Business Data Analyst

Belgrade

Other Area(s)

Short Description

On behalf of our client, Philip Morris International, Manpower Serbia is searching for for a motivated candidate to take the challenge and to successfully fulfill the position Business Data Analyst.

We are looking for a data-driven, technically strong Business Data Analyst (Entry-Level) to join our DataInsights & Analytics (DI&A) global function and act as a business partner for Commercial Operationsacross South East Europe (Albania, Bosnia and Herzegovina, Serbia, Montenegro, North Macedonia)
While this role is entry-level by title, it sits within a highly skilled, high-exposure analytics team. It is designedfor analysts who already have a solid hands-on skill base and want to accelerate their growth through realbusiness ownership, complex data challenges, and intense stakeholder engagement.
You will work closely with Senior Data Analysts, transforming data from SQL databases into Excel- andPython-driven insights and reports, supporting business performance management, forecasting, and forwardlooking planning across all key product categories: Conventional, IQOS, Veev (vape), and ZYN (nicotinepouches).

Description

Support Senior Data Analysts in data extraction, preparation, and analysis from SQL databases
Build, automate, and maintain Excel-based reports and analytical models used across 6 markets and multiple business functions
Use Python to: Automate manual and repetitive reporting processes, and/or Leverage existing data frameworks for insight generation
Actively contribute to business performance tracking, results analysis, and scenario planning
Support sales forecasting and production planning in collaboration with Business Planning, Finance, and Commercial Operations
Deliver regular and ad-hoc analyses to middle management and senior experts
Act as an analytics partner to Operations and Customer Teams, supporting decision-making
Work in structured delivery cycles using Jira and Atlassian tools for planning and prioritization
Ensure data accuracy, consistency, and transparency across markets and categories

Requirements

Preferred work experience in data analysis, reporting, or business analytics.
Excel – strong mid-level proficiency (mandatory); advanced/pro-level skills are a strong advantage
Python – basic but practical knowledge (mandatory), with ability to quickly: Automate Excel-based workflows, or Use and extend existing scripts and data frameworks
Working knowledge of SQL and relational databases
Strong analytical mindset, attention to detail, and structured thinking
Proven ability to engage with multiple stakeholders across markets and functions
Fluent English (mandatory) – all meetings, documentation, and reporting are conducted in English

Nice to Have / Strong Advantage:

Exposure to or strong interest in AI-driven analytics and predictive models
Experience with Power BI, Matillion, Snowflake, Data Ocean, or similar analytics platforms
Background in commercial operations, sales planning, or finance analytics
Experience working in regional or international business environments