Deloitte
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in London (Hybrid) with a contract until the end of the year, likely extending. Pay is daily, inside IR35. Key skills include advanced Google Sheets, Python, SQL, and regex expertise; experience with large datasets is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
City Of London, England, United Kingdom
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🧠 - Skills detailed
#Python #PySpark #Business Analysis #SQL (Structured Query Language) #Pandas #"ETL (Extract #Transform #Load)" #Regular Expressions #Data Cleaning #Scripting #Spark (Apache Spark) #Data Engineering #Data Analysis #Datasets #Data Processing #Automation #AI (Artificial Intelligence) #Pivot Tables #Data Manipulation
Role description
Role: Data Analyst
Location: London – Hybrid
Start Date: ASAP
End Date: End of the year (likely extensions)
Daily Rate: Inside IR35
Payroll provider – Rockford Payroll Info for Contingent Workers – Rockford Pay
This is an exciting opportunity to join Deloitte Operations for an engagement with one of our clients.
Role Overview
Responsible for the end-to-end management and manipulation of large datasets, transforming raw data into actionable insights. The role requires a combination of technical data engineering skills and analytical problem-solving abilities, using Python and complex regex patterns to clean, standardize, and transform the data.
Core Responsibilities:
Ingest, process, and manipulate large, often unstructured, datasets (100,000+ rows).
Clean, standardise, 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 optimisation initiatives.
Translate complex data processes and findings into clear, actionable insights and summaries for various stakeholders.
Required Skills & Experience:
Data Analysis & Engineering:
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).
Regular Expressions (REGEX): Proven ability to use complex regex patterns for data cleaning and transformation.
Automation & Scripting:
Understanding of Google Apps Script.
Ability to leverage AI tools to develop simple automation solutions (e.g., bulk extraction from Google Drive).
Data Handling: Experience working with large, unstructured datasets.
Business Analysis & Problem Solving:
Analytical Acumen: Strong analytical and problem-solving skills, with the ability to approach complex challenges creatively.
Role: Data Analyst
Location: London – Hybrid
Start Date: ASAP
End Date: End of the year (likely extensions)
Daily Rate: Inside IR35
Payroll provider – Rockford Payroll Info for Contingent Workers – Rockford Pay
This is an exciting opportunity to join Deloitte Operations for an engagement with one of our clients.
Role Overview
Responsible for the end-to-end management and manipulation of large datasets, transforming raw data into actionable insights. The role requires a combination of technical data engineering skills and analytical problem-solving abilities, using Python and complex regex patterns to clean, standardize, and transform the data.
Core Responsibilities:
Ingest, process, and manipulate large, often unstructured, datasets (100,000+ rows).
Clean, standardise, 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 optimisation initiatives.
Translate complex data processes and findings into clear, actionable insights and summaries for various stakeholders.
Required Skills & Experience:
Data Analysis & Engineering:
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).
Regular Expressions (REGEX): Proven ability to use complex regex patterns for data cleaning and transformation.
Automation & Scripting:
Understanding of Google Apps Script.
Ability to leverage AI tools to develop simple automation solutions (e.g., bulk extraction from Google Drive).
Data Handling: Experience working with large, unstructured datasets.
Business Analysis & Problem Solving:
Analytical Acumen: Strong analytical and problem-solving skills, with the ability to approach complex challenges creatively.
