SafetyCulture is a customer and product-led SAAS company, our mission is to help working teams get better every day.
Our technology platform and products give front line workers a voice and leaders the visibility to make smart decisions when driving safety, quality and continuous improvement.
We're seeking a Senior Analytics Engineer to be part of the Internal 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 grow our business.
The Senior Analytics Engineer at SafetyCulture is responsible for empowering the Data Analytics team with the right data model for their needs, enabling them to find insights that can make a change to SafetyCulture as a company.
This is a key role in keeping the organization's knowledge organized, easily accessible, and accurate.
You will collaborate with different stakeholders across the business (Finance/Marketing/Sales) to turn billions of rows of source data into highly valuable datasets and data products.
SafetyCulture is expanding rapidly which requires the Analytics Engineer to integrate different systems and datasets from differing business contexts.
What you will be doing: You will apply software engineering methodologies to our analytics stack; Ensure that our datasets are maintained with the right level of testing and validation for data quality; Maintain, operate, and tune the infrastructure (dbt, Redshift, Airflow, Hightouch, Fivetran); Work closely with Data Analysts to support them in their daily work to ensure our datasets can support the business in what they're trying to achieve; Promote our data warehouse as the central source of truth within SafetyCulture and build a data-driven culture across the business; Guide business users on how to use our data platform.
The successful applicant will bring to the role: Experience in dealing with very large datasets in a cloud platform (Preferred AWS); Experience with modern data warehouse technologies (Redshift, Snowflake, BigQuery); Advanced SQL, Python/Jinja coding experience; Knowledge of data modelling methodologies (Kimbal/Inmon/Data Vault/Activity Schema); Knowledge of data warehousing principles e.g.
DAG architecture, schemas, performance and optimisation; Understanding of the differences between ELT/ETL, and the implications on the analytics team and the business; Strong communication and stakeholder management skills with the ability to regularly influence and guide decisions; 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.
What do I get access to when working at SafetyCulture?
Hybrid working; 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.
Participation in hackathons, workshops, and lunch & learn sessions.
Community involvement, open source work, attending talks and events, and experimenting with new technologies.
What are the 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.
Quarterly celebrations and team events.
Table tennis, board games, book library, and pet-friendly office.
We're committed to building inclusive teams and cultivating a sense of belonging so our people can bring their whole authentic selves to work each day.
We seek to make reasonable adjustments throughout our recruitment process to create an even playing field for all candidates.
Thanks to the tireless efforts of the entire SafetyCulture team we've built an incredible culture which has seen us recognised as a Best Place to Work in Australia, the US and the UK.
To all recruitment agencies, we do not accept resumes or partnership opportunities.
Please do not forward resumes to SafetyCulture or any of our employees.
We are not responsible for any fees associated with unsolicited resumes.
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