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  • Senior Data Analyst in Technology Team
    Data

    Senior Data Analyst in Technology Team

    Gdańsk
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B, Permanent
    Operating mode
    Hybrid
    PwC Polska

    PwC Polska

    W PwC projekty innowacyjne i technologiczne to nasza codzienność. Jako firma konsultingowa mamy tę przewagę, że możemy współpracować z klientami z różnych branż na całym świecie. W Polsce zatrudniamy ponad 7000 osób, w tym 2000 w zespołach #Tech.

    Company profile

    Tech stack

      Power BI

      advanced

      SQL

      advanced

      Excel

      advanced

    Job description

    Online interview

    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.).We are looking for:


    Senior Data Analyst in Technology Team, Financial Crime Unit


    Your future role:

    • develop reports and dashboards using various technologies (e.g. Tableau/Power BI),
    • utilize data to create information management products and ad hoc analysis,
    • build data structures by gathering, identifying relationships and transforming big datasets,
    • perform queries and analysis to identify any anomalies and inconsistencies within developed reports,
    • optimize developed tools and implement adjustments according to stakeholders requirements,
    • understand business correlation of analyzed data,
    • 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 the latest Technology and Financial Crime trends,
    • design, develop and implement internal tools and automations.


    Apply if you:

    • have min. 4 years of previous experience in data analytics role,
    • have analytical skills with ability to collect, analyze and visualize large datasets and draw appropriate conclusions,
    • have very good knowledge of MS Office, in particular Excel and Access,
    • are experienced in data querying technologies (e.g. SQL) and programming languages for process automations (e.g. Python),
    • poses knowledge of data visualization/dashboarding/analytics technologies (Power BI),
    • graduated master’s degree (preferred in Statistics, Econometrics, Mathematics, Computer Science, Big Data),
    • have strong interpersonal skills, ability to build and maintain relationship,
    • speak English fluently (German or Dutch will be an advantage).


    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 - medical care package (incl. dental care, freedom of treatment, physiotherapy), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling, 
    • 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 get a bonus in exchange for recommending your friend to work with us.


    Recruitment process:

    • CV verification,
    • HC screening call,
    • case study,
    • final call with one of our managers/senior managers.



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