Data Analyst

Data Analyst

Posted 5 days ago by 1757659853

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Negotiable
Inside
Hybrid
Maidenhead, Berkshire
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Amazon Web Services (AWS) Business Intelligence Tools Business Requirements Cloud Computing Cloud Technology Data Governance Data Literacy Data Pipeline Data Processing Data Structures Data Validation Data Warehousing Extract Transform Load (ETL) Generic Programming Git (Version Control System) Google Cloud Platform (GCP) Key Performance Indicators (KPIs) Machine Learning Microsoft Azure Power BI Predictive Analytics Pyspark Python (Programming Language) Requirements Elicitation Software Development Stakeholder Management Tableau (Business Intelligence Software) Verification And Validation Version Control Workflows

Summary: The Data Analyst role involves designing, specifying, and validating scalable data products to enhance business decision-making. The position requires collaboration with Data Engineers and Business Analysts to create effective data solutions. The analyst will also promote data literacy and ensure data governance and quality across the organization. This is a hybrid position based in Maidenhead, with an initial contract length of six months and potential for extension.

Key Responsibilities:

  • Translate business needs into scalable data solutions through detailed requirements gathering.
  • Develop feasibility prototypes and validate data flows before systemisation.
  • Collaborate with stakeholders to prioritise high-impact innovations.
  • Understand and optimise data structures for use in pipelines, technologies, and business cases.
  • Apply knowledge of machine learning, predictive analytics, and advanced visualisation.
  • Design KPIs and model decision logic for enterprise data processing.
  • Lead data validation and health checks to ensure integrity and reliability.
  • Manage data queries and incidents with a stewardship mindset.
  • Champion documentation and governance best practices.
  • Promote data literacy across the business and encourage better business questioning.
  • Use deep understanding of data workflows to guide scoping conversations.

Key Skills:

  • Hands-on experience in data processing, data solutions, and data technologies.
  • Experience translating business requirements into technical specifications.
  • Comfortable working within complex and demanding Data & Analytics environments.
  • Proficiency in Python, PySpark, or other relevant programming languages.
  • Understanding of data modelling, ETL processes, and data pipeline design.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing tools.
  • Exposure to BI tools such as Power BI, Tableau, or Qlik.
  • Knowledge of version control systems (e.g., Git) and collaborative development workflows.
  • Experience or knowledge of Foundry (Palantir) is highly desirable but not essential.
  • Attention to detail and genuine curiosity at anomalies.

Salary (Rate): undetermined

City: Maidenhead

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Analyst
Contract Length: 6 Months Initially (Extension Possible)
Location: Hybrid Working (3 Days a Week Onsite - Maidenhead)
IR35 Status: Inside IR35 Umbrella / PAYE

Are you a data-driven problem solver with a passion for turning complex information into actionable insights? We're looking for a Data Analyst to join our clients dynamic team and help shape the future of data innovation across our commercial enterprise.

About the Role
As a Data Analyst, you'll play a pivotal role in designing, specifying, and validating scalable data products that drive critical business thinking.
You'll work closely with Data Engineers and Business Analysts to deliver robust, repeatable solutions that support predictive and prescriptive analytics.

Key Responsibilities
Data Specification & Design
Translate business needs into scalable data solutions through detailed requirements gathering.
Develop feasibility prototypes and validate data flows before systemisation.
Collaborate with stakeholders to prioritise high-impact innovations.

Data Structures
Understand and optimise data structures for use in pipelines, technologies, and business cases.
Apply knowledge of machine learning, predictive analytics, and advanced visualisation.
Design KPIs and model decision logic for enterprise data processing.

Data Governance & Quality
Lead data validation and health checks to ensure integrity and reliability.
Manage data queries and incidents with a stewardship mindset.
Champion documentation and governance best practices.

Data Literacy
Promote data literacy across the business and encourage better business questioning.
Use deep understanding of data workflows to guide scoping conversations.

Technical Skills & Experience

  • Hands-on experience in data processing, data solutions, and data technologies.
  • Experience translating business requirements into technical specifications.
  • Comfortable working within complex and demanding Data & Analytics) environments.
  • Proficiency in Python, PySpark, or other relevant programming languages.
  • Understanding of data modelling, ETL processes, and data pipeline design.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing tools.
  • Exposure to BI tools such as Power BI, Tableau, or Qlik.
  • Knowledge of version control systems (e.g., Git) and collaborative development workflows.
  • Experience or knowledge of Foundry (Palantir) is highly desirable but not essential.
  • Attention to detail and genuine curiosity at anomalies.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

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