047560-Data Analyst Lead

About Capgemini:


A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients� opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50 year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion.


Visit us at www.capgemini.com. People matter, results count.




Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.



This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.




Click the following link for more information on your rights as an Applicant -http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Job Description: Support the delivery of curated, high quality refined data with the level of polish needed for external consumption. 

� Gather and translate business requirements into articulable data needs

� Track down and document sourcing of data needs for use by IT and business partners

� Transform business and technical metadata into external data product documents

� Research and communicate data related inquires to non-technical business partners and skilled IT resources as a Data SME.

� Profile and investigate structured and semi-structured datasets, reverse engineering based on business requests

� Review and sign off on development unit testing and QA test results

� Create and update internal project documents, including in-depth business metadata, UAT test plans and data integration

� Perform UAT analysis and drive standardization of UAT testing with the lens of an external consumer

� Create data quality metrics based off of UAT analysis and profiling and ensure implementation into final product.

� Determine downstream and upstream impact analysis on new changes and updates

� Ensure that data anomalies are detected and contained within thresholds

� Perform root cause analysis of data discrepancies based on data quality metrics

� Anticipate new issues and functionalities based on data quality trending.

Top Skills

� Ability to dig through data and form solutions (big data and unstructured data)

� 3+ Years’ Experience with Jason, Python, Spark, and SQL queries in Hadoop

Additional Details:

� Potential for extension

� SSV Process – Phone followed by video/in person meeting

(Includes Data Modeler, Data Miner.)  Responsible for importing, cleaning, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from data (may be presented in charts, graphs, and/or tables).  Also, design and develop relational databases for collecting and storing data and build and design data input and data collection mechanisms.  


Required Skills and Experience:


You are responsible for data related activities such as data extraction, profiling, cleansing, de-duplication, standardization, conversion, transformation and loading, data mining, warehousing, archiving and reporting. Responsible for all activities required to ensure optimum performance and data integrity of databases in production environments, in line with the requirements.  Responsible for server based databases in development and test environments including database software installation, database creation, performance and capacity design, backup and recovery design, security design.


� Qualifications: 2 � 5 (1 year min relevant experience in the role) years experience, Bachelor�s Degree.

� Should be proficient in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management.

� Should have progressing skills in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design.

 Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.







Posted on:

January 22, 2020

Experience level:

Experienced (Non Manager)

Education level:

Bachelor's Degree (�16 years)

Contract type:







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