Join to apply for the Data & Analytics Lead Analyst role at LAGOFIRE SRL
Description
We use innovation to shape data so it works for everyone. We're planning to re-platform and improve existing data assets (commercial, operational, and customer data), develop new ones, and transform how we work with the business to utilize data more effectively.
In this role, you will combine hands-on development in cloud-based technologies with direct management of a team of multi-skilled data analysts and data scientists delivering key data solutions. Your creative problem-solving approach using data and technology will delight your customers and foster curiosity and motivation for data-driven solutions.
We're looking for a data enthusiast capable of turning data into insights, ensuring they flow across MO, and shaping our thinking to promote a culture of customer-focused, evidence-based decision-making. You will support the adoption and use of Data and Analytics (D&A) services and products across MO, helping to raise data literacy and demonstrate the value of D&A.
A natural storyteller, you will work across MO, forging strong stakeholder connections, proactively raising awareness, and assisting them in using data and insights to improve their roles. You should have experience in a data-related role, with a proven foundation in programming (Python and SQL) and a passion for transforming data into actionable insights.
Qualifications
About you
This is a great opportunity for an experienced data leader to join a well-established and successful team, contributing to and enhancing internal data capabilities. You should have, or be able to:
* Hold a lead role delivering data-focused solutions using ETL and BI tools within an Agile environment.
* Experience in team management, mentoring, and developing team members through regular reviews, objectives, and career plans.
* Inspire and motivate teams through coaching and sharing technical knowledge.
* Excel in data visualization and communicating complex findings to technical and non-technical stakeholders.
* Experience turning analytical insights into actionable business recommendations.
* Work closely with data engineering teams and partners to provide insights and analyses.
* Design data transformation processes and data products.
* Support product owners and collaborate within a cross-functional data & analytics team.
* Organize data effectively and transform it into meaningful insights and recommendations.
Minimum Criteria
All of these are required:
* Proven experience in business intelligence, data analytics, data science, or related fields.
* Experience with Oracle, Snowflake, or similar platforms.
* Strong knowledge of data management, databases, and data warehousing.
* Proficiency in SQL.
* Experience with BI tools such as PowerBI or OAS.
* Understanding of machine learning or data science principles.
* Excellent communication and stakeholder collaboration skills.
* Innovative mindset with problem-solving skills focused on delivering actionable insights.
Plus points for experience across multiple data sources, creating data products in Agile teams, and understanding data science practices.
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