Analytics Solutions Consultant

Company: Marsh Description: Analytics Solutions is part of Marsh Advisory, which sits alongside the core insurance broking business and provides Strategic and Operational Risk advice to the world's largest companies. We are a team of Actuaries, Data Scientists, Analysts, subject specialists and sales professionals providing a variety of actuarial and analytical consulting services. If you are looking for a dynamic, challenging environment where business moves fast, and you have the chance to develop yourself in Analytics Solutions, Marsh Turkey is just for you! What can you expect? An outstanding opportunity has become available for a Consultant to join our Advisory team at Marsh. The successful applicant will participate in Analytics Solutions projects with a diverse range of clients. This role will involve executing Analytics projects through identifying, analyzing, modeling, quantifying and effectively transferring risk. This position is suited for Consultants who will work in Risk Consulting. We will count on you to: Research, planning, execution, delivery and reporting of Analytics Solutions projects Help projects to a high level of client satisfaction and within budget and timeframe Develop relevant recommendations and solutions to enhance the quantification of risk in a range of formats including analysis, modeling and reports Leverage AI tools and AI-enabled methodologies to improve analytics workflows, automate repetitive tasks, enhance reporting quality, and support process transformation across client engagements Expand your knowledge in emerging and ever-developing areas including Risk Modeling, Quantification Methodologies, Actuarial Modeling and Data Science Actively share your knowledge and skills with the wider team to facilitate overall and ongoing team capability improvement What you need to have: Degree in Statistics, Mathematics, Actuarial Science, Mathematical Engineering, Industrial Engineering or related departments Advanced English writing, reading and speaking proficiency 1-3 years of experience in a similar field Proficiency in Excel Interest in fields such as Insurance, Risk, Data Science, Actuarial and Statistical modeling Knowledge in R, Python, SQL, Power BI, Qlik Sense and/or similar programs/tools Knowledge of AI tools and use cases, with the ability to apply AI in data analysis, reporting, and process improvement A current driver’s license is essential as travel may be required What makes you stand out? A professional attitude with excellent interpersonal and communication skills Ability to understand analytical needs in projects and identify outcomes that meet business goals Identify and implement opportunities to use AI in analytics and operational processes, driving efficiency, automation, and transformation in project deliveryExcellent time management and organizational skills Flexibility and adaptability to take on tasks that may be outside your comfort zone Programing and algorithm skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit , or follow us on LinkedIn and X. Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.