Manager Analytics

2 weeks ago


Melbourne, Australia Environment Protection Authority Full time

Location: Melbourne | CBD

Job type: Ongoing - Full Time

Organisation: Environment Protection Authority

**Salary**: $130,673 - $152,772

Occupation: Information Management

Reference: 798

**About the Organisation**

EPA works to prevent and reduce the harmful effect of pollution and waste on Victoria’s environment and people. We work with community, industry and businesses. As the needs of Victorians change, we must be equipped to adapt and respond to a range of factors.

We are a workplace committed to new ways of working, EPA celebrates diversity of people and lifestyles. We offer a wide range of practical options to support both your work and personal life.

**The EPA Experience**
- See the impact in the communities we live in: at EPA you see your work first-hand
- Range of internal working groups, networks and volunteering opportunities
- On-the-job training for a wide range of environmental roles
- Flexible start and finish times, as well as compressed work week options

**About the role**:
You will lead and manage a team responsible for providing data analytics capability to support regulatory operations and decision making. You will oversee the delivery of data analytics services, support and the governance of data models aligned to EPA’s strategic priorities to prevent harm to Victorian communities and the environment from pollution and waste. This is a senior management role for an experienced manager that has hands on experience in data modelling and has effectively implemented data analytics strategy in a cloud environment using Azure/Databricks.

**In this role you will**:

- Build, lead, and manage a high-performing analytics team, including data analysts in building, maintaining, and leveraging strategic relationships and partnerships.
- Manage and collaborate with senior business stakeholders to secure strong engagement and ensure data quality and integrity, compliance with data governance policies, implement data quality processes and check as needed and contribute to the success the data roadmap.
- Ensure a robust, transparent, risk and evidence-based approach with data analytics projects and initiatives.
- Provide strategic data analysis (modelling, trend forecasting) to support the setting and delivery of EPA’s strategic priorities.
- Oversee the collection, processing, analysis and governance of data to extract valuable insights and trends and translate data into actionable recommendations and strategic insights for decision-makers.

**Skills and experience**:

- Deep understanding of predictive analytics and regression modelling and good grasp of cloud technologies including Azure/Databricks.
- Deep understanding of data products and data mesh concepts is essential and previous modelling experience in R and Python would be desirable.
- Leadership experience and a record of achievement in leading a data analytics function. Previous experience building comprehensive data analytics platform will be advantageous.
- Ability to manage data risk arising from analytic products and ownership of the risk items is critical.
- A relevant tertiary degree and/or post graduate qualifications is desirable.

**To see the full position description**:Click Here**

**How to apply**

Applicants Should Submit:

- Cover letter; addressing your experience, the key selection criteria, motivations, and suitability to the role.
- Resume; including contact details of two referees.

**Need to know more?**

EPA Victoria recognises the value of the diversity, strength, and knowledge of Aboriginal and Torres Strait Islander people as we work with Traditional Owners to care for our environment. We provide a culturally safe and embracing work environment.

We are an equal opportunity employer with a commitment to merit, equity, diversity, and inclusion in the workplace. We believe our workforce should represent the diversity of the lands upon which we reside; and we actively embrace staff of different abilities, orientations, backgrounds, faiths, and genders.


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