Financial Performance and Analysis Senior Data Analyst

Angajator: WEBHELP Romania
  • Contabilitate Finante
  • Tip job: full-time
    Nivel job: peste 5 ani experienta
  • Actualizat la: 14.04.2021
    Scurta descriere a companiei

    Webhelp is a 50,000 people-strong global leader in business process outsourcing (BPO). We continue to specialise in customer experience but our capabilities extend across voice, social and digital channels. Our outsourced services have also expanded to include payment management, sales and marketing services.
    We engineer customer experiences on behalf of some of the world’s most progressive brands and through our transformational outsourcing proposition we can drive performance improvement, deliver a real and lasting transformation in clients’ operating models and deliver material financial advantage.
    Since its inception, Webhelp has grown significantly with more than 500 partners being served by our global teams which cross 35 countries and more than 140 customer experience hubs. In the last four years alone, our revenues have grown by more han 250%. We achieved this by investing in our people and the environment they work in, and developing the analytical and operating capability to deliver truly transformational outsourcing with solutions which meet the challenges of a now omni-channel world.


    Candidate Profile requirements:

    Engineering/ data science background
    Good understanding of finance KPIs
    Ability/seniority to exchange directly with Comex members or LOB Directors or regional CFOs
    Webhelp cultural fit
    English Proficiency


    Key assignments include:

    Working with the Head of FP&A on providing adequate analysis to the CEO and other comex members to run the company in the most informed and efficient manner
    Run detailed analysis around revenues, margins, capex and working capital at the group, regional or client level as well as operational KPIs to better understand trends or outliers
    Apply mathematical theories and techniques to solve practical problems in business
    Assisting in the group forecasting and budgeting exercises
    Use data analysis to support and improve business decisions
    Develop mathematical or statistical models to analyze data
    Support and collaboration with the various support team (sales, global accounts, business lines) better identify and understand macro and micro trends
    Investigate WH’s (massive) financial database for other underlying trends or outliers
    The candidate should enjoy taking initiatives and presenting outputs or key findings in a very clear and synthetic fashion