| New Position : Analytics Engineer || Contract W2/C2C at Remote, Remote, USA |
| Email: [email protected] |
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Job Title: Analytics Engineer Location: Remote/ USA Job Type: Contract Ideal Candidate Profile: Academic foundation in Information Systems, Data Science, Statistics, or Computer Science Proven experience in customer service analytics and optimization Customer-obsessed mindset (Amazon background a plus) Strong proficiency in Salesforce and data analytics tools Bonus: Data Engineer experience Location: Remote - preferred timezone PST As an Analytics Engineer, 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. Analytics Engineer Responsibilities Design, develop, integrate, launch and maintain collections of data pipelines, queries, reports and visualizations that support multiple use cases. Create interactive and dynamic data visualizations that communicate complex insights to stakeholders Optimize pipelines, dashboards and Data Architecture to facilitate the easier development of data artifacts Work closely with customer service and operations, product, and engineering teams to integrate data insights into business decisions and drive customer experience improvements Work with various data sources, including customer interactions, feedback, and behavioral data, integrate and build reports and visualizations to identify pain points and trends Develop and track key performance indicators to measure the effectiveness of customer experience initiatives Minimum Qualifications Master's degree in Software Engineering, Computer Science, Statistics, or related fields 5+ years of experience in data engineering, business intelligence, data analytics or related fields Proficiency in programming languages such as Python, R, or SQL Experience with building data pipelines and Extract, Transform, Load (ETL), preferably jobs using platforms like Apache airflow or AWS glue. Experience creating interactive dashboards with Tableau, Power BI, and others, with proven 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 Experience working with operations functions preferably in customer service or supply chain Preferred Qualifications Background and knowledge of CX, VoC space Familiarity with customer support software (e.g., Salesforce) Experience with digital analytics tools like google or adobe analytics. Familiarity with agile development methodologies and version control systems such as Git Experience working in the high-volume consumer electronics industry Experience working with operations functions, preferably in the customer experience or customer support operations space Minimum Years of Experience 5+ Must-Have Skills 1. Programming Skills: Python Proficiency in Python programming language is essential for this role, including experience with popular libraries like Pandas, NumPy, and Matplotlib. 2. 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. 3. 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. 4. 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 2. Digital Analytics Tools: Google or Adobe Analytics Familiarity with digital analytics tools like Google or Adobe Analytics can be an asset in this role, allowing for more effective analysis of customer behavior and preferences. 3. Agile Development Methodologies: Git and Version Control Knowledge of agile development methodologies and version control systems such as Git can be advantageous in collaborating with cross-functional teams and managing code repositories. 4. Customer Support Software: Salesforce Experience with customer support software like Salesforce can be beneficial in understanding the CX and VoC space, and leveraging data to inform business decisions that drive customer satisfaction and loyalty. Thanks & Regards, Pranshu Singh (Technical Recruiter) E:- [email protected] K&K Global Talent Solutions Inc. 7901 4th St N, St Petersburg, Florida 33702, US. | US | Canada | Germany | India *This email and any attachments are confidential and may be privileged. If you are not the intended recipient, please notify the sender and delete this email from your system . We will not save your details in any of our emails, Computers, Databases, Intranet portals, Cloud database etc. Your details will only be used for the purpose of recruitment for the job that we discussed. We will delete your details as soon as the recruitment process is finished. In case if you are not interested to receive emails, please revert to us by mentioning REMOVE in the subject line. -- Keywords: business intelligence rlang information technology New Position : Analytics Engineer || Contract W2/C2C [email protected] |
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| 08:09 PM 10-Mar-25 |