BI Solutions Lead

Do you thrive in a fast-paced, data-driven environment? Are you passionate about leading a team to deliver actionable data solutions that drive business success? If so, we want to hear from you! Hunkemöller, a leading international lingerie retailer, is seeking a talented and motivated BI Solutions Lead to champion our data-driven culture. In this role, you'll be the driving force behind our BI team, ensuring the delivery of impactful data solutions that align with business needs and support our continued growth. As BI Solutions Lead, you will be responsible for leading and developing a team of BI developers, fostering a collaborative and high-performing environment.

YOUR TASKS

What you'll do:

• Lead and Develop a High-Performing BI Team: Provide guidance, coaching, and support to BI developers, fostering their professional development and ensuring they have the resources to excel. This includes managing workloads, conducting performance reviews, and promoting a positive and collaborative team environment.
• Orchestrate BI Solution Delivery: Oversee the design, development, and maintenance of complex BI solutions, including data models, reports, dashboards, and visualizations. Ensure solutions are aligned with business needs, data governance standards, and our overall data architecture.
• Stakeholder Engagement and Prioritization: Collaborate closely with business stakeholders across various departments (Marketing, E-commerce, Retail Operations, etc.) to understand their data needs, translate them into clear requirements, and manage expectations effectively. Facilitate prioritization discussions to ensure the team is focused on the most impactful projects.
• Project Management and Agile Execution: Manage project scope, timelines, and resources using agile methodologies (e.g., Scrum, Kanban). Track progress, identify and mitigate risks, and ensure timely delivery of high-quality BI solutions. Champion the use of Jira for efficient ticket management and sprint planning.
• Investigate and Resolve Data Issues: Possess the technical acumen to investigate data discrepancies, troubleshoot issues, and identify root causes. Collaborate with data engineers and other technical teams to implement effective solutions.
• Contribute to Data Governance and Self-Service Enablement: Support the implementation of data governance policies and procedures. Help to create a self-service BI environment by developing clear documentation, providing training, and empowering business users to access and analyze data independently.
• Stay Abreast of Industry Trends and Emerging Technologies: Proactively research and evaluate new BI tools, technologies, and methodologies, including Generative AI, to identify opportunities for innovation and improvement.

Who you are:

• Proven Leadership Experience: Demonstrated experience leading and managing a team of BI developers, with a focus on coaching, mentoring, and performance management.
• Strong BI Technical Skills: Solid understanding of data warehousing concepts, data modeling techniques, and BI tools (e.g., Looker, Tableau, SAC). Experience with BigQuery is a significant plus.
• Excellent Communication and Interpersonal Skills: Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Proven ability to build strong relationships with stakeholders at all levels of the organization.
• Exceptional Organizational and Project Management Skills: Proven ability to manage multiple projects simultaneously, prioritize tasks effectively, and meet deadlines consistently.
• Analytical and Problem-Solving Skills: Strong analytical skills and the ability to identify, investigate, and resolve data-related issues.
• Data Governance Awareness: Understanding of data governance principles and best practices.
• Strategic Alignment: Eager to contribute to the overall data strategy of the organization and align BI initiatives with business goals.
• Positive and Collaborative Attitude: A team player with a positive attitude and a willingness to collaborate with others to achieve common goals.

Bonus Points:

• Experience with LookerML
• Familiarity with Generative AI and its potential applications in BI and analytics.

Benefits:

• 25 Days of Annual Leave: As a full-time employee, you will receive 25 days of paid holiday each year, with the flexibility to buy or sell up to 4 additional days to meet personal needs.
• Hybrid Work Model: We offer a flexible hybrid work environment, enabling you to seamlessly balance office and remote work to enhance productivity and work-life balance.
• Work From Abroad: Take advantage of the opportunity to work remotely from abroad for up to 2 weeks annually.
• International Work Environment: Join a dynamic, global team that fosters collaboration and cultural diversity, providing you with a rich and inclusive professional experience.
• Partial Travel Allowance: Benefit from a partial travel allowance to support your commuting costs, ensuring your journey to and from work is more affordable.
• Hunkemöller Academy: Gain access to our Hunkemöller Academy, offering a wide range of professional development programs to support your career growth and skill enhancement.
• Employee Discounts: Enjoy a 25% discount on all company products, allowing you to access our offerings at a reduced price.

This is a fantastic opportunity for a talented BI professional to take on a leadership role and make a significant impact at a global brand. We offer a competitive salary and benefits package, as well as the chance to work with a diverse and passionate team committed to transforming Hunkemöller into a data-driven powerhouse.

We are not looking to work with recruitment agencies for this role. Any unsolicited sharing of CV's will be considered a NO FEE applicant.

We want to enable seamless, innovative, and secure technology solutions that support the business in sustainable growth, empower employees, and enhance the customer experience. Our mission is to align IT capabilities with business objectives, in an ever-evolving retail landscape to come to data driven decisions.