Billing Analytics & Automation Specialist

Job Description & Summary The C2C CoE team at PwC Poland supports business managers from the initial idea stage, through client negotiations, all the way to the successful completion of a project. We help structure and organize managers’ work, assess project profitability, provide guidance in client interactions, oversee documentation, and track down forgotten contracts. As an internal PwC team, we ensure that collaborative work is allocated and charged fairly, and that no one is left alone to navigate the maze of systems and procedures. We are looking for: Billing Analytics & Automation Specialist Your future role: Analyse team workflows, identify repetitive activities and propose automation solutions to streamline reporting and day-to-day operations, Design and develop reports, dashboards and analytical solutions in Power BI to support business and financial process insights, Build data models and reporting structures that address business users’ needs, Analyse end-to-end processes and identify dependencies, inconsistencies and areas for improvement, Develop data transformation and processing workflows using Power Query and M language, Partner with business teams to define reporting requirements and translate business needs into analytical solutions, Present analytical findings through data storytelling and communicate insights in a clear and business-friendly manner, Ensure the quality, consistency and continuous development of data sources used for reporting and analysis, Proactively recommend new KPIs, reports and analytical solutions that improve organisational efficiency. ​ Apply if you have: Experience in developing reports and dashboards in Power BI, Advanced Excel skills and the ability to effectively analyse large datasets, Experience in data modelling and a strong understanding of relationships between business data, Knowledge of Power Query and M language, The ability to identify patterns, dependencies and trends in data and translate findings into actionable recommendations, Experience in analysing business processes from a data-driven perspective, A strong interest in data analytics and modern technologies supporting reporting and decision-making, The ability to communicate analytical insights effectively through data storytelling, Strong analytical thinking skills, attention to detail and a focus on data quality, Fluent communication skills in English. Nice to have: Experience with AI-based solutions, Experience working with SQL, Experience in business process analysis and optimisation, Experience implementing reporting or operational process automation, The ability to identify opportunities where data and automation can increase team efficiency. By joining us you gain: Remote work model, flexible start of the day, workation, sabbatical leave, Full support during onboarding, mentoring, training, workshops, co-/financed certification by PwC, and native speaker language lessons, Comprehensive medical and wellbeing program (e.g. freedom of treatment, physiotherapy, dental care discounts, coaching, mindfulness sessions, psychological support, financial and legal advisory), Possibility to create your own benefit plan (e.g. lunch pass, insurance package, concierge, pet care package, massages) and access to a cafeteria (e.g. vouchers, IT equipment discounts, car purchase offers), 3 hours of paid leave per month for volunteering, Additional day off for your birthday, Employee referral program. Recruitment process: Fill in the application form and submit your CV, Have a phone call with our recruiter, Meet us for an interview. If you have any questions, contact us at: This email address is not for submitting CVs. Your personal data will be processed for recruitment purposes by PwC Advisory sp. z o.o. sp.k. or another PwC entity which runs a recruitment process – (). 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 . #LI-remote #LI-ML3