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# Big Data Analyst

- **Company:** Information Tech Consultants
- **Location:** Greater London, UK
- **Experience:** Experienced
- **Salary:** £35,000.0 - £45,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Distributed Computing Environment, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, MongoDB, NoSQL, NumPy, Power BI, SQL Databases, Tableau (Software), Data Processing, Google Cloud, Apache Spark, Pandas, Information Technology, Cassandra, Data Analytics, Apache Kafka, Data Pipelines
- **Published:** July 9, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=911ab7b50a9efb97

## About the Role

* 3-5 years of professional experience as a Big Data Analyst, Data Analyst, or similar role.
 * Strong hands-on experience with Python and SQL (mandatory).
 * Experience working with large-scale datasets and distributed data processing.
 * Strong understanding of ETL processes and data warehousing concepts.
 * Proficiency with Python libraries such as Pandas and NumPy.
 * Excellent analytical and problem-solving skills.

Preferred Skills

 * Experience with cloud platforms such as AWS, Azure, or Google Cloud.
 * Experience with Big Data technologies such as Hadoop, Spark, Hive, or Kafka.
 * Familiarity with NoSQL databases such as MongoDB or Cassandra.
 * Knowledge of data visualization tools such as Power BI or Tableau.
 * Exposure to machine learning concepts and libraries is an advantage., * Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field.
 * 3-5 years of relevant professional experience in Big Data Analytics or Information Technology.
 * Excellent communication and collaboration skills.
 * Must be willing to travel within the UK based on client and project requirements.

## Description

* Analyze and process large-scale structured and unstructured datasets.
 * Write, optimize, and maintain complex SQL queries for data extraction and reporting.
 * Develop data pipelines and support ETL processes.
 * Perform data analysis to identify trends, patterns, and business insights.
 * Work with Python to automate data processing and analysis.
 * Collaborate with engineering and business teams to deliver data-driven solutions.
 * Ensure data quality, integrity, and performance across Big Data environments.


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