Lead specialist

4 weeks ago

Mumbai, India Marsh McLennan Full time
We are seeking a talented individual to join our Analytics 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 have the following skills and experience:
Strong skills in concept building and creating Art of Possible for Analytics using data, latest market trends and technology to drive business outcomes.
Strong Data Management skills by gathering data from multiple source systems, clean, consolidate and transform into key insights.
Exploratory Data Analysis, Reporting key metrics and analyze disparate data sets together for patterns and insights.
Performing Quality Assurance (QA) on datasets such as data accuracy, data logics and data comparison with dashboards.
Automating the process of capturing data from different sources, cleaning and creation of insights.
Understanding of insurance claims, policies, terminologies, health risks and wellbeing are advantage
Having experience of around 4-6 years in the BI field- particularly in Qliksense
Having Database management skills using SQL for 3-5 years.
Qliksense Developer profile
Experience in Dashboard Development
Joins, Mash ups, Data Prep in Qlik Data Editor
Should have worked on Extensions
Knowledge around Java Script and Extension development is required
Good in articulating data driven solutions to visually apt charts
Having knowledge around R/Python/Power BI/Tableau will be preferred
What you need to have:
BE/B Tech in Computer Science or Bachelor/ Master’s Degree in Maths or Statistics
Up to 4 to 6 years of progressive experience in Data Engineering team.
Hands-on exp. In excel (advance excel knowledge building macros, VBA- expert, R/Python- Intermediate) and good understanding of BI tools –Qlik Sense or power BI/ Tableau.
Proficiency in extracting data from multiple data sources – Web, PDF, Excel or any database with broad working knowledge of methodologies used for analytics is required.
What makes you stand out?
Degree or Certification in Data Management, Statistics , Analytics and BI tools (Qlik Sense & Tableau) ( would be preferred )
Experience in Healthcare sector, working with Multination clients.
Why join our team:
Your contributions will impact strategic decision-making and business performance.
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 , a business of Marsh Mc Lennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh Mc Lennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh , Guy Carpenter , Mercer and Oliver Wyman . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh Mc Lennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com , or follow on Linked In and X .
Marsh Mc Lennan 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 Mc Lennan 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 Mc Lennan 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”

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