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Prudential Financial

Compare

3.6

based on 6 Reviews

1 Prudential Financial Analyst Job

Lead Data Insight Analyst

Prudential

3.6

based on 6 Reviews

4-8 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Lead Data Insight Analyst

Prudential Financial

posted 4mon ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Data Analysis Python SQL Recruitment SAP Business Intelligence

+ 3 more

Job Description

Prudential s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Key

Perform strategic analysis of structured and unstructured data across multiple data sources.
Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate actionable insights and address reporting needs.
Defines data requirements and gathers and validates information, using judgment and statistical tests.
Support creation of Data Quality rules to bring data under formal governance.
Identifies innovative and creative opportunities to develop data insights and maximise data usage to develop new strategies and improve business performance.
Acts as a Subject Matter Expert (SME) for key systems/processes in subject teams and day-to-day functions
Ability to provide complex Business Intelligence solutions involving SQL, Python
Helping the team and guiding the junior team members
Extensive engagement with users (including senior management) for understanding & translating their requirements into user friendly dashboards/insights.
The incumbent will be expected to up-skill on an ongoing basis to also venture into Advanced Analytics and be familiar with data science languages like Python and R
Identify and manage risk in the area of responsibility including resolve blockers and bottlenecks.

Minimum Experience, Behaviors and Education Requirements

A university degree in Computer Science, Data Analysis or similar education and work experience
Minimum of 4 years experience in a similar role or as a data analyst
Experience on analysing mobile applications data.
Experienced in preparing business reports and professional documentation.
Exceptional analytical skills
Good knowledge and understanding of the power and value of data with an ability to apply technology solutions to meet business needs.
Ability to assess stakeholder needs to improve customer experience, show resilience under pressure, and provide best in class solutions.
Delivery-focused, with ability to meet agreed deadlines and delivery high quality output.
Experience in dealing with requests and queries from senior management.
Must have worked on mobile app data analysis.

Technical

Demonstrable experience of working in a data-related role; data analysis, architecture, data structures & modelling, data governance with hands-on technical experience of using associated technologies
Knowledge of ETL processes, and data warehousing principles
Expertise and experience in data visualization with advanced Tableau skills
Flexibility to work on and learn various technologies is a must
Advanced knowledge of SQL and Python or Scala
Experience with business tools like JIRA, Confluence will be a plus

Employment Type: Full Time, Permanent

Read full job description

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