Remote Data & Analytics Engineer

at The WFS Group

Posted 2 days ago 1 applied

Description:

  • WFS Group is a fast-paced sales agency that provides "done for you sales" services to clients, focusing on lead generation and sales.
  • The Data & Analytics Engineer will act as the architect, builder, and strategist of the sales data universe, ensuring the accuracy and actionability of all sales metrics.
  • Responsibilities include building and optimizing data infrastructure in BigQuery, fine-tuning ETL/ELT processes, and designing dashboards in Looker Studio.
  • The role is crucial for providing real-time data to sales leaders, enabling them to make informed decisions and close more deals.
  • The ideal candidate will thrive in a culture that values clean data, efficient workflows, and insightful analytics.

Requirements:

  • Candidates must be fluent in SQL and have a deep understanding of Python.
  • A passion for transforming messy data into reliable insights is essential.
  • Experience in building intuitive dashboards that enhance user experience is required.
  • The ability to create efficient workflows and pipelines is necessary.
  • Candidates should have a keen eye for spotting reporting anomalies and a strong commitment to accuracy and integrity.
  • Problem-solving skills to track down issues in source data are crucial.
  • A desire to eliminate manual reporting processes and make a significant impact on revenue is expected.
  • Candidates should be comfortable working independently while thriving in a collaborative environment.
  • A belief that sales data should be actionable is essential.

Benefits:

  • Employees will have the opportunity to innovate and execute their ideas with the support of a responsive leadership team.
  • The role is positioned as a core driver of the company's competitive edge, allowing for real-time impact on client success and sales team commissions.
  • Team members will work alongside motivated colleagues who prioritize excellence, speed, and results.
  • The position offers a full-time schedule with a pay range of $8-$9 per hour.
  • The work location is remote, with a schedule of Monday to Friday from 9 AM to 6 PM PST, requiring availability during US hours.