- Company Name
- Philip Morris International
- Job Title
- Business & Data Analyst
- Job Description
-
**Job title**: Business & Data Analyst
**Role Summary**:
Act as the liaison between business stakeholders and DI&A delivery teams to capture, structure, and translate business needs into analytical requirements. Source, transform, and analyze data from internal and external systems to produce high‑quality insights. Deliver insights through dashboards, visualizations, and storytelling that drive actionable business decisions and measurable outcomes.
**Experiences Expected**:
- Minimum 2 years of experience in analytics, business analysis, BI, or strategy, preferably in FMCG or consulting.
- Proven track record of translating complex business questions into data‑driven solutions.
- Experience working within multinational, cross‑functional environments.
**Key Responsibilities**:
1. **Business to Data** – Capture objectives, KPIs, and decision needs; document clear analytical requirements; assess scope, feasibility, and data availability; validate outputs with stakeholders.
2. **Data to Insight** – Source, cleanse, and model data from internal and external platforms (commercial, consumer, Cirana/GfK/Nielsen); build dashboards and reports in Power BI and SQL; perform root‑cause analysis; ensure data quality, consistency, and traceability.
3. **Insight to Action** – Present findings in business language; highlight implications, risks, drivers, and recommendations; align storylines with commercial, brand, or consumer priorities; validate impact and refine logic/KPIs.
4. **Bridge to DI&A** – Collaborate with BI, Data Engineering, Research, and Data Governance teams; ensure business requirements are reflected in models, KPIs, and logic; support governance processes (data quality checks, ownership, privacy).
5. **Demand & Delivery Alignment** – Participate in DI&A Hub & Spoke intake, prioritization, and value tracking; manage stakeholder expectations, escalations, and progress communication; maintain documentation consistency (logic definitions, KPIs, data sources).
**Required Skills**:
- Technical: Snowflake, SQL, data modeling, Power BI, Microsoft Excel, PowerPoint.
- Analytical: Diagnostic and root‑cause analysis; pattern recognition; ability to translate data into actionable insights.
- Governance: Knowledge of data governance, metadata, traceability, and quality frameworks.
- Business Acumen: Understanding of FMCG drivers, performance metrics, portfolio levers, and activation strategies.
- Collaboration: Strong communication, stakeholder management, and cross‑functional teamwork.
**Required Education & Certifications**:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration, or related field.
- 2 + years of relevant analytics/business analysis experience.
- Certifications in data analytics, BI, or related areas are a plus but not mandatory.