Data Analyst

2 weeks ago

Edinburgh, Edinburgh, United Kingdom Project Partners Ltd Full time

About Project Partners Ltd

Project Partners Ltd is a dynamic and innovative consultancy firm dedicated to enhancing project delivery through a comprehensive range of services. We specialize in providing tailored recruitment solutions, strategic project management, and expert consultancy services to meet the diverse needs of our clients across various industries.

Our mission is to empower organizations and individuals to achieve excellence in project delivery, ensuring successful outcomes and sustained growth.

Introduction

We are currently expanding the Project Partners team to support an exciting delivery for one of our clients. Our client, a leading player in the Financial Services sector, is seeking a talented Data Analyst to join their dynamic team. With a commitment to excellence and innovation, we are dedicated to providing unparalleled services to our customers.

Role Summary

As a Data Analyst, you will be responsible for overseeing the extraction of critical data sets, verifying their accuracy, and identifying any discrepancies. This role requires a keen eye for detail, strong analytical skills, and a robust understanding of data management principles. You will play a vital role in maintaining data integrity and supporting key business functions within the Financial Services domain.

Key Responsibilities

  • Automate Conversion of Excel Reports to CSV: Develop and implement a process to automatically convert regularly produced formatted Excel reports into CSV data extracts.
  • Data Dictionary and Control File Creation: Create data dictionaries that define the structure, contents, and meaning of the data in the CSV files. Develop control files to manage and document the conversion and validation process.
  • Validation of CSV Contents: Implement a validation step to verify that the contents of the CSV files match the original Excel workbooks. Collaborate with cross-functional teams to extract, analyze, and validate complex datasets.
  • Data Quality Assurance: Develop and implement data quality standards and procedures to ensure consistency and accuracy. Identify data anomalies, investigate root causes, and propose solutions to enhance data quality.

Essential Skills

  • Data Engineering: Strong experience with data extraction, transformation, and loading (ETL) processes. Proficiency in handling and manipulating large datasets.
  • Automation Scripting: Expertise in scripting languages such as Python, R, or similar for automation tasks. Familiarity with libraries and tools for working with Excel and CSV files (e.g., pandas in Python).
  • Validation and Quality Assurance: Experience with data validation techniques to ensure data integrity and accuracy. Ability to create automated validation scripts.
  • Data Documentation: Strong ability to document data structures, processes, and quality standards.

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