Data Analyst
2 days ago
**About Hapana**
Hapana is a rapidly growing software solution within the fitness industry, revolutionising the operations of multisite boutique businesses like F45, Gold’s Gym, BFT, STRONG Pilates, Vive Active, KX Pilates, and more. Our dedication to enhancing member experiences, coupled with unparalleled support, has earned us a reputation that spans over 17 countries.
We're committed to fostering growth for our teams and clients through innovation and teamwork. Our business prides itself on its fast growth and dynamic industry, so we require humans with a vision to work with our small but mighty team. As a global company, we rely on open communication and people speaking up. Bring ideas, passion, and creativity to the role, and you’ll fit right in.
**Job Summary**
We are seeking a talented Data Analyst to join our team. In this role, you will analyse complex datasets from multiple sources, including internal systems and third-party integrations, to provide actionable insights that drive business decisions. You will work closely with our product, engineering, and customer success teams to ensure that data is effectively utilised across the organisation_._
Collaborate with a diverse team to develop the next generation of Hapana fitness management software for global markets. Assist in designing and constructing data repositories and pipelines. Create and implement tailored reports and dashboards.
**Key Responsibilities**
- Analyse and interpret complex data sets from various sources to identify trends, patterns and insights.
- Develop and maintain dashboards and reports using GoodData and other tools.
- Collaborate with cross-functional teams to understand data needs and deliver insights that drive decision-making.
- Ensure data accuracy, integrity, and consistency across all analyses.
- Support ad-hoc data requests and provide insights to improve business processes.
- Troubleshoot and resolve data-related issues, ensuring timely and accurate delivery of data.
- Maintain ETL processes to support data integration and transformation.
- Document data processes and provide training to team members as needed
**Qualifications & Requirements**
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- 2+ years of experience in a data analyst role, preferably in a SAAS or technology-driven
- environment.
- Proficiency in SQL, Excel, and data visualisation tools (GoodData experience is a plus).
- Strong analytical skills with the ability to translate complex data into actionable insights.
- Excellent communication skills with the ability to present findings to both technical and non-technical stakeholders.
- Experience with data integration from multiple sources is highly desirable.
- Ability to manage multiple tasks and work independently in a fast-paced environment.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Proficiency in other data visualisation tools such as Tableau or Power BI.
- Experience with data modelling and schema design as well as ETL tools and processes.
- Any other duties required by management
- This role will be required to be in the Hapana office 2-3 days a week.
-
Operations Data Analyst
6 days ago
Rosebery, Australia Finisar Australia Full time**Finisar Australia / Coherent is an innovative global company that designs and manufactures high-technology communication products for optical fibre telecommunication networks. We are the largest supplier of optical communication components and subsystems in the world.** Finisar Australia is seeking a talented Operations Data Analyst to join our team in...
-
Anz Head of Brand and Pr
6 days ago
Rosebery, Australia Ingram Micro Full time**About us**: **About role**: As the ANZ Head of Brand and PR, you will shape a company’s outward image, build our brand and raise brand awareness and effectively create the narrative of a brand. To do that, you’ll need to uncover industry & customer insights and deliver innovative marketing campaigns. Advise what can attract our customers and prospects...