Senior Data Analyst

Senior Data Analyst - Contract

Location: Hybrid (mainly remote, occasional on‑site days-Nottingham)
Contract Length: 3 months (with potential extension)
IR35: Inside
Rate: £500-£550 per day
Hours: 40 hours per week

About the Role

We are seeking a Senior Data Analyst with strong analytics engineering capabilities to support a large‑scale data migration and transformation programme. This role sits at the intersection of data engineering, data analysis, and business insight delivery.

You will help build reliable, scalable datasets and data models that act as a single source of truth for downstream teams. The ideal candidate is highly analytical, technically strong, and comfortable working in a fast‑paced environment with shifting priorities.

This role involves the manual migration of legacy datasets into a new cloud‑based data lake environment, building data pipelines, and enabling high‑quality analysis and reporting for stakeholders.

Key Responsibilities

Data Engineering & Pipelines

Build and optimise data pipelines within a cloud-based environment (Databricks experience preferred, or equivalent).
Support the migration of legacy warehouse data into a new data lake.
Ensure accuracy, reliability, and consistency across all datasets via testing and validation.
Implement software engineering best practices including modular development, version control (Git), and CI/CD pipelines.

Data Analysis & Modelling

Translate complex business requirements into scalable data models.
Create structured, well‑documented datasets to support analytics and reporting.
Optimise and maintain SQL queries to ensure performance and readability.
Produce clear and compelling analytical insights through strong data storytelling.

Stakeholder Collaboration

Partner with business teams to understand challenges and identify data‑driven solutions.
Communicate technical concepts in simple, clear language to non‑technical audiences.
Work collaboratively within a multidisciplinary team.

Documentation & Governance

Create and maintain documentation on data models, logic, and pipelines.
Contribute to data discovery and identification of new data sources.

Required Skills & Experience

4+ years' experience as a Senior Data Analyst or Analytics Engineer.
Deep SQL expertise - capable of writing modular, optimised queries.
Strong Tableau skills - including experience building datasets for visualisation layers.
Proven experience building data pipelines in Databricks or a similar platform.
Experience working with cloud platforms and modern data architectures.
Ability to work in fast‑paced, ambiguous environments while managing multiple demands.
Strong problem‑solving skills and a high level of curiosity.
Ability to communicate effectively at all levels of the business.
Basic working knowledge of Python.

Nice to Have

Experience with contact centre analytics.
Exposure to machine learning / AI concepts.

Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants