Data Analytics Engineer
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description:
As a Data Analytics Engineer atc Client Customer Experience (CX) team youll be part of a global team that unlocks the power of customer feedback and insights to drive business improvements. Your expertise in data analytics will help us better understand our customers needs preferences and behaviors enabling us to deliver exceptional customer experiences. Youll also contribute to the development of data governance policies data quality standards and data visualization best practices ensuring that our data assets are accurate reliable and actionable.
Were looking for a Data Analytics Engineer with deep technical skills and functional understanding and background in customer experience insights with the focus on customer support and operations. This role will partner with various functions across the end-to-end customer journey to build and scale data and advanced analytics solutions to enhance customer satisfaction and build brand loyalty while identifying opportunities to improve data foundations and analytics maturity. By analyzing complex data sets and identifying trends patterns and correlations youll help shape the future of our products and services.
To be successful in this role youll have a passion for data experience managing multiple projects concurrently and enjoy a fast-moving organization. Youll identify ways to tell a compelling story with data and strong design principles. You will thrive within cross-functional teams excel at building and managing relationships with internal partners and stakeholders and exhibit excellent organizational and presentation skills.
Role Responsibilities:
- Design develop integrate launch and maintain collections of data models queries reports and visualizations that support multiple use cases across customer journeys
- Work with various data sources including customer interactions feedback and behavioral data to identify trends patterns and provide actionable insights.
- Build and deploy predictive models to forecast customer behavior identify potential issues and optimize support processes.
- Create interactive and dynamic data visualizations that communicate complex insights to stakeholders.
- Work closely with customer service and operations product and engineering teams to integrate data insights into business decisions and drive customer experience improvements.
- Develop and track key performance indicators (KPIs) to measure the effectiveness of customer experience initiatives.
- Continuously update knowledge of advanced analytics techniques tools and methodologies to ensure best practices are applied.
Minimum Qualifications
- Masters degree in Computer Science Statistics Mathematics or related field
- 5 years of experience in data analytics Business intelligence data science or related fields.
- Experience working with operations functions preferable in the customer experience or customer support operations space.
- Background and knowledge of CX and VoC space.
- Proficiency in programming languages such as Python R or SQL
- Experience with machine learning concepts and experience working with machine learning libraries and frameworks (e.g. scikit-learn TensorFlow)
- Experience creating interactive dashboards with Tableau Power BI and others with strong communication and presentation skills to deliver actionable insights.
- Experience managing time-sensitive projects through to completion while balancing evolving priorities and a diverse range of stakeholders
Preferred Qualifications
- Knowledge of natural language processing (NLP) techniques
- Familiarity with customer support software (e.g. Salesforce)
- Certification in data science or related field (e.g. Certified Data Scientist)
- Familiarity with agile development methodologies and version control systems such as Git.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
