Principal managing analytics engineering projects for private equity, leveraging AI technology. Leading cross - functional teams and contributing to business development in a hybrid work environment.
About the role
- Senior Analytics Engineer responsible for data modelling and architecture for Zable app. Collaborating with teams to enhance data-driven decision-making and product growth.
Responsibilities
- Overseeing the data modelling architecture and implementation for the Zable app
- Proactively identifying opportunities to improve model performance, cost efficiency, and reliability.
- Partnering closely with marketing and product teams to translate business goals into robust models and actionable insights.
- Driving the development of our DBT models, collaborating with analysts and stakeholders to enhance their efficiency in gaining insights.
- Supporting and mentoring analysts at all technical levels to accelerate their development and improve their engineering skills.
- Communicating analysts' needs to the data platform team to prioritise our roadmap effectively.
- Acting as a liaison between backend engineers and product teams to understand data generation and its significance, while leading the triage of any issues affecting the analytics pipeline.
- Contributing to the overall data platform strategy to ensure our features are relevant, impactful, and maintain the highest data quality standards.
Requirements
- Strong proficiency in data modelling and a deep understanding of data analysis.
- Strong business acumen, with the ability to understand commercial drivers and ensure data solutions align with broader product and business goals
- Strong experience with ELT, focusing on transformations at scale, preferably with DBT
- Extensive experience with Snowflake or alternative data warehouses.
- Ability to independently identify and implement opportunities for improving the efficiency and cost-effectiveness of our data transformation pipeline.
- Capacity to balance long-term platform improvements with daily operational needs.
- Able to upskill and mentor non-technical colleagues in analytics engineering.
- Strong communication skills for effective collaboration with business analysts and stakeholders, translating business requirements into technical solutions.
Benefits
- Innovative Environment: Work on an early-stage project that sets the foundation for our data future.
- Best-in-Class Tools: Access cutting-edge technologies in data engineering, including Snowflake, DBT, and Fivetran.
- Collaborative Team: Join a team of passionate experts pushing the boundaries of data engineering at Lendable.
- Impactful Work: Experience the direct influence of your contributions on company decisions and outcomes.
- Culture of Excellence: Be part of a culture that emphasises quality, innovation, and results.
- Diverse Projects: Engage in a variety of projects, ensuring continuous challenges and engagement.
Job title
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