SENIOR DATA ANALYST ROLE - Hybrid (3 days a week in the office)

As a Senior Data Analyst, you'll play a critical role in shaping innovative, data-driven solutions that tackle real-world challenges. Your expertise will help clients navigate complex datasets, optimize business processes, and enhance engineering outcomes across multiple disciplines. A typical day in this role may include:

• Collaborating closely with clients to understand their needs and develop tailored, forward-thinking solutions.
• Partnering with engineering and digital teams, including Digital Engineering and Location Intelligence, to execute multi-disciplinary projects.
• Identifying and addressing limitations within complex data ecosystems, developing effective alternatives to drive successful outcomes.
• Making strategic decisions and taking corrective actions to ensure project success.
• Managing, analyzing, and deriving insights from vast and intricate datasets using advanced big data tools and methodologies.
• Translating data findings into clear, actionable recommendations that enhance business operations, processes, and products.
• Proposing improvements for data collection, storage, and refinement.
• Working alongside subject matter experts to address engineering challenges with data-driven approaches.
• Driving business-wide collaboration to influence change and bring fresh ideas to life.
• Developing solutions that deliver tangible benefits to the wider community.
• Contributing to initiatives that support sustainability and positive societal impact.

What We Value in You

To thrive in this role, you'll bring extensive experience as a Senior Data Analyst-whether in corporate or government settings. Expertise in Asset Management and/or the Water industry will be particularly valuable.

Beyond technical prowess, we value individuals who excel in consulting, enjoy building strong client relationships, and have the vision to spearhead data-driven projects.

Key Expertise Required

• Advanced skills in data transformation and interpreting new datasets.
• Strong proficiency in BI platforms (e.g., Power BI).
• Familiarity with FME, GIS, and Ellipse data (preferred but not mandatory).

Preferred Skills & Experience

Having any of the following will be an advantage:

• A strong grasp of core data analytics, statistical methodologies, and asset-related data schemas.
• Knowledge of AWS and/or Azure cloud environments.
• Experience with Data Warehousing and complex data manipulation.
• Passion for empirical research and solving tough challenges using data.
• Proven ability to drive successful adoption and operationalization of analytical insights.
• Expertise in analytical tools and cloud-based data services.
• Understanding of structured and relational data manipulation.
• Ability to communicate complex analysis clearly and effectively.
• A strategic and adaptable approach to precision-driven problem-solving.
• Strong mentoring skills to support and guide junior team members.
• Solid understanding of software engineering principles, with a preference for Python-based development.

Your Attributes

We're looking for someone who embodies:

• Curiosity and a passion for discovering insights.
• Creativity in problem-solving.
• Collaboration and a team-first mentality.
• Adaptability in navigating evolving challenges.
• Drive to make a meaningful impact through data.
• An open mindset, ready to do work that matters.

If you are interested in this position, please apply with your resume or email me directly at