Marsh McLennan

Specialist - Digital Visualization and Data Analytics Dev

Posted 3 Days Ago

Be an Early Applicant

In-Office

2 Locations

Mid level

In-Office

2 Locations

Mid level

Develop digital analytics products for multinational clients, automate processes, perform data analysis, and ensure data quality using BI tools.

The summary above was generated by AI

Company:Mercer

Description:

We will count on you to:

Developing digital/web based data analytics products for multinational clients groups. Also, generate efficiency & productivity by automating the internal processes for the business.

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 Qlik sense/ Power BI

Having Database management skills using SQL for 3-5 years.

Qlik sense / Power BI Developer profile

Experience in Dashboard Development

Joins, Mash ups, Data Prep in Qlik Data Editor or related Power BI functionalities e.g. DAX, Extensions etc.

Should have worked on Extensions

Knowledge around JavaScript 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 & Power BI) ( would be preferred )

Experience in Healthcare sector, working with Multination clients .

Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan 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 $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X.Marsh McLennan 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 McLennan 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 McLennan 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.

Top Skills

Excel

JavaScript

Power BI

Python

Qlik Sense

SQL

Tableau

VBA

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