Lead Analyst - Trade Intelligence

Job Summary

The company is looking for a Lead Analyst to head its Business Analytics Unit – the engine behind the trade intelligence products our clients rely on to make sharper, faster decisions across both lines of business: retail execution and trade intelligence. This is a rare opportunity to own intelligence products from end to end: understanding what clients need, setting the statistical and measurement approach, running data collection and the data pipeline, and delivering the dashboards, reports, and insights that clients act on.

You will go beyond reporting the numbers to providing actionable insights, while leading and developing a small analytics team and helping our commercial team grow the business.

Key Responsibilities

Intelligence Product Development & Delivery Spearhead the development of new intelligence products for market, working alongside the management team, the commercial team, and the directors. Partner with the commercial team to understand each client's business problem, then conceptualize and design the ideal reporting environment to solve it.

Design intelligence programs end to end, defining the methodology and parameters: market sizing, sampling, data collection, measurement, and the reporting environment. Ensure every product is statistically sound and fully defensible. Own the entire reporting and analytics function, including the development of dashboards and intelligence products, providing actionable insights that drive strategy.

Adhere to industry best practices to ensure simplicity, visual appeal, and ease of navigation. Present new dashboards to internal stakeholders and clients, providing training, user support/helpdesk, and monitoring usage. Data Integrity & Pipeline Management Manage the resources needed to collect data on time from all sources, including field auditors in the trade, the Central Statistical Office, the Port Authority, and other public or paid sources.

Manage the flow of data from third parties and technology providers to feed and enrich the data pipeline. Manage the flow of data from collection through to the reporting layer, with quality control and validation built in at every stage, so that the data behind every report is reliable. Ensure data is stored securely and handled in line with privacy requirements, that access is controlled and appropriate to each role, and that protections are in place against breaches and malicious attacks.

Model best practice for the team. Analytics & Insights Interpret complex data and draw out the actionable insights within each report, explaining not just what the numbers show but why they matter. Turn insights into clear, practical recommendations that help clients act with confidence and achieve their goals. Technology & Resource Coordination Manage relationships with technology providers to ensure the unit's tools remain fit for purpose and keep pace with evolving business needs.

Secure and coordinate the other resources the unit needs to run smoothly, and manage the licensing and costs of data platforms (including user access, data storage, and retention) to get the best return on investment. Commercial Support Support sales meetings, build demo dashboards, and provide technical input to proposals, helping the commercial team win and grow client business.

Leadership & People Management Lead, supervise, and motivate the Junior Analyst and the Data Analysis Trainee, managing their performance and supporting their professional development. Train internal personnel in analytical skills to strengthen the overall capability of the Business Analytics Unit and wider organization.

Requirements

Qualifications A combination of relevant academic qualifications and work experience, including ownership of an end-to-end reporting and analytics function. Technical Skills & Languages Statistical design (sampling, stratification, weighting, margins of error, and significance testing) Power BI, including data preparation in Power Query, data modelling (star schema), and DAX Python SQL MS Office Comfortable owning a data pipeline from collection through to reporting, with quality control Domain Knowledge Familiarity with retail/FMCG metrics such as share, availability, pricing, perfect-store compliance, etc.

FMCG/Retail/Distribution experience is strongly preferred. Research & Data Management Strong research skills, with a rigorous approach to data management, quality control, and data integrity. Insight & Communication The ability to turn complex data into clear stories and practical recommendations for clients and senior stakeholders.

Leadership Experience supervising, coaching, or mentoring junior team members is a strong advantage.