Data Analyst

Deloitte

Data Analyst at Deloitte responsible for managing and manipulating large datasets. Utilizing Python and Google Sheets to transform data into actionable insights.

Posted 7/21/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing and manipulating large, unstructured datasets, utilizing advanced Google Sheets functions, Python, and SQL for data transformation and analysis. Capable of translating complex data processes into actionable insights while optimizing workflows and automation solutions.

Highest-signal resume keywords

Advanced Google Sheets ExpertiseRegular Expressions (REGEX) ExperiencePython with Pandas ProficiencySQL Joins UnderstandingPySpark for Data Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManipulationData TransformationWorkflow AutomationData CleaningData StandardizationMapping Logic DesignString ManipulationNull Handling FunctionsAI Tools for AutomationComplex Problem-Solving

Soft Skills

Analytical SkillsCreative Problem-Solving

Tools & Technologies

Google SheetsPandasPySparkSQLGoogle Apps Script

Industry Keywords

Large DatasetsUnstructured DataData InsightsData ProcessingData Workflow Optimization

Tech Stack

Tools & technologies

PandasPySparkPythonSQL

About the role

Key responsibilities & impact

Ingest, process, and manipulate large, often unstructured, datasets (100,000+ rows)
Clean, standardize, and transform data using advanced scripting and regular expressions
Design and implement intelligent mapping logic to match and reconcile records across disparate datasets
Contribute to data transformation, workflow automation, and process optimization initiatives
Translate complex data processes and findings into clear, actionable insights and summaries for various stakeholders

Requirements

What you’ll need

Responsible for the end-to-end management and manipulation of large datasets
Advanced Google Sheets Expertise: Proficiency in Pivot Tables
Extensive experience with Regular Expressions (REGEX functions)
Mastery of ARRAYFORMULA and other advanced Google Sheets formulas
Intermediate Python Knowledge: Hands-on experience with Pandas for data manipulation
Experience with PySpark for large-scale data processing
Intermediate SQL Proficiency: Strong understanding and application of SQL Joins
Expertise in string manipulation and null handling functions (e.g., CONCAT, COALESCE)
Understanding of Google Apps Script
Ability to leverage AI tools to develop simple automation solutions (e.g., bulk extraction from Google Drive)
Experience working with large, unstructured datasets
Strong analytical and problem-solving skills, with the ability to approach complex challenges creatively

Benefits

Comp & perks

Daily Rate: Inside IR35
Payroll provider – Rockford