What are the responsibilities and job description for the Analytics Engineer position at Intelliswift - An LTTS Company?
Job Title : Analytics Engineer
Location : Onsite at either Sunnyvale CA or Burlingame CA
Duration : 12 months potential extensions
W2 Contract
As an Analytics Engineer for the Customer Experience (CX) team, you will be a part of a global team that unlocks the power of customer feedback and insights to drive business improvements. Your background and experience in creating data pipelines and insightful self-service dashboards will provide visibility into the health of our key business metrics, thereby enabling us to deliver insights that enhance customer experiences. Additionally, you will contribute to the development of data governance policies, data quality standards, and data visualization best practices, ensuring the accuracy, reliability, and actionability of our data assets.
We're seeking an Analytics Engineer with a strong technical background and functional expertise in customer experience insights, specifically in customer support and operations. To excel in this role, you'll need to be passionate about data, adept at managing multiple projects simultaneously, and thrive in a fast-paced environment. You should also possess excellent organizational and presentation skills, be able to build and maintain strong relationships with internal partners and stakeholders and demonstrate a proven ability to work effectively within cross-functional teams.
Minimum Years of Experience : 5
Must have Skills :
- Programming Skills : Python Proficiency in Python programming language is essential for this role, including experience with popular libraries like Pandas, NumPy, and Matplotlib.
- Data Engineering Experience : SQL and Data Pipelines Experience with building data pipelines and Extract, Transform, Load (ETL) processes using SQL and platforms like Apache Airflow or AWS Glue is a must-have skill.
- Business Acumen : Understanding Customer Experience Understanding of customer experience principles and metrics, including ability to analyze and interpret customer feedback and behavioral data, is crucial for success in this role.
- Data Analysis and Visualization : Working with Metrics Experience working with metrics and creating interactive dashboards using tools like Tableau, Power BI, or others, along with proven communication and presentation skills to deliver actionable insights, is essential for this role.
Nice to have Skills :
