Analytics Engineer
4 weeks ago
The Analytics Engineer spearheads the development and delivery of innovative analytical solutions in collaboration with business stakeholders and technical teams across the organization.
The Analytics Engineer reports to the Director, Data Leadership as a key member of a high-performing Data and Analytics team focused on delivering impactful insights and ground-breaking solutions for digital transformation in Personal Insurance at Definity.
The Analytics Engineer is a highly technical yet well-rounded analytics professional with hands-on expertise in all facets of analytics engineering and a passion for turning innovative data science ideas into game-changing business applications. To thrive in this role, the Analytics Engineer will need to have expert-level skills in data wrangling using both SQL and Python, extensive experience with prototyping and optimizing scalable data science and ML/AI solutions on cloud platforms. In addition, a strong understanding of statistics and exploratory data analysis are essential. Experience with modern insurance processes, data visualization best practices, and geospatial analytics are also strong assets in this role.
The Analytics Engineer leverages strong agile project management skills to drive results and lead analytics projects, guides and coaches team members, and demonstrates effective communication skills to influence strategic decisions.
What you'll do:
- Spearhead the design and rapid prototyping of analytical solutions in close collaboration with business stakeholders and analytics leadership.
- Lead the development of analytical solutions, providing direction, coaching, and review support to more junior team members.
- Perform exploratory analysis and evaluation of new data sources to support planning and data strategy.
- Independently prepare and present proposals and updates to senior level audiences
- Propose new and improve existing approaches to perform analytics, and support leadership in promoting their uptake.
- Research cutting-edge analytical techniques and tools, and share insights with team members.
What do you bring to the role?
- A university degree in data science, statistics, computer science, operations research, or a related discipline. Preference to individuals with a Master's/Doctoral degree and/or significant technical expertise gained through analytics self-study.
- Expertise in most major areas of data science/analytics. These areas include data wrangling, data visualization, predictive modelling, statistics, machine learning, big data analytics, geospatial analytics, and optimization.
- A proven track record of developing integrated, creative analytical solutions in a business context.
- Extensive experience with at least one modern analytical programming language - such as R, Python, or Scala - with preference to candidates with expertise in multiple analytical languages.
- Experience with Google Cloud Platform
- Experience in Data engineering experience (SQL), ETL pipeline development and maintenance, Data analysis and visualization skills
- Excellent project management, communication, and problem-solving skills.
- Experience guiding and coaching more junior staff members.
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