Lead Specialist - Data Analytics & Insight

Company:Marsh

Description:

We are seeking a talented individual to join our Data Analytics & Insight team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

We will count on you to:

• Wrangle, standardize and integrate US Worker’s Compensation and Auto Liability (AL) claims data across clients and transform them to be consumed for Analytics

• Review metrics in Dashboards to make sure that the values are within the defined range and call out any anomaly or unusual trends

• Handle complex and large claim files originating from third party’s Risk Management Information Systems (RMIS)

• Review claims data to identify the gaps and raise flags highlighting the impact

• Co-ordinate stakeholders in US to understand the business questions, scope of analytics and agree on timelines

• Excellence in deliverables with high accuracy and within the set turn-around-time for project requests

• Manage activities ensuring that workflow remains on track for completion by target dates

What you need to have: 

• 1 to 3 years of experience with strong data analytics skillsets. Candidates with General Insurance domain across different types of claims, claims lifecycle and claim data will be preferred

• Graduate in any Stream or any equivalent education programme

• Candidates with experience on US Worker’s Compensation and/or Auto Liability claims will have an advantage

• Microsoft Excel – Intermediate on data wrangling, data integration, macros and exceptional ability to handle large sets of data. Must be at ‘Intermediate’ level of proficiency

• Strong verbal and written communication skills - excellent email writing skills.

• Basic level Python, BI tool or VBA Macros with demonstrated experience in building data transformation and modelling will be an added advantage

• Ability to interact virtually with business stakeholders from junior through senior levels

What makes you stand out?

• Problem solving and critical thinking approach

• Strong communication and presentation skills. Ability to interact with all levels of internal and external business partners

• Capable of bringing in efficiency in existing processes

• Knowledge and experience of working on claims data

• Quick learner and enthusiasm for data analytics and hunger to explore new tools/platforms

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 Risk is a business of Marsh (NYSE: MRSH), 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 about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, 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.