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Chubb | Jobs | Qliksense/QlikView Developer – (HR Analytics) | BigDataKB.com | 31-03-22

Job Location: Bangalore/Bengaluru

Greetings!!! We are looking for Qliksense Developer for Bangalore location who can join our team immediately /within 45 days. If you are interested in this opportunity, Please apply/revert with your updated profile and below details to [email protected] :

Total Exp:

Rel. Exp- Qliksense:

Rel. Exp-Python,SQL:

Cur. Org:

Cur. CTC:

Exp. CTC:

Notice Period(<=45 days):

Offers if any:

Must Have Skills: Qliksense, Python,SQL


About Chubb Business Services India

Chubb is the worlds largest publicly traded P&C insurance company and a leading commercial lines insurer in the U.S. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients.

Chubb has more than $181 billion in assets and reported $40 billion of gross premiums written in 2019. Chubbs core operating insurance companies maintain financial strength ratings of AA from Standard & Poors and A++ from A.M. Best.

Chubb Limited, the parent company of Chubb, is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index.

Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs approximately 33,000 people worldwide.

Job Description:

Working with a wide range of stakeholders throughout the full data life-cycle, bringing an expert focus on database relationships/aggregation, analysis and reporting. You will blend advanced data collation capabilities and a variety of analytical/scientific approaches to translate complex business issues into actionable insight.

Relationships :

Working closely with the VP, Global Compensation Programs and HR Analytics, this role interacts with a diverse group of internal colleagues globally, including other HR and Finance professionals.

Duties and Responsibilities

  • Collate and manage data output from disparate systems (e.g. PeopleSoft HRIS, Taleo Applicant Tracking System (Talent Acquisition), the Talent Portal (L&D), Equity compensation (Fidelity) and Compensation Planning (WTW Reward)) into our global HR data warehouse (excel/SQL).
  • Execute on current human capital analytics commitments by delivering high quality analysis of data as specified in a timely manner (e.g. headcount reporting, bonus and equity pool calculation and growth factor analysis, salary movement analysis, turnover analysis, Diversity & Inclusion reporting, compensation planning analytics etc.).
  • Explore Chubbs human capital data to derive new or deeper insights which contribute to better decision making.


The successful Data Analyst needs to possess a combination of analytical and interpersonal skills.

Designs, models, documents, and guides the logical and conceptual relationship of data and database changes for complex applications. Analyzes needs and requirements of existing and proposed systems, and develops technical, structural, and organizational specifications.

  • Assembles large, complex sets of data and creates data set processes for verification, acquisition, mining and modeling.
  • Works with stakeholders to translate business requirements into database standards and monitor and optimize data quality.
  • Develop and maintain complex scripts/programs to support data computation, loading and integration
  • Ability to automate and streamline data reporting; building prototype models and dashboards.
  • Strong technical (statistical) capabilities. Must have a broad experience of using analytical concepts and statistical techniques (including hypothesis development, designing tests/experiments, analyzing data, drawing statistically defensible conclusions).
  • Experience with manipulation of raw data into insight.
  • Functional competency (e.g. Python, R, SQL or others, as appropriate).
  • Experience with enterprise Business Intelligence tool/s (Qlik Sense and Tableau are preferred).
  • Intellectually curious with both an analytical and holistic view of solutions.
  • High levels of accountability and personal judgment given the confidential nature of the data being used.

Education and Experience Requirements

  • Relevant degree in the field of research and quantitative methods (e.g. statistics, organizational behavior, data science, economics, math).
  • Exposure to research design, visualization techniques and analysis. Exposure to advanced statistical methods (e.g. hypothesis testing, machine learning predictions and text mining) a plus.
  • Ability to summarize findings effectively and high communication and collaboration skills.

Apply Here

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