Guha Infotech Ltd
Data Analyst
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💰 Salary: £33,000 – £43,000 per year (depending on experience)
📍 Location: UK / Hybrid / Remote
🕒 Job type: Full-time, Permanent
👤 Reporting to: Data & Analytics Manager
⏳ Closing date: 5th August 2026, 11:55pm
About Guha Infotech
Guha Infotech is a technology-driven company delivering smart data and IT solutions to clients across a range of industries. We believe good decisions start with good data, and we're building a team of talented people who share that belief. As we continue to grow, we're investing in our analytics capability to help our clients and our own business unlock the full value of their data.
About the role
We're looking for a skilled, curious, and detail-oriented Data Analyst to join our team. In this role, you'll be responsible for collecting, cleaning, analysing, and visualising data to produce insights that drive real business decisions.
You'll work across the full data lifecycle — from writing SQL queries and building automated pipelines, through to designing polished Power BI dashboards that stakeholders actually use. You'll partner with teams across the business to understand their questions, translate them into analytical problems, and deliver clear, reliable answers.
This is an ideal opportunity for someone who enjoys working with modern data and cloud tools, takes pride in accuracy, and wants to keep growing their technical skills in a supportive environment.
Key responsibilities
Data analysis and reporting
- Write, optimise, and maintain SQL queries to extract and transform data from multiple sources
- Analyse large datasets to identify trends, patterns, and opportunities
- Build, maintain, and enhance interactive dashboards and reports in Power BI, using DAX for calculated measures
- Produce regular and ad-hoc reports for stakeholders across the business
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Automation and data processing
- Use Python to automate repetitive data tasks, clean datasets, and carry out deeper analysis
- Support the design and maintenance of data pipelines and ETL processes
- Work with Azure technologies (such as Azure Data Factory, Databricks, or Synapse) to help store, process, and manage data efficiently
Data quality and governance
- Ensure data accuracy, consistency, and integrity across all reporting
- Investigate and resolve data discrepancies and quality issues
- Follow and help improve data governance and documentation standards
Collaboration and communication
- Work closely with stakeholders to gather requirements and understand business needs
- Present findings and recommendations clearly to both technical and non-technical audiences
- Document processes, data definitions, and reporting logic for the wider team
Essential skills and experience
- Strong, hands-on experience writing SQL (complex queries, joins, aggregations, and ideally stored procedures and views)
- Proficiency in Python for data cleaning, analysis, and automation (e.g. pandas, NumPy)
- Demonstrable experience building reports and dashboards in Power BI, including data modelling and DAX
- Advanced Excel skills — formulas, pivot tables, lookups, and data modelling
- Working knowledge of Azure data technologies and cloud-based data workflows
- Strong analytical and problem-solving skills, with excellent attention to detail
- Ability to communicate complex data clearly and confidently
- Good organisational skills and the ability to manage multiple priorities
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Desirable skills
- Relevant Microsoft certifications (e.g. PL-300 Power BI Data Analyst, DP-203 Azure Data Engineer, DP-700 Fabric Analytics Engineer)
- Experience with data warehousing concepts and ETL/ELT pipelines
- Familiarity with version control (e.g. Git) and Agile ways of working
- A degree in Computer Science, Data Science, Mathematics, Statistics, or a related numerate field (or equivalent practical experience)
Technologies you'll work with
SQL Python pandas NumPy Power BI DAX Advanced Excel Azure Data Factory Databricks Synapse ETL / ELT Git
What we offer
- Competitive salary of £33,000 – £43,000, depending on experience
- Ongoing training, certifications, and professional development support
- Clear opportunities for career progression as the team grows
- A friendly, collaborative, and inclusive working culture
- Pension scheme
- Hybrid / flexible working arrangements
- Annual leave allowance
Who we're looking for
You're someone who genuinely enjoys working with data and gets satisfaction from turning messy information into clear insight. You're comfortable working independently but also thrive as part of a team. You ask good questions, care about getting the details right, and are always looking to learn something new.
Whether you're an experienced analyst or someone with a strong foundation looking to take the next step, we'd love to hear from you.
⏳ Closing date: 5th August 2026, 11:55pm.
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