Join to apply for the Data Analytics Engineer role at Mediolanum International - Ireland
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We have an excellent opportunity at Mediolanum to join our Analytics and AI team as a Data Analytics Engineer. The Analytics and AI team works under the Chief Data Office, which is responsible for driving the data strategy in the business, enabling our stakeholders to provide world class client performance in asset management.
As a Data Analytics Engineer in the team, you will be responsible for designing and implementing data-driven solutions using a variety of technologies, with a strong focus on Power BI. This role requires deep expertise in data analytics, data warehousing, and business intelligence.
The successful candidate will enable the growth of our user base of BI tool users and consumers via our community of practice. You will transform complex data sets into compelling narratives and actionable insights, leveraging tools such as Power BI, Snowflake, Azure, and the Power Platform to support strategic decision-making and AI-driven innovation. A strong culture of execution and delivery is essential to succeed in this role championing our strategy of a data enabled organization in all aspects of our technologies and business processes.
You will be joining at an exciting time when we are enacting our AI strategy which includes AI, ML and BI as critical deliverables.
Principal Duties of the position, including but not limited to:
* Design, develop, and maintain scalable data models and pipelines for analysis, reporting, and data visualization in Microsoft Power BI.
* Administer and manage the Power BI Service, including workspace configuration, access control, and deployment pipelines.
* Create advanced, interactive dashboards that are user-friendly and deliver actionable insights.
* Support the development of AI-powered applications using the Power Platform and Azure AI services.
* Integrate data from Snowflake, Azure Data Services, and other sources to support comprehensive reporting.
* Train and support staff in using modelled data and developing self-service dashboards and promote data literacy and empower teams to make data-driven decisions.
* Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
* Implement best practices for data storytelling and visualization, staying current with emerging trends and technologies.
* Ensure compliance with data governance policies and standards.
Skills and Competencies:
* Strong analytical and problem-solving skills with the ability to communicate complex technical concepts clearly.
* Proven ability to work independently and collaboratively in a fast-paced environment.
* Excellent written and verbal communication skills.
Qualifications and Experience:
* Bachelor’s Degree in Computer Science, Statistics, Engineering, Mathematics, or a related field.
* 5+ years of professional experience in data analytics.
* Extensive experience with Power BI, including knowledge of DAX, M (Power Query), and Power BI Service.
* Experience managing Power BI workspaces and deployment pipelines.
* Proficiency in SQL and familiarity with Python for data analysis and automation.
* Experience with Snowflake for data warehousing and Azure for cloud-based data solutions.
* Familiarity with the Power Platform (Power Apps, Power Automate, Power Virtual Agents or Copilot Agents) and its integration with Azure AI tools.
* Demonstrated experience delivering analytics solutions across business domains such as finance, marketing, sales, product, or customer success.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology and Engineering
* Industries
Financial Services, Insurance, and Funds and Trusts
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