience with data modelling.
- Familiarity with DBT (or willingness to learn).
- Exposure to modern data warehouses like Snowflake, BigQuery, or Redshift.
- An analytical mindset, with the ability to translate business questions into data solutions.
- Willingness to learn and grow in a fast-paced environment.
- Strong communication and collaboration skills, especially when working with non-technical stakeholders.
- Experience communicating and collaborating with external stakeholders a nice to have.
Benefits
- Best-in-class tools: Work with Snowflake, DBT, and Fivetran to deliver reliable data at scale.
- Collaborative environment: Join a cross-functional team of analysts, engineers, and product managers.
- Room to grow: Learn from experienced colleagues with opportunities to expand your technical and business expertise.
- Varied projects: Get hands-on experience across marketing, business development and product analytics.
- Health insurance
- Best-in-class compensation, including equity.
- Fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
- Opportunity to scale up one of the world’s most successful fintech companies.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Analytics Engineer designing and building analytics solutions for GE HealthCare's AVS segment. Focusing on AI and digital innovation across healthcare data solutions.
Staff Data Scientist at GoodLeap guiding business strategy through data analysis and collaboration with stakeholders. Seeking impact - oriented professional comfortable balancing priorities.
Staff Analytics Engineer supporting data enablement and operational reporting for Corporate teams at GoodLeap. Collaborating with stakeholders and developing datasets and dashboards for analytics solutions.
Senior Analytics Engineer shaping the data platform for an online marketplace through dbt models in Snowflake. Collaborating with teams to ensure data quality and facilitate reporting.
Analytics Engineer responsible for building data models and supporting analytics in fintech. Transforming raw data into clean datasets for decision - making in a collaborative environment.
Analytics Engineer at PermitFlow working on data infrastructure for scalable business intelligence. Collaborating with product teams and senior analytics staff in a hybrid role.
Lead Analytics Developer responsible for enterprise BI and analytics solutions in defense and health sectors. Design, implement, and optimize analytics architectures and ETL pipelines.
Analytics Engineer responsible for building Data - Warehouse and optimizing processes for an e - commerce startup. Collaborating closely with management and driving data - driven decisions in Hamburg.
Analytics Engineer at Lendable developing data infrastructure for operational teams. Focused on AI - assisted analytics and scalable decision - making in fintech environment.