Analytics Engineer
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Full-time
USD75.4K - 100K/year
~COP150M - 200M/year
+ Equity
+ Bonuses
Posted about 3 years ago
Responsibilities
Koala is a company that combines customer-centric products, a world-class technology and fulfillment platform, incredible customer service and social good to change the way people buy and enjoy furniture. They are BCorp Certified, have a partnership with WWF, are a member of SoftLanding and offer generous time off, flexible hybrid working, monthly barbies and a stocked kitchen, pet-friendly environment, free Koala products with ‘mates rates’ for your friends and family, support & wellbeing programs, career acceleration partnerships with RMIT, and a community & connection focus.
Koala is looking for an Analytics Engineer with extensive data engineering and analytics skills to join their Data & Analytics team. The role involves developing and implementing data-driven strategies that enable effective usage of data across Koala and drive tangible business outcomes. The ideal candidate will have 5+ years of experience in Data Engineering, Data Analytics or a related role within a fast-paced environment, ideally coming from an eCommerce background.
Responsibilities:
- Responsible for all aspects of the data lifecycle, from data collection and cleaning to analysis and visualisation
- Own, maintain and improve Koala’s Data Architecture
- Identify data sources and gather data from various systems and platforms
- Prioritise and scope new data sources that will enhance business intelligence, operations and analysis
- Build core datasets in the cloud-based enterprise data warehouse (using SQL) to enable power users to analyse/report and support reverse ETL use cases
- Build and maintain key reports and dashboards to communicate insights and findings, and support the business in performance tracking and quickly identifying issues
- Ensure data quality, accuracy, and consistency by developing and implementing data governance and data management best practices
- Continuously improve data pipelines and data analysis processes to drive efficiency and effectiveness
- Work with stakeholders to identify key business questions and objectives and develop data analytics strategies to support them
- Collaborate with cross-functional teams to implement data-driven solutions that improve business performance
- Work with internal teams and external partners to perform robust deep dives that bring light to complex problems
- Partner with senior stakeholders across the business to provide the necessary insight to influence critical decisions and strategies that grow Koala