Deloitte - Recruitment
Data Analyst
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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.
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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.
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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.
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