9 days ago

Data Analyst

NTT DATA Europe & Latam

On Site
Full Time
$85,000
Greater Reus Metropolitan Area
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Job Overview

Job TitleData Analyst
Job TypeFull Time
Offered Salary$85,000
LocationGreater Reus Metropolitan Area

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Job Description

About NTT DATA Europe & Latam

We are seeking a talented Data Analyst to support strategic data-driven initiatives for our client, one of the UK’s leading energy companies. In this role, you will transform complex operational and customer data into clear insights that enhance decision-making across the business. Your work will contribute directly to improving grid reliability, optimizing energy distribution, and strengthening sustainability efforts in a highly dynamic, regulated environment.

What You'll Be Doing

  • Partner with client stakeholders to understand business challenges and identify opportunities where data analysis can deliver measurable value
  • Gather, analyse, and document business and data requirements across multiple client engagements
  • Extract, clean, and transform structured and unstructured data from a variety of client systems and data sources
  • Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and actionable insights
  • Design, develop, and maintain dashboards and reports to support client decision-making
  • Translate complex data findings into clear, concise insights and recommendations tailored to both technical and non-technical audiences
  • Collaborate with data engineers, architects, and other consultants to deliver end-to-end data solutions
  • Support the development of reusable analytics assets, accelerators, and best practices within the organisation
  • Ensure data quality, governance, and consistency standards are upheld across client deliverables
  • Contribute to client workshops, presentations, and stakeholder communications as part of project delivery

What You'll Bring Along

  • Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related discipline
  • Minimum of 5 years’ experience in a data analyst or similar role, ideally within a consulting or client-facing environment
  • Strong proficiency in SQL and experience working with complex, large-scale datasets
  • Experience with Python or R for data analysis (e.g., pandas, NumPy)
  • Proven experience developing dashboards using tools such as Power BI or Tableau
  • Solid understanding of data modelling, data structures, and analytical techniques
  • Ability to gather requirements and translate business needs into technical solutions
  • Strong communication skills, with the ability to present insights to diverse stakeholder groups
  • Experience working in agile or project-based delivery environments
  • Strong analytical and problem-solving mindset
  • Excellent data storytelling and visualisation skills
  • Client-focused approach with strong stakeholder management capabilities
  • Ability to work independently and as part of cross-functional delivery teams

Preferred Skills and Qualifications

  • Experience with cloud platforms, particularly Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake)
  • Exposure to Microsoft Fabric for integrated data and analytics solutions
  • Familiarity with ETL/ELT processes and data pipeline design
  • Experience with big data technologies such as Spark or Databricks
  • Understanding of data governance, security, and compliance considerations in enterprise environments
  • Experience working across energies and utilities ideally

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • R
  • Power BI
  • Tableau
  • Data Modelling
  • Data Visualisation
  • Stakeholder Management
  • Problem-Solving

Tags:

Data Analyst
SQL
Python
R
Power BI
Tableau
Data Modelling
Data Visualisation
Business Intelligence
Energy Sector
Consulting
Data Science
Analytics
ETL
Cloud
Azure

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How to Get Hired at NTT DATA Europe & Latam

  • Tailor your resume: Highlight 5+ years of data analysis experience, SQL proficiency, and visualization tool skills (Power BI/Tableau). Emphasize client-facing and consulting experience.
  • Showcase technical skills: Detail your experience with Python/R (pandas, NumPy) and data modelling. Mention any cloud platform (Azure) or big data technology experience (Spark, Databricks).
  • Demonstrate problem-solving: Provide examples of how you've translated business needs into technical solutions and identified actionable insights from complex data.
  • Prepare for interviews: Be ready to discuss your approach to data storytelling, stakeholder management, and collaborative project delivery in agile environments.
  • Highlight domain knowledge: If you have experience in the energy/utilities sector, make sure to clearly articulate it.

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