Data Analyst in Technology Team
Warszawa - Polna 11, Poland
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Job Description & Summary
The FCU Technology team at PwC Polska includes over 100 IT specialists. The financial services industry operates in a challenging environment due to global economic pressures, increasing regulatory and capital requirements, and significant operational and technological changes. As FCU Technology, we provide innovative technological solutions, data analytics and consulting services for global PwC clients, responding to key challenges in the area of Anti Financial Crime (Anti Money Laundering, Combating Terrorism Financing, Fraud Risk Management, FATCA and implementation of financial sanctions, etc.).
Your future role:
Gather, analyse and transform large datasets,
Build reports and dashboards using various technologies (e.g., Tableau / Power BI),
Model data structures, relationships and queries,
Design, manage and run day to day project reports,
Work on Client projects together with other team members to develop solutions for process improvements,
Keep up with latest Technology and Anti Financial Crime trends,
Connect with the PwC network and share knowledge.
Apply if you have:
Master’s degree (preferred in Statistics, Econometrics, Mathematics, Computer Science),
Analytical skills with ability to collect, analyse and visualise large data sets with attention to detail and accuracy,
Very good knowledge of MS Office, in particular Excel and Access,
Strong interpersonal skills, ability to build and maintain relationship,
Ability to work well under pressure with high degree of accuracy,
Excellent written and spoken English,
Willingness to travel and be involved in international projects.
Nice to have:
Previous experience in data analytics roles,
Experience in data querying technologies (e.g., SQL),
Experience with programming languages for process automations (e.g. Python),
Knowledge of data visualisation / dashboarding technologies (e.g., Tableau, Power BI).
By joining us you gain:
Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave,
Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC and conversations with native speaker,
Wide medical and wellbeing program - a medical care package (incl. physiotherapy, discounts on dental care), coaching, mindfulness sessions, psychological support, education through dedicated webinars and workshops, financial and legal advice,
Possibility to create your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase,
3 paid hours for volunteering per month,
Additional paid Birthday Day off,
And when you start enjoying PwC as much as we do, you may recommend your friend to work with us.
Recruitment process:
Submit your resume,
Have a short phone conversation with our Recruiter,
Let's get to know each other better in the interview!
Send your application today! In case you have any additional questions, contact us: pl_ITrecruitment@pwc.com.
Your personal data will be processed for recruitment purposes by PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Consulting Data Analytics Econometrics Excel Fraud risk Mathematics Power BI Privacy Python SQL Statistics Tableau
Perks/benefits: Career development Flex hours Lunch / meals Medical leave Paid sabbatical Startup environment
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