Lead Specialist - Data Analytics & Insight
Mumbai - Hiranandani
Marsh McLennan
Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...Company:
MarshDescription:
Role - Lead Specialist - Data Analytics & Insights
Marsh is a global leader in insurance broking and risk management. Marsh McLennan Global Services India Private Limited (MMGS) is seeking candidates for the following position based in the Mumbai, India office
What can you expect?
Working on strategic projects that are a part of a global transformation journey of an industry leader
An entrepreneurial, outcome focused environment, with an opportunity to build a team in a fast paced environment
Opportunity to set up and institutionalise high impact processes
Opportunity to develop analysis that will directly impact client development, retention and experience
What is in it for you?
Discover what's great about working at Marsh and McLennan Companies – from the opportunities that our size brings, to our commitment to our communities and understanding the benefits you’ll receive. We are four businesses with one PURPOSE: helping companies meet the challenges of our time.
As a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organisation. Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. You will join a team of talented professionals from across the globe which is dedicated to helping clients manage some of the world's most challenging and complex risks. We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference.
Our rich history has created a client service culture that we believe is second to none. Our commitments to Diversity and Inclusion, Corporate Social Responsibility, and sustainability demonstrate our commitment to stand for what is right.
We will count on you to have the following skills and experience:
Expertise in Data Integration and Transformation:
Ability to merge and integrate data from multiple sources, such as internal databases, external APIs, spreadsheets, JSON and flat files.
Expertise in data transformation techniques, including data cleansing, normalization, aggregation, and de normalization.
Proficiency in creating data pipelines and workflows to automate data integration and transformation processes.
Assembling large, complex sets of data. Identifying, implementing internal process improvements including optimizing data delivery and automating manual processes
SQL Skills:
Strong command of SQL for querying and manipulating data in relational databases.
Knowledge of advanced SQL concepts, such as subqueries, joins, aggregates with joins.
Experience in optimizing SQL queries for performance and efficiency.
Data Structure Understanding:
Strong grasp of data modeling concepts and principles.
Understanding and working with complex data structures.
Ability to analyze and optimize data structures to meet performance and scalability requirements.
Data Visualization:
Experience in working on Visualization tools such as Power BI
Ability to develop insightful data visualization using the available data
Create and manage data models in Power BI
Use advanced visualization features of Power BI & proficient with DAX
Problem-Solving and Analytical Skills:
Ability to tackle complex data problems and develop innovative solutions.
Strong analytical and critical thinking skills to identify patterns, trends, and insights in large datasets.
Capacity to troubleshoot data issues and perform root cause analysis.
Soft Skills:
Understanding requirements, excellent communication skills and stakeholder management are crucial skills.
What you need to have:
Bachelor’s degree in any discipline
Experience of working with end to end tool development and delivery.
At least 4-6 years’ experience in data engineering working on large datasets and databases using SQL/Oracle, Alteryx and exposure to API’s..
Advanced Excel skills - highly proficient in using formulae, advanced pivot tables, selecting and creating charts etc. to enable analysis of data
Strong verbal and written communication skills to communicate and partner with stakeholders
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
Keenness and urgency to learn about the Marsh and the business unit’s business, and insurance industry in general
What makes you stand out?
Understanding of insurance industry terminology, data models, and business processes.
Knowledge of insurance-specific data requirements, such as policy information, claims data, underwriting data, etc.
Ability to examine data critically and identify analyses and synthesize trends out of them
Ability to take initiatives to strive for improvement in analytics techniques, process and output.
Disclaimer
Please note that the relocation assistance shall not be provided for the said position
Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone
Mention your employee id and official email address in the resume
MARSH
Marsh is the world’s leading insurance broker and risk adviser. With more than 45,000 colleagues operating in more than 130 countries, Marsh serves commercial and individual clients with data driven risk solutions and advisory services. Marsh is a business of Marsh McLennan (NYSE: MMC), the leading global professional services firm in the areas of risk, strategy and people. With annual revenue of over $20 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman. For more information, visit marshmclennan.com, follow us on LinkedIn and Twitter.
Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people regardless of their sex/gender, marital or parental status, ethnic origin, nationality, age, background, disability, sexual orientation, caste, gender identity or any other characteristic protected by applicable law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Data Analytics Data pipelines Data visualization Engineering Excel JSON Oracle Pipelines Power BI RDBMS SQL
Perks/benefits: Career development Flat hierarchy Flex hours Flex vacation Insurance Relocation support
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs