Senior Data Architect

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Job Description

American Express is a global services company and the world’s largest card issuer. Our direct relationships with many millions of consumers, businesses and merchants worldwide - combined with our leading edge marketing, information management and rewards capabilities - enable us to offer an array of valuable services that enrich lives, build business success, encourage financial responsibility and create communities of people with common interests.
Why work for American Express?
American Express for 9th consecutive year has been voted among India’s top 10 workplaces by the Great Place to Work institute. In recognition of our consistent performance, we were nominated to the Great Place to Work “Hall of Fame”.
A career at American Express is rich in experience and offers opportunities to build lasting relationships with our customers.
Job Description :
We are seeking a Developer to support the Learning MIS & Analytics Team. The Learning MIS & Analytics (LMA) team is responsible for measuring and analyzing global learning processes, with the objective of making global learning more efficient, effective, and sustainable.

In this role, the incumbent’s responsibilities will include – but not be limited to – the following:

  • Work across teams to analyze, define, build, test, and implement robust reporting that reflects learner performance at multiple stages of the learning journey.
  • In addition to delivering report capabilities, the candidate will complete project status updates, communicate project timelines and implementation plans, and advise/train on changes introduced to the business (i.e. new or enhanced reporting tool); the candidate will own the full life cycle of each project initiative.
  • Leverage a variety of technical tools (i.e. SQL Server, DB2, Teradata, Hive, MS-Office suite, Magellan, Secure Shell, command-line UNIX, and Tableau Desktop/Server) to model, build, test, and implement reporting solutions that serve both mid- and executive-level customer bases
  • Actively engage with multiple Learning stakeholder groups (i.e. Design, Delivery, and Global Knowledge Integration) to both define and recommend optimal reporting & analytic solutions
    Partner with enterprise technology group to define, plan, communicate, and verify releases
    Identify opportunities to streamline, automate, performance-tune, and/or drive greater data quality within the technical infrastructure that supports Learning reporting & analytics
    Create new metrics, tools, processes or reporting that will provide valuable data insights to GSLN and enable them to operate more efficiently and effectively
  • Explore, learn, and adopt tools/technologies in the machine learning space (i.e. Pandas, Python, PySpark, Hive, elastic search, etc.) to provide the business with deeper analytical insights




  • A degree in statistics, Six Sigma Certification, or previous work in data science related field a plus but not required
  • Graduate with minimum 3 years in Structured Query Language (SQL), such as MS-SQL, MySQL or HiveQL
  • Solid command and application of data engineering tools and concepts, including Big Data, relational database, raw data files, organized data layer (ODL), and command-line UNIX
  • Strong data mining skills (i.e. SQL, Hive, Python, R, etc.) are essential
  • Experience with data organization techniques, including with Magellan or similar ETL tools Experience with Tableau Desktop, Tableau Server, and published workbook creation/delivery
  • Intermediate to advanced knowledge of MS Excel, including Pivots; solid background in VBA/ macro programming & debugging a plus
  • Ability to successfully collect, analyze, and integrate data from a wide variety of data sources
  • Ability to view the end-to-end data flow process, understand upstream/downstream effects of implementing change, and plan appropriately to compensate and/or adjust when necessary
  • Ability to work independently and drive results; candidate must be able to accept high-level project requirements and implement them with minimal leader intervention
  • Strong execution and project management skills to implement and maintain the performance management processes and systems
  • Demonstrated proficiency in Microsoft Office related products (Excel, Access, PowerPoint, Project, SharePoint, OneNote etc.)
  • Strong time management skills and a proven ability to consistently deliver on preset timelines
  • Strong written and verbal communication skills, including the ability to competently and confidently interact with multiple leadership levels
  • Committed team player with ability to build and nurture relationships – not only in person but also with a large, geo-dispersed virtual community
  • Familiarity with Agile SDLC (concepts/roles/processes/tools) a plus but not required

ReqID: 19016840
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Nov 13, 2019, 5:38:59 AM