Job Description

Analytics Engineer
Contractor
PCD330004

Job Description
Position: Analytics Engineer
Location: the organisation (hybrid 3 times per week)
Department: IT
Type: 3 months rolling contract
Outside IR35

The organisation is seeking an experienced Analytics Engineer to join its Data and Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making.

Requirements

At least 8 years' experience in data analytics, data the organisation, software the organisation, or a similar role
Expertise in developing best practices for data the organisation and analytics with a strong background in data modelling including indexing strategies.
Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in cloud data platform.
Developed public cloud platform cloud experience for data storage and processing, considerations made for alternate cloud providers such as public cloud platform and public cloud platform.
Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting
Solid understanding of relevant data governance, data quality, and data security best practices
Strong problem-solving skills, and the ability to think critically and analytically
Extensive experience in documentation and data dictionaries
Knowledge of big data the organisation and distributed computing frameworks such as Hadoop and Spark
Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders

Key Responsibilities

Design and build data products, with proficiency throughout the data lifecycle.
Develop robust data models through close collaboration with business users and the team.
Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks.
Accountable for data extraction, transforming JSON and XML, using extensive experience in metadata management.
Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning.
Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis.
Evaluate and recommend improvements in data processing service, influencing and supporting architects and engineers.
To work independently and to manage multiple data tasks in a fast-paced environment
Create and maintain dashboards, visualizations, and reports using business intelligence platform to enable data-driven decision-making
Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes.