Analytics Manager

2 days ago

Sydney, Australia Bluefin Resources Full time

**What's In It For You?**
- WFH Flexibility (up to 2 days a week WFH; 3 days on-site).
- Strategic location - Very close to the train station.
- The opportunity to build AI/ML capability within a renowned organisation.

We are looking for an innovative Analytics Manager who will enhance our client's commercial revenue streams through advanced analytics and customer-centric strategies. This role is pivotal in identifying opportunities to improve customer experiences, drive commercial revenue growth, and explore emerging digital revenue channels.

**Responsibilities**:

- Provide timely and valuable analytical insights to stimulate revenue growth, optimize asset utilization, and guide strategic decisions.
- Champion business cases that adopt new technologies, data analytics, and processes to enrich customer experiences, operational efficiency, capacity, and overall business value.
- Segment and assess our expanding digital customer base, harnessing the full potential of Salesforce for optimal performance.
- Implement inventive data collection strategies to enhance customer personas and their value.
- Collaborate with marketing teams to steer customer acquisition and sales funnel initiatives.
- Harness machine learning (ML) and artificial intelligence (AI) to uncover growth opportunities within customer cohorts and their value.

**Requirements**:

- A demonstrated ability to translate strategic concepts into successful business outcomes.
- Strong communication and influencing skills to drive results and engage key decision-makers.
- A solid understanding of retail, e-commerce, and digital analytics.
- Experience in delivering digital revenue strategies and product delivery.
- Proficiency in digital marketing and customer survey methodologies and techniques.
- Advanced hands-on experience with Microsoft Azure, Power BI, Salesforce, Snowflake, SQL, R/Python.
- Proficiency in implementing data science models, such as propensity, clustering, and segmentation.
- Advanced skills in customer segmentation, customer lifecycle analysis, and assessing customer value.
- Minimum of 5 years of experience in a data analytics-related role.

BBBH55172_169899259076494

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