| Data Analytics Engineer II 100% Remote at Remote, Remote, USA |
| Email: [email protected] |
| Passport Number is Mandatory Hi, Greetings From Ampstek !! We are a Global staffing firm and we are Tier 1 vendor for all requirements and we can close positions immediately. Please review our job opening below and kindly send us the updated resume ASAP along with the details of consultants; Please add [email protected] in your distribution list Job Title: Data Analytics Engineer Locations: 100% Remote Type: Contract Job Description The Data Analytics Engineer will work closely with Agent Assist customers to understand the business objectives, define and implement ways to capture the relevant measurements as it relates to these objectives. The engineer will work on ETL process, statistical analysis, developing dashboards for internal and external stakeholders. Responsibilities Tasks: Build reusable ETL pipelines to support Agent Assist engagements for customers analytics and reporting needs Build reusable tools/libraries to close the gap between customer needs and product readiness Build statistical analysis playbook and best practices Build visualizations/dashboards template to support Agent Assist engagements Ad-hoc data analysis and ingestion as needed Troubleshoot the metrics differences between Google and Customers measurements Minimum Qualifications You must meet these minimum qualifications to apply for this job: BS degree in an analytical/technical subject area (Statistics, Mathematics, Computer Science, Engineering) or equivalent practical experience Proficiency in SQL for data processing on large distributed datasets 3 years of experience with statistical and ML packages in Python 3 years of experience with statistical process control methods and outlier detection 3 years of experience in building data pipelines and data models 3 years of experience with data visualization tools Preferred Qualifications Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable: Familiarity with CCAI Insights, BigQuery, Data Studio or Looker Capable of translating analysis results into business recommendations. Strong written and verbal communication skills. Proven experience collaborating with cross-functional team members. Ability to work in a fast-paced, constantly evolving environment. Thanks & Regards Aatmesh Kumar | Technical Recruiter Email: [email protected] Desk: +1 6093602638 See what's happening on our social sites Organization Name | 103 Carnegie Center Drive, , Suite 300, , Princeton, NJ 08540 Update Profile | Constant Contact Data Notice Sent by [email protected] powered by Try email marketing for free today! Keywords: machine learning active directory information technology New Jersey |
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| Thu Dec 07 20:03:00 UTC 2023 |