Analytics Engineer
Sydney
Applications have closed
SafetyCulture
Digitize & improve elements of your operations. Give your teams the knowledge, tools & confidence to work safely & meet higher standards.We are building a mobile-first operations platform that gives workers a voice, and leaders visibility, to make better decisions in the workplace every day. Our mission is to unite teams to become a force for improvement in any organisation.
Headquartered in Sydney, SafetyCulture has six offices around the world and over 70,000 customers.
As part of the Data & Analytics team, you’ll use your skills to help us understand what’s working for our customers, what’s not, and what we need to do next to improve our products and growour business.
Working as an Analytics Engineer, you will provide reliable, accurate & quality data sets to the Analytics team, as well as model data in a way that facilitates and makes the work of the data analysts more efficient and empowers end users to answer their own questions.
What you'll do
- Deliver clean, transformed, tested, documented, and code-reviewed data sets to be consumed by the Internal analytics team and SMEs in the business.
- Apply software engineering best practices to clean data sets from the data warehouse to end users (for example: version control, testing, continuous integration & documentation)
- Use SQL and Python for efficient data loading and transformation.
- Manage and optimise data infrastructure at scale (Fivetran, Redshift, dbt, Hightouch).
- Create and maintain documentation of data models and data pipelines.
- Develop scalable frameworks for data ingestion, data transformation processes and data modelling standards across data analytics team
- Work closely with the Data Engineers and Software Engineers to ensure the correct ingestion of new product feature data
- Aggregate, and integrate data from a variety of sources
- Help shape our analytics engineering practices, ensuring reproducibility, observability and quality control.
- Contribute to fostering an open, positive atmosphere within the team, promoting collaboration, learning, and growth.
What you'll need
- Experience with cloud-based technologies Redshift, dbt or equivalent.
- Advanced SQL - comfortable with window functions and CTEs
- Python coding and data modelling skills ((Kimball, Vault, etc).
- Strong communication and stakeholder management skills
- Curiosity and self-drive to continuously learn new techniques and tools to extract value from data.
- High level of comfort with ambiguity and ability to work in a fast-paced, agile environment in which you rapidly adapt and learn for any given business problem
- Familiarity with a wide set of data warehousing principles, including architecture, methodologies, schemas, performance/optimization principles, and best practices.
- Intellectual curiosity and an understanding of what drives customer outcomes and has a positive impact on the business
- Experience with designing and creating data models in SaaS industry using Star Schema or Data Vault.
- Experience working with event-oriented data sets of large size and diverse schemas.
Nice to have
More than a Job
- Equity with high growth potential, and a competitive salary
- Flexible working arrangements, we encourage you to create the best work blend while working from your home and the local SafetyCulture office
- Access to professional and personal training and development opportunities
- Hackathons, Workshops, Lunch & Learns
- We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies
Office Benefits
- In-house Culinary Crew serving up daily breakfast, lunch and snacks
- Barista coffee machine, craft beer on tap, boutique wines and a range of non-alcoholic beverages
- Wellbeing initiatives such as subsidised fitness programs, EAP services and generous parental leave policy
- Quarterly celebrations and team events, including the annual Shiplt global offsite
- On-site gym, table tennis, board games, books library, and pet-friendly offices
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Data Analytics Data pipelines Data warehouse Data Warehousing Engineering FiveTran Open Source Pipelines Python Redshift SQL Testing
Perks/benefits: Career development Competitive pay Equity Fitness / gym Flex hours Home office stipend Parental leave Pet friendly Snacks / Drinks Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs