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Oliver Wyman Digital: Data & Analytics - Analyst/ Senior Analyst - Madrid (Spain)

Detalles de la oferta

Description : WHO WE ARE : Oliver Wyman is a global leader in management consulting that combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation.

Our mission is to help clients achieve lasting success by solving their most complex problems and seizing their biggest opportunities.

We believe in the power of diverse perspectives and collaborative teams to drive innovation and impact. Our consultants come from a range of backgrounds and experiences, and we embrace the unique skills and insights they bring to our work.

At Oliver Wyman, we are proud of the values that we aspire to live by. We are committed to creating an inclusive environment where everyone can thrive and reach their full potential.

WHAT IS THE DIGITAL AND ANALYTICS PRACTICE? Data & Analytics is a specialist business unit within Oliver Wyman, set up in 2017 in Newcastle-upon-Tyne and has since expanded across Europe, including Milan, Berlin, Madrid and Athens.

The practice is a dynamic, fast-growing team of quantitative analytics specialists. We work closely with our colleagues across Oliver Wyman to cover a global footprint, working across multiple industries including but not limited to Financial Services, Insurance, Retail, and Transportation.

Clients hire us for our depth of insight and expertise; expertise that comes from specialization. We combine analytical rigour with a relentless focus on client impact.

We are looking for Analysts and Senior Analysts to pursue a career in quantitative analytics.

Working with us offers excellent career and growth opportunities for highly motivated individuals with relevant education in a quantitative subject.

WHAT YOU WILL DO : Manage the execution of individual project workstreams, which typically includes developing hypotheses, managing data collection, model creation, and analyses. Conduct primary and secondary research, creatively tackle information limitations, and surface insights. Support our Partner group in project delivery through accurate and high-quality execution. Obtain training and guidance from a blue-chip consulting firm while being part of an ambitious start-up. Enjoy flexible working and a market-leading work-life balance. Travel approximately 50% of the time, with consideration for individual needs when staffing roles. Receive in-depth training beyond what is typical for an Oliver Wyman consultant. WHY JOIN US Come aboard if you are excited by challenges and want to work across different cultures. We want you to step out of your comfort zone and embrace your curiosity.

You'll learn on the job via our apprenticeship model, focusing on research and analysis, with opportunities to develop your communication, presentation, and client-management skills.

You'll find genuine colleagues who stand by their beliefs and measure success by the lasting impact you create together. We believe in flexibility, including hybrid working opportunities and participation in social activities.

Immediate impact, continuous challenge You'll work on challenging projects that have a significant impact on clients, industries, and societies from day one. We'll ask you to be brave, challenge the status quo, and strive to build something new to shape our firm and the world around us.

You'll be a contributing team member from the start, building trust-based relationships with stakeholders and delivering breakthrough impact.

Your learning curve will be steep, with each project offering new opportunities to expand your toolkit and collaborate with specialists who have deep subject-matter and technical expertise.

You'll likely have the chance to travel within your home market and internationally. No two weeks are ever the same.

Chart your course; we support the journey You'll have the opportunity to work on projects across all our industries and capabilities, with the option to specialize early or defer specialization for several years.

Various colleagues will guide and coach you throughout your career, including a dedicated buddy, a career adviser, and your talent manager. We care deeply about sustainable work-life quality and provide career flexibility with a variety of programs including sabbaticals, non-profit fellowships, and externships.

We hire you to be you Our open, inclusive, and down-to-earth culture will enable you to bring your best authentic self to work. You'll work alongside down-to-earth colleagues who do serious work but don't take themselves too seriously. There's no corporate mold to fit, and hierarchy doesn't get in the way.

We do not let artificial barriers stand in the way of your personal career progression.

WHO CAN APPLY? At least 3 months of relevant experience for an Analyst role. 2 years' experience for a Senior Analyst role. Bachelor's or Master's degree in a quantitative discipline, ideally Mathematics, Statistics, Physics, Computer Science, or Engineering with strong quantitative applications. Strong analysis, documentation, and communication skills. Solid experience in Python, R, or SAS programming languages and use of databases (SQL). Ability to work effectively and collaboratively in a team. Be independent and work under limited supervision respecting defined timelines. Be able to find innovative, practical, and flexible solutions to business issues. Present effectively results, potential issues, and implications. Excellent command of Spanish and English language (verbal and written). Ability to manage a heavy work volume and meet deadlines in an extremely fast-paced environment. Ability to maintain and respect confidentiality. Willingness to travel occasionally. HOW TO APPLY? Please submit your CV and cover letter. For more information about Oliver Wyman, please visit our website or apply to attend one of our events, details of which can be found there.

Oliver Wyman is an equal opportunity employer and a wholly owned subsidiary of Marsh & McLennan Companies.

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Salario Nominal: A convenir

Fuente: Jobleads

Requisitos

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