Hybrid Senior Data Analyst, German

Posted 2 days ago

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About the role

  • Senior Data Analyst engaging in data analytics consulting, collaborating with diverse teams and German-speaking clients across PwC's financial services.

Responsibilities

  • You will be involved in data analytics consulting projects – proposing solutions, gathering business and technical requirements, and delivering data-driven solutions
  • You will collaborate with team members on client projects to develop data-driven insights and recommendations for complex business and regulatory challenges, playing a pivotal role in project delivery while building and maintaining strong relationships with clients and stakeholders
  • You will design, develop and implement management information products, dashboards and visualizations, analytical solutions and raw data extraction processes, mainly using Power BI and SQL
  • You will provide insights on transforming raw data into informative visualizations supporting management and regulatory decision-making
  • You will be responsible for modelling data structures, relationships and queries
  • You will support and mentor more junior colleagues in developing their consulting and technical competencies
  • You will collaborate across diverse teams – from developers and data engineers to client representatives – ensuring smooth communication and effective solution delivery
  • You will actively support the company’s sales and pre-sales activities, including consulting and presenting PwC’s technological capabilities in direct contact with clients
  • You will work with German-speaking clients and stakeholders, participating in workshops, meetings and ongoing project communication
  • In addition to project work, you will keep up with the latest Technology and Anti Financial Crime trends and contribute to internal initiatives and new value propositions.

Requirements

  • Master’s degree (preferably in Statistics, Econometrics, Mathematics, Computer Science or similar)
  • Strong analytical skills with the ability to collect, analyze and visualize large datasets with attention to detail and accuracy
  • Experience in presenting data and analytical insights to business stakeholders and cross-functional teams
  • Experience with gathering, documenting and translating business requirements into analytical solutions
  • Very good knowledge of MS Office (especially Excel)
  • Experience with SQL for data querying, transformation and analysis
  • Knowledge of data visualization / dashboarding tools (e.g. Power BI, Tableau)
  • Excellent interpersonal skills and ability to build and maintain strong relationships with clients
  • Ability to work effectively under pressure while maintaining a high level of accuracy
  • Fluent written and spoken English
  • Fluent written and spoken German (minimum C1 level) – required for daily cooperation with German-speaking clients and project teams
  • Willingness to travel occasionally and participate in international projects

Benefits

  • Work flexibility - hybrid working model, flexible start of the day, 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 well-being 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.

Job title

Senior Data Analyst, German

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Location requirements

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