About eClerx
eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.
About eClerx Digital
eClerx Digital is the trusted partner of choice to many of the world’s largest global brands for creative production, e-commerce/web operations, and analytics and insights services. We help clients maximize the results of their digital activities across the customer journey. Global industry leaders partner with us to cost-effectively scale their digital activities by leveraging our highly skilled blended resource model.
To know more about us, visit https://eclerx.com
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.
Roles & ResponsibilitiesSkillsetsAnalyze datasets to generate insights. Create dashboards and reports using BI tools. Support business teams with ad-hoc analysis. Ensure data accuracy and consistency.Proficiency in SQL, Python and Excel. Strong analytical and communication skills. Familiarity with at least 1 cloud platform (Azure/AWS/GCP).Good to have: Understanding to Machine learning. Develop and maintain data pipelines. Ensure data quality and integrity. Support data ingestion and transformation processes. Collaborate with data scientists and engineers.Good to have: Experience with BI tools (Power BI/Tableau/CRMA). Experience with ETL tools and Databricks/Snowflake.