Data & Analytics Consultant / Analyst for the Resources Industry

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MidZdalnie·WarszawaFull-time

#472137·Dodano 4 dni temu·4

Źródło: www.pracuj.pl

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Tech Stack / Keywords

Azure AWS SQL Spark Python RPower BITableauSAP Analytics Cloud SAP BW

Podsumowanie oferty

Engage clients in the Resources industry and deliver industry-specific advisory, from gathering requirements and building solutions to demos, training, and adoption. Depending on your expertise, work may span data engineering and architecture, data analysis and transformation, and business intelligence and visualization, using Azure, AWS, SQL, Spark, Python, R, Power BI, Tableau, and SAP Analytics Cloud.

Wymagania

Experience in the Resources industry, such as Oil & Gas, Power Generation, Utilities, Chemicals, Natural Resources, or Mining.
Understanding of the IT landscape in your area of business expertise.
A few years of experience in Data Analytics, Data Visualization, or Data Migration of industry-specific data.
Understanding of solution design, testing, project management, and data management concepts.
Skills in at least one of these areas: Big Data, BI, Data Warehousing, Data Science, Data Management, Data Storage, Data Visualization, Data Migration, Data Modelling, or Data Governance.
Understanding of AI and willingness to expand your expertise and apply it in an industry context.
Excellent written and verbal English skills (minimum C1).

Nice to have:

Knowledge of a major cloud technology: AWS, Azure, or GCP.
Proficiency at C1 level in an additional language, especially German or French.
Some programming knowledge, for example SQL, Python, or R.
Previous experience with agile project management and related tools such as Jira, Confluence, or Azure DevOps, and project management certification such as Price, PMP, PSM, or CSM.
Experience working with SAP data, including SAP Business Warehouse, SAP Analytics Cloud, or SAP Datasphere.

Obowiązki

Engage clients and combine industry and digital experience to deliver end-to-end, industry-specific advisory, from gathering requirements through building solutions, running demos and trainings, and ensuring smooth adoption.
Handle structured and unstructured data from enterprise systems, domain-specific systems, external datasets, and other sources to identify business value creation opportunities.
Build scalable solutions through data engineering and architecture using Azure, AWS, and SAP BW, for example.
Create optimized data models through data analysis and transformation using SQL, Spark, pandas, Python, R, and other tools.
Translate data into clear business insights through business intelligence and visualization using Power BI, Tableau, and SAP Analytics Cloud, across the Resources industry value chain.
Contribute to other Accenture and client initiatives outside Data & Analytics.

Benefity

Individual support from a People Lead, a professional development path, and the possibility of a session with a Coach.
Training package covering soft skills, technical and language training, e-learning platforms, GenAI training, co-financing for courses, and certification.
Employee Assistance Program providing legal, financial, and psychological consultations.
Eligible employees who own company shares through the Employee Share Purchase Plan are eligible for quarterly dividends.
Paid employee referral program.
Private medical care and life insurance.
Access to the Worksmile platform, including products and services such as the Multisport card.

Dofinansowanie szkoleń

Kursy językowe

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Udziały pracownicze

Accenture Strategy & Consulting

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