We are seeking a talented individual to join our Data Analytics team at Marsh McLennan. 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.
Lead Specialist - Data Analytics & Insight
We will count on you to:
- Ability to work with International stakeholders across all levels, understand business objectives and make sure any analysis and findings are aligned to those business objectives
- Assembling large, complex sets of data Identifying, implementing internal process improvements including optimizing data delivery and automating manual processes
- Deliver complex regular and ad-hoc analysis: Support on complex analysis requests from various business areas to provide insight on specific areas of interest on a regular as well as ad-hoc basis
- Gather, analyse and model data using analytical tools and techniques to develop business insights to drive decisions.
- Should possess strong data visualization abilities using qlikview/qliksense
- Show solid problem solving capability,
understand the business requirement and explore all possible solutioning technique to achieve the desired result.
- Should possess strong data visualization abilities to communicate the insights from data
- Attention to detail is a must with a focus on executive quality presentations
- Multi-tasking on multiple projects on tight timelines occasionally.
- Sound verbal and written communication skills.
What you need to have:
- Bachelors degree in Engineering / Analytics or Masters Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data visualization / Analytics.
- 3-6 years of progressive experience mining large complex data sets, using a variety of advanced quantitative/modelling techniques.
- Technical expertise with data models, data mining, and segmentation techniques
- Strong consulting experience and stakeholder management
- Intermediate to advance excel skills and Power BI, Ql
📌 Lead Specialist (Bengaluru)
🏢 Mercer
📍 Bengaluru
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