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Data Insights and AI Analyst

Data Insights and AI Analyst

Coca-Cola Hellenic Bottling CompanyBucharest, Romania
În urmă cu 18 zile
Descrierea postului

Romania (Bucharest) Romania (Bucharest) Sales Hybrid Experienced Professionals

A results-driven Data Insights and AI Analyst (DIAI Analyst) with 2–5 years of experience in data analytics and business intelligence, skilled in analyzing complex datasets to uncover trends and drive strategic decisions. Familiar with Python, SQL, Power BI, and SAP systems, with knowledge about workflows using Databricks and Microsoft Fabric. Adept at designing impactful dashboards, translating business needs into data-driven insights, and presenting findings to both technical and non-technical audiences. Strong collaborator with cross-functional teams and a solid foundation in data governance, reporting automation, and master data synchronization.

Responsabilties

  • Analyze large and complex datasets to identify trends, patterns, and opportunities for business growth
  • Design and implement dashboards, reports, and visualizations to communicate insights effectively
  • Collaborate with stakeholders to understand business needs and translate them into data-driven insights
  • Monitor and evaluate the performance of DIAI tools, ensuring accuracy and relevance
  • Present findings in a compelling narrative format tailored to both technical and non-technical audiences
  • Evaluate new tools, frameworks, and methodologies for potential adoption
  • Document analysis processes and keep track of progress in terms of trends and patterns
  • Automate data workflows and reporting processes using notebooks, pipelines, and low-code tools within Databricks and Microsoft Fabric
  • Extract and analyze data from SAP systems to support operational and strategic reporting needs
  • Support synchronization with master data processes and map it with DIAI tools outputs
  • Partner with data engineers, product managers, domain experts, and IT teams
  • Support DIAI team to adopt bespoke solutions and GenAI capabilities

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics or a related field.
  • 2–5 years of experience in data analytics and business intelligence - data visualization tools (e.g., Power BI)
  • Strong Microsoft Suite (Excel especially – VLOOKUP, Pivot, SUMIF etc)
  • Basic experience in Python / SQL and SAP systems. Automation experience preffered.
  • Strong problem-solving skills and the ability to communicate complex findings clearly
  • Preffered experience in FMCG Industry
  • English – advanced
  • Diversity, Equity & Inclusion :

    At Coca-Cola HBC, we benefit greatly from the skills, experience and dedication of the diverse people who work with us. We expressly welcome applications from people with disabilities, different genders, ages, different sexual identities and with different ethnic backgrounds. We take a leading role in the area of corporate social responsibility and, with our corporate culture and our diversity & inclusion network, create "come as you are", a working environment that offers the space for diversity and equal opportunities – in the application process and throughout the entire employment relationship.

    Sustainability :

    Responsible action within the local environment and the sustainable use of resources are firmly anchored in the corporate strategy. In addition to the areas of water, energy and employees, the ambitious sustainability goals focus on the global vision of "World Without Waste". As part of this strategy, Coca-Cola HBC promotes innovative packaging solutions such as increasing the proportion of rPET across the entire portfolio, as well as strong partnerships to increase collection rates.

    Only eligible candidates will be contacted, in a maximum of 3 weeks. All information will be treated as strictly confidential.

    Benefits

    Bonus incentives Company shares Development opportunities Equal opportunity employer Flexible Time Medical Insurance Free product quota Work with iconic brands

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