Manager - IO - Performance Data Analyst

Mumbai Central Avenue, India

M&G plc

M&G plc is an international leader in savings and investments with more than five million customers

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We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited). We are a fully owned subsidiary of the M&G plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

 

M&G Global Services has rapidly transformed itself into a powerhouse of capability that is playing an important role in M&G plc’s ambition to be the best loved and most successful savings and investments company in the world.

 

Our diversified service offerings extending from Digital Services (Digital Engineering, AI, Advanced Analytics, RPA, and BI & Insights), Business Transformation, Management Consulting & Strategy, Finance, Actuarial, Quants, Research, Information Technology, Customer Service, Risk & Compliance and Audit provide our people with exciting career growth opportunities. Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We are seeking a skilled and detail-oriented Data Analyst / Power BI Analyst to join our dynamic team. The successful candidate will be responsible for analysing and presenting complex data sets, creating insightful reports and performance dashboards using Power BI, along with providing data-driven recommendations to support business decisions. They will also be responsible for generating the performance team's management information on a monthly basis and implementing the use of AI and automation within the team.

Key Responsibilities:

Data Analysis:

  • Collect, clean, and preprocess large datasets from various sources.
  • Analyse data from across the Performance landscape to identify trends, patterns, and anomalies, so it can be used to provide valuable insights in order to drive better client outcomes.
  • Perform statistical analysis to support business strategy and operations.

Power BI Reporting:

  • Develop, maintain, and improve Power BI reports and dashboards within the Performance team
  • Use DAX (Data Analysis Expressions) to manipulate data within Power BI.
  • Ensure data visualisations are both informative and visually appealing. Providing simple concise meaningful insights

Business Intelligence:

  • Collaborate with stakeholders across the business to understand their performance data needs and requirements.
  • Translate business needs into technical specifications for reporting and analysis solutions.
  • Provide actionable insights and recommendations based on analysis.

Database Management:

  • To understand and aid the data platform teams with performance data storage and delivery solutions.
  • Ensure data integrity and security within databases.
  • Create and maintain documentation of data processes and models.

Continuous Improvement:

  • Implement AI usage and drive automation where appropriate within the performance team, driving efficiency and lower risks
  • Stay updated with the latest trends and technologies in data analysis and business intelligence.
  • Identify opportunities for process improvements and implement best practices in data presentation.

Controls:

  • Supporting the implementation of controls and procedures and documenting the same.
  • Supporting the implementation of controls within M&G’s central Investment Data Platform.
  • Ensuring data requirements are fully supported within all required systems.

Qualifications:

  • Bachelor’s degree in data science, Computer Science, Statistics, Business Analytics, or a related field. Master's degree is a plus.
  • Proven experience as a Data Analyst or Business Intelligence Analyst.
  • Proficiency in Microsoft Power BI with demonstrable experience in creating complex dashboards and reports.
  • Strong proficiency in SQL for querying databases.
  • Experience with data processing and analysis tools such as Excel, Python, or R.
  • Knowledge of data warehousing concepts and ETL processes.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills to present findings and recommendations effectively.

Skills:

  • Technical Skills:
    • Advanced knowledge of Power BI, DAX, and Power Query.
    • Proficiency in SQL and data manipulation.
    • Experience with data analysis tools (Excel, Python, R).
  • Analytical Skills:
    • Ability to analyse and interpret complex data sets.
    • Strong statistical analysis skills.
    • Ability to draw meaningful insights and actionable recommendations from data.
  • Communication Skills:
    • Excellent verbal and written communication skills.
    • Ability to explain technical concepts to non-technical stakeholders.

  • Organisational Skills:
    • Strong attention to detail and accuracy.
    • Ability to manage multiple tasks and projects simultaneously.
    • Effective time-management skills.

We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Business Analytics Business Intelligence Computer Science Consulting Data analysis Data Warehousing Engineering ETL Excel Finance Power BI Python R Research Robotics RPA Security SQL Statistics

Region: Asia/Pacific
Country: India

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