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Senior Analytics Engineer

2 months ago

West Midlands, United Kingdom TwentyAI Full time

Company Overview

TwentyAI is collaborating with a private equity-backed organization in the hospitality sector, seeking a talented Data Engineer to enhance their expanding Analytics team.

Role Overview

In this role, you will collaborate closely with Data Scientists and the Commercial division to comprehend their objectives and translate these into a comprehensive data strategy. Your expertise will be pivotal in generating actionable insights that provide a competitive edge in a crowded marketplace.

The organization is on a transformative data journey, requiring a versatile Data Engineer capable of managing both backend processes and deriving meaningful insights.

As part of the exciting rollout of a new loyalty application, you will play a crucial role in developing data pipelines that integrate information from the app with various other data sources, including transactional and external datasets.

With a commitment to innovation, the company is continually seeking ways to enhance its data team's offerings, providing you with opportunities to expand your skill set, particularly in Data Science.

Key Responsibilities

  • Data Ingestion and Transformation: Constructing data pipelines, evaluating data quality, and performing data cleansing. This includes identifying data sources and collaborating with external providers to connect the loyalty application ecosystem with point-of-sale data.
  • Business Problem Analysis: Understanding business challenges, developing models, and generating actionable insights for operational enhancements.
  • Customer Insights Development: Ingesting data from GA4 and creating clean datasets suitable for modeling and advanced analytics.
  • Collaboration: Working closely with team members, especially Data Scientists, to build robust models and present findings to senior stakeholders.

Technology Stack

  • Python
  • SQL
  • DBT
  • Snowflake
  • GA4

Qualifications & Characteristics

  • A Bachelor's degree or equivalent experience in a quantitative discipline (Statistics, Mathematics, Engineering, Computer Science, etc.).
  • A profound understanding of advanced data analytics and comprehensive engineering processes.
  • Exceptional interpersonal skills with the ability to plan, prioritize, and achieve results.
  • Familiarity with Big Data frameworks and data visualization tools.
  • A collaborative team player eager to learn and develop professionally.