An opportunity to work on high-visibility projects with top clients around the globe.
Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional.
Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities.
Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.
Roles & Responsibilities:
As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications.
This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications.
Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams.
Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes.
As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect.
Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability.
Responsible for sanity testing of use cases as part of pre-deployment and post-production activities.
Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities.
Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications.
Professional & Technical Skills:
Bachelor's or Master's degree in any engineering stream or MCA.
Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable.
Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage.
Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc.
Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL.
Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good.
Knowledge on PowerBI & PowerApps is an added advantage.
Excellent analytical and problem-solving skills, with a data-driven mindset.
Proficient in Excel, MS Word, PowerPoint, etc.
Ability to solve complex business problems and deliver client delight.
Strong writing skills to build points of view on current industry trends.
Good Client handling skills; able to demonstrate thought leadership & problem-solving skills.
