Business Analyst
1 week ago
- Collect, consolidate and analyse brand, category, sales, market and competitive data to monitor brand performance (volume, value, share, margin) and brand health (awareness, consideration, loyalty, perception).
- Develop and maintain dashboards, reports, and KPI tracking tools for brand performance and initiatives.
- Translate insights into actionable recommendations for brand strategy, portfolio optimisation (e.g., brand launches, brand rationalisation), pricing & promotion effectiveness, channel performance.
- Support the brand planning cycle: forecast modelling, budget planning, scenario analysis (what‑if), post‑launch reviews.
- Collaborate closely with cross‑functional teams (marketing, category management, sales, e‑commerce, finance, supply‑chain) to ensure alignment of brand initiatives and to measure execution/impact.
- Conduct market & competitor research, identify trends and consumer behaviour insights that inform brand strategy.
- Assist in new brand or brand extension launches: business case development, market sizing, profitability modelling, go‑to‑market analysis.
- Ensure data integrity and support continuous improvement of analytics processes, systems, automation of reporting.
- Prepare presentation decks, business cases and executive summaries for senior leadership on brand performance, initiatives, and investment decisions.
- Lead ad‑hoc analytical projects as required (SKU rationalisation, pricing elasticity, channel mix optimisation, promo ROI, brand equity tracking).
- Bachelor's degree in Business/Commerce, Marketing, Economics, Statistics/Mathematics, Data Analytics or related field.
- Ideally 2‑4 years (or more depending on level) of experience in brand analytics, marketing analytics, business intelligence, or consulting—preferably within retail, FMCG/health & beauty or brand‑driven business.
- Strong analytical skills with ability to interpret data, draw insights, identify trends/patterns and recommend action.
- Proficiency in Excel, PowerPoint; experience with data visualisation tools (e.g., Tableau, Power BI) and working with large data sets is an advantage.
- Commercial mindset: understands brand, category and consumer behaviour; able to connect analytics with business value.
- Good communications and presentation skills: able to explain complex data/insights in a simple, business‑relevant way.
- Stakeholder management: able to work with cross‑functional teams, influence without direct authority.
- Detail‑oriented, curious, proactive, problem‑solver.
- Ability to manage multiple tasks, tight deadlines and changing business conditions.
- (Desirable) Knowledge of O+O (offline + online) retail environment, brand portfolio management, pricing/promotion analytics, brand equity metrics.
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