Senior Data Analyst - Power BI

Marsh McLennan

Mumbai

Hybrid

INR 1,200,000 - 1,800,000

Full time

14 days+

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Benefits offered by this job

Professional development opportunities
Inclusive and supportive culture
Career advancement prospects

Job summary

A leading global risk advisor is seeking a Manager for their Data Analytics team in Mumbai. This hybrid role requires expertise in data analysis and visualization, excellent communication skills, and the ability to work collaboratively across teams. Key duties include gathering and analyzing data to drive business insights, developing dashboards, and supporting strategic decision-making. Candidates should possess a relevant degree and 5-8 years of experience in data-centric roles, along with strong SQL and data visualization skills.

Qualifications

  • 5-8 years of experience in data analysis and large data sets.
  • Experience with data visualization tools is essential.
  • Demonstrate intermediate to complex SQL query writing skills.

Responsibilities

  • Analyze data to provide insights for business decisions.
  • Develop dashboards to track performance relative to KPIs.
  • Lead initiatives and engage with cross-functional teams.

Skills

Data analysis
Data visualization
SQL queries
Attention to detail
Stakeholder management
Problem-solving

Education

Bachelor's degree in Engineering, Analytics, or related field
MBA or Master's degree in Statistics, Computer Applications, Business Analytics

Tools

Excel
Power BI
Qlik Sense

Job description

We are seeking a talented individual to join our Data Analytics team at Marsh Mc Lennan. 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

Job Title: Manager – Data Analytics
We will count on you to:
  • Gather, analyze, and model data using analytical tools and techniques to develop business insights to drive decisions.
  • Develop dynamic dashboards that provide insights and visualization into performance relative to KPIs, projections, and historical performance.
  • Identify opportunities which add value to the business and make the process more efficient.
  • Use technical skills to gather and work with large volumes of data using the most suitable technology.
  • Have the ability to work with colleagues and stakeholders across levels, understand business objectives and make sure all analysis and findings are aligned to those business objectives.
  • Institutionalize data quality check mechanisms in the data gathering and analysis phases.
  • Develop scalable solutions for automations of reports.
  • Crete automated data pipelines from multiple sources and generate insights through descriptive analysis that can will help in understanding retention, claim, churn, new opportunity, etc.
  • Analyze competitors and peers in depth to create benchmark reports and trend analysis.
  • Support strategic decision making by providing actionable recommendations based on data analysis and adding value to the business by providing recommendations.
  • Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues.
  • Be responsible for the professional development of your reports and institute a succession plan.
What you need to have:
  • Bachelor's degree in Engineering, Analytics, or a related field, MBA or a Master's degree in Statistics, Computer Applications, IT, Business Analytics, or any discipline.
  • Proven experience of 5-8 years in data analysis, data visualization, and working with large data sets.
  • Demonstrate experience in writing intermediate to complex SQL queries for data extraction.
  • Possess data visualization abilities and experience with data visualization tools such as Excel, Power BI or Qlik Sense to effectively communicate insights from data.
  • Strong attention to detail and ability to work with complex data sets.
  • Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills
  • Excellent project management and organization skills
  • Superlative stakeholder management skills – ability to positively influence stakeholders.
  • Knowledge of statistical concepts and their application in data analysis.
  • Ability to analyze the data to generate insights and present the insights in business forums.
  • Synthesis skills- Ability to connect the dots and answer the business question.
  • Excellent problem-solving, structuring and critical-thinking skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
What makes you stand out?
  • Certifications in MS Excel, SQL and Power BI
  • Knowledge of Qlik and Tableau apart from Power BI for roles that require extensive data visualization.
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, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. 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 marsh.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.

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