Senior Business Insights Professional

5 days ago

Sydney, New South Wales, Australia Bebeedata Full time

About the Role
We are seeking a Senior Data Analyst to join our team. The successful candidate will be responsible for embedding within product domains and partnering with Product Managers to drive growth and optimize the end-to-end customer experience.
Key Responsibilities:
Provide cross-product insights, design and own dashboards and reports that reveal key product metrics, user engagement, and feature performance.
Support data-driven decision making by translating business questions into data problems and delivering actionable recommendations with compelling data narratives.
Drive product growth with actionable insights by performing deep-dive analyses to explain why outcomes occurred and inform product strategy and feature prioritization.
Champion continuous improvement and automation by contributing to a culture of learning, driving automation and scalable analytical solutions, and identifying data quality improvements.
Collaborate cross-functionally by working with product, marketing, data engineering, and other teams to align growth initiatives.
Present findings to varied audiences, translating analyses into clear, actionable takeaways.
Evaluate analytics quality and support planning with data inputs, forecasts, and key performance analytics.
Requirements:
A minimum of 4 years of experience as a Data Analyst, preferably within a product-led organization or supporting product teams.
Strong SQL proficiency for data extraction, manipulation, and analysis.
Experience with data modeling and transformation tools like dbt.
Familiarity with workflow orchestration tools such as Airflow.
Proficiency in building dashboards and reports using BI tools (e.g., Superset) to visualize data and communicate insights.
The ability to translate complex data into clear, actionable insights for non-technical stakeholders.
A strong understanding of product metrics, user behavior, and sales funnels.
A proactive, curious mindset with a focus on measurable outcomes.
Excellent communication and collaboration skills; able to influence decisions through data.
An adaptable nature with a willingness to tackle challenges across product areas.
A basic understanding of Python for data analysis is a plus.

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