* Python Anlaytics Specialist
* Competitve salary with good benefits
About Our Client
This is a Not For Profit organisation based in Sydney, known for its impactful contributions and commitment to community betterment. As a medium-sized organisation, they focus on utilising data analytics to enhance their operations and achieve their objectives.
Job Description
* Develop and implement analytics strategies to support organisational goals.
* Analyse complex datasets to provide actionable insights.
* Design and maintain dashboards and reporting tools for stakeholders.
* Collaborate with teams to identify data needs and opportunities.
* Ensure data accuracy and integrity in all analytics processes.
* Partner with stakeholders to understand challenges and deliver impactful analytics solutions.
* Visualise insights using tools such as Power BI, Excel, and PowerPoint for diverse audiences.
* Stay updated with industry trends and best practices in analytics uisng Python.
The Successful Applicant
A Successful Analytics Specialist Should Have
* A strong background in analytics, with proficiency in data analysis tools and techniques.
* 4+ years of solid python programming experince
* Experience working with large datasets and data visualisation platforms like powerbi or tableau
* Demonstrated experience in engaging stakeholders and clearly communicating actionable insights.
* Experience with data visualisation tools (e.g. Power BI, Tableau) and statistical packages.
* Understanding of cloud based advanced analytics and data science using Snowflake.
* Higher Education Domain Experince is preferred.
* Open only to Australian PR and Citizens.
What's On Offer
* Generous 17% superannuation contribution.
* Opportunity to work with a purpose-driven organisation in the Not For Profit industry.
* Permanent position based in Sydney, offering stability and career growth.
If you are ready to make a meaningful impact and further your career as an Analytics Specialist in Sydney, we encourage you to apply today
Contact: Hima Arafath
Quote job ref: JN