Data & Analytics Consultant / Analyst for the Resources Industry - ICH Europe

Our Consultants have excellent communication skills with the ability to explain complex things simply. They are experts in Data & Analytics projects, spanning likes of Data Strategy, Governance, Migration, Integration and Consolidation, Data Warehousing and Data Lake Implementation, Business Intelligence (BI) and Reporting. The most experienced talents lead and manage these projects, financials, and build relationships with Clients and cooperate with our delivery centers across the globe. At ICH Energy Team, we measure our success by building trusted relationships with Global Accenture Teams and Client stakeholders across business and IT. To learn more about Strategy & Consulting please visit our website. 

THE WORK:  

• You will engage Clients and combine your industry and digital experience to deliver industry-specific advisory end to end, from gathering requirements through building solutions, to running demos, trainings, and ensuring smooth adoption.
• You will leverage your industry experience to handle structured and unstructured data from diverse sources (enterprise systems, domain-specific systems, external datasets, etc.) to identify business value creation opportunities.
• Depending on your technical expertise, your work may include:
• Data Engineering & Architecture (e.g. Azure, AWS, SAP BW) to build scalable solutions,
• Data Analysis & Transformation using SQL, Spark, pandas, Python, R, and other tools to create optimized data models,
• Business Intelligence & Visualization to translate data into clear business insights (PowerBI, Tableau, SAP Analytics Cloud), applied across Resources industry value chain.
• You will also have opportunities to step outside Data & Analytics and contribute to a wide range of Accenture and Client initiatives.

• Employment contract (Umowa o pracę) 
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.  
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).  
• Employee Assistance Program - legal, financial, and psychological consultations.  
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.  
• Paid employee referral program.  
• Private medical care, life insurance.  
• Access to the Worksmile platform (possibility of using a wide range of products and services, including the Multisport card). 

• Experience in the Resources industry (e.g., Oil & Gas, Power Generation, Utilities, Chemicals, Natural Resources, Mining). 
• Understanding of the IT landscape in your area of business expertise.
• Few years of working experience in Data Analytics, Data Visualization, or Data Migration of industry-specific data.
• Understanding of the concepts of solution design, testing, project management, and data management.
• Skills in one of the following areas: Big Data, BI, Data Warehousing, Data Science, Data Management, Data Storage, Data Visualization, Data Migration, Data Modelling, or Data Governance.
• Knowledge of a major Cloud technology (AWS, Azure, or GCP) as a strong asset.
• Understanding of AI and willingness to expand your expertise and apply it in industry context.
• Excellent written and verbal English skills (min. C1). Proficiency (C1) in an additional language — especially German or French — is a very strong asset.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application. 

BONUS IF YOU HAVE:  

• Some knowledge of programming (e.g. SQL, Python, R). 
• Previous experience with agile project management and related tools (Jira, Confluence, Azure DevOps etc.) and project management certification (Price, PMP, PSM, CSM).  
• Experience working with SAP data (SAP Business Warehouse, SAP Analytics Cloud, SAP Datasphere).