Lead Specialist - Data Analytics & Insight

Reposted 5 Days Ago
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Hiring Remotely in Hiranandani Gardens, Mumbai Suburban, Mahārāshtra, IND
Remote
Mid level
Fintech • HR Tech • Insurance • Consulting
The Role
The role involves leveraging SQL, Python, and Databricks for data extraction, analysis, and visualization, collaborating with teams to drive business solutions.
Summary Generated by Built In
Company:Marsh

Description:

We are seeking a talented individual to join our Data Analytics & Insight team at Marsh Risk. 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 a good understanding of UK insurance market (Whitespace digital e-trading platform would be a plus), leveraging deep knowledge of SQL, Python, and Databricks to extract, transform, and analyze data.

  • Collaborate with the UK Aviation team to develop innovative business solutions and growth initiatives using data engineering and analytics capabilities.

  • Build and maintain data pipelines and workflows in Databricks, optimizing performance and ensuring data quality.

  • Develop and maintain SQL queries and Python scripts to manipulate large datasets and generate actionable insights.

  • Design and deliver visually compelling dashboards and reports primarily using Power BI.

  • Analyze data from legacy systems and present key statistics and KPIs to stakeholders to support decision-making.

  • Work closely with cross-functional teams to align analytics outputs with business objectives and strategy.

What you need to have:

  • Bachelor’s/Master’s degree in Computer Science/Statistics/Mathematics/Economics/ Engineering discipline

  • 4-6 years of experience in business intelligence, data analytics, or reporting with strong hands-on expertise in SQL, Python, and Databricks.

  • Strong data engineering skills including data extraction, transformation, and loading (ETL) processes.

  • Ability to work with large datasets and complex data models.

  • Strong data visualization skills with experience in Power BI.

  • Excellent problem-solving, critical-thinking, and communication skills.

  • Strong attention to detail and the ability to work with complex data sets.

  • Advanced proficiency in SQL for data querying and manipulation.

  • Strong programming skills in Python for data analysis and automation.

  • Hands-on experience with Databricks on cloud platforms (Azure or AWS) focusing on data engineering and analytics.

  • Knowledge of data pipeline optimization and cloud data services.

  • Experience with Power BI for dashboard creation and data visualization; familiarity Power Apps is highly desirable.

  • Institutionalize the business and domain knowledge gained through Knowledge management principles and techniques

  • Collaborate effectively with stakeholders and team members to deliver high-quality analytics & engineering solutions.

What makes you stand out?

  • Strong communication skills to convey complex data insights simply and effectively.

  • Ability to understand and translate business requirements into technical solutions.

  • Excellent stakeholder management and teamwork abilities.

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.

Skills Required

  • Bachelor's/Master's degree in Computer Science/Statistics/Mathematics/Economics/Engineering
  • 4-6 years of experience in business intelligence, data analytics, or reporting
  • Hands-on expertise in SQL, Python, and Databricks
  • Strong data visualization skills with experience in Power BI
  • Experience with data extraction, transformation, and loading (ETL) processes

Marsh McLennan Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.

  • Leave & Time Off Breadth Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
  • Healthcare Strength Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
  • Retirement Support Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.

Marsh McLennan Insights

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The Company
HQ: New York, NY
78,000 Employees
Year Founded: 1871

What We Do

Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.

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