Analytics Engineer

3 days ago

Quezon City, National Capital Region, Philippines HelloConnect, Inc. Full time $80,000 - $100,000 per year

About Us

HelloConnect

HelloConnect is a subsidiary of HelloFresh, founded to address years of challenges faced in its own customer care. Leveraging our extensive experience in developing customer care tailored to the immediate needs of HelloFresh, our solutions are hyper-focused on serving high-growth companies. Located in Manila, Philippines, we are now making this service available to other companies to benefit from our experience, scale, cost savings, and service level improvements.

HelloFresh

HelloFresh is a global leader in delivering delicious meal kits and grocery boxes straight to customers' doorsteps. We are dedicated to providing high-quality, convenient, and sustainable meal solutions that inspire people to cook and eat healthy at home. Our commitment to innovation and customer satisfaction drives our ongoing success.

Job Overview

The Analytics Engineer will help our organization build and maintain high-quality data models that will power customer-centric analytics, segmentation and personalization. You will partner with the Global-CX (GCX) data science and BI team, including BI analysts at HelloConnect, to transform raw data into reliable, well-documented, and reusable data assets that enable stakeholders to make better decisions and improve the customer experience.

Key Responsibilities:

  • Model and transform customer data to create clean, scalable datasets that support analytics, reporting, and machine learning use cases.

  • Assist in maintaining data pipelines that feed customer chatbots, predictive models, BI tools, and internal dashboards.

  • Partner with data engineers, BI analysts, and data scientists across the company to ensure reliable and timely delivery of customer data.

  • Provide timely resolution of bugs or data problems affecting the operation of the GCX data environment.

  • Contribute to the development and enforcement of data modeling standards and naming conventions.

  • Ensure data accuracy and integrity by implementing basic data validation and quality checks.

  • Create and maintain comprehensive, up-to-date documentation on the teams data products.

  • Take ownership of several data products, ensuring they remain accurate, up-to-date, and relevant.

Skills and Preferred Qualifications:

  • Bachelors degree in Computer Science, Engineering, IT or a related quantitative field.

  • Minimum 3 years of experience in analytics engineering, data analysis, data modeling or similar in a professional role.

  • Strong hands-on programming experience required in SQL.

  • Advanced knowledge of Python, automation and data integration required.

  • Used one or more modern cloud-based data warehouses e.g. Snowflake, BigQuery, Redshift.

  • Strong attention to detail and a passion for clean, reliable, and documented data.

  • A collaborative mindset and eagerness to learn from senior team members.

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