Head of Data & Analytics

Direct message the job poster from Adanola

Adanola are hiring a Head of Data & Analytics

The Head of Data and Analytics will be responsible for leading the Data & Analytics team, driving the development and implementation of our data strategy, and ensuring that data is leveraged to inform business decisions across all departments. The team currently consists of two people, and a key aspect of this role will be developing and growing the team as we scale.

While we have already embarked on our data journey, we are looking for someone who can audit and optimise our existing setup and, if necessary, build our data and analytics infrastructure from the ground up. This role demands a leader with deep expertise in data science, business intelligence, and analytics, as well as a solid background in stakeholder and project management.

As we continue to scale, this is an exciting opportunity for someone to make a substantial impact on the company’s growth by creating a robust, scalable data infrastructure and leading a data-driven transformation across the business.

Key Responsibilities:

1. Lead Data & Analytics Strategy: Define and execute the company’s data strategy in alignment with business objectives. Ensure data architecture, governance, and analytics practices are robust and scalable to support the company’s growth.
2. Team Development: Oversee a Data & Analytics team of two people and ensure it has the capability to meet the company’s evolving data needs. Lead, mentor, and inspire the team, fostering a collaborative, feedback culture and a high-performing working environment.
3. Audit & Optimise Data Infrastructure: Evaluate the current data setup, identifying gaps and inefficiencies. Where necessary, rebuild or optimise the data and analytics infrastructure to meet the company’s growth trajectory and business requirements.
4. Data Insights & Reporting: Own the development of business-critical dashboards, KPIs, and reporting tools, ensuring data-driven decisions are made at all levels of the business.
5. Collaboration with Stakeholders: Work closely with senior leadership, product, marketing, customer support, wholesale, and finance teams to understand business needs and translate them into actionable data-driven insights.
6. Innovation & Best Practices: Stay up-to-date with the latest trends and technologies in data science and analytics. Introduce new tools, processes, and methodologies to continuously improve the data ecosystem.
7. Data Governance & Compliance: Ensure data security, privacy, and governance policies are followed, and maintain compliance with relevant regulations (GDPR, etc.).
8. Performance Tracking & Optimisation: Monitor key business metrics and identify opportunities for optimisation across all aspects of the business. Use data to drive improvements in customer acquisition, retention, and overall operational efficiency.
9. Project Management: Lead data-driven projects across the organisation, ensuring effective project management, timely delivery, and alignment with business goals. Stakeholder management will be critical in ensuring the success of these initiatives.
10. Reporting to Executives: Present findings, insights, and data-driven recommendations to the executive team, ensuring strategic decisions are informed by data.

Key Skills & Experience:

• Proven Leadership: 8+ years in data analytics, with at least 3-5 years managing teams in fast-growing companies.
• Technical Expertise: Strong knowledge of SQL, Python, DAX, Power BI, Azure, Shopify, and NetSuite.
• ERP & E-commerce: Experience with large-scale ERP systems (e.g., NetSuite) and e-commerce and marketing tools, including Google Analytics and Shopify.
• ETL & Data Warehousing: Solid understanding of ETL (Extract, Transform, Load) processes and data warehouse principles.
• Stakeholder & Project Management: Proven ability to manage projects and stakeholders effectively.
• Strategic Thinking: Ability to turn complex data into actionable insights that drive business growth.
• Leadership & Team Management: Experience building and managing high-performing teams. Ability to inspire, coach, and develop data professionals.
• Business Acumen: Ability to understand business goals and translate them into data-driven strategies. Experience in retail businesses is a plus.
• Adaptability: Comfortable working in a fast-paced, constantly changing environment. Ability to adapt and thrive under pressure while managing multiple projects and deadlines.

Why Adanola?

We\’re on a mission to becoming everybody\’s everyday uniform and we need great people with great attitudes to help work towards that. Adanola genuinely cares about the people we employ and as we grow will continue to always put People, Product and Profit, in that order. We\’re just getting started so you need to be ready to roll your sleeves up and get stuck in but in the most exciting and challenging way.

As well as that, we offer a list of benefits to our Ada employees:

• Bonus structure for all employees
• Day off on birthday
• Subsidised food at Everyday Café
• Flexible workplace (3 days a week in office)

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Retail Apparel and Fashion

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