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About Guha Infotech

Guha Infotech is a technology-focused company dedicated to providing intelligent data and IT solutions across various sectors. The company emphasizes the importance of reliable data-driven decisions and is expanding its analytics team to maximize data value both for clients and internal operations.

Role Overview

We are seeking a meticulous and inquisitive Data Analyst to join our team. The role entails managing the entire data lifecycle, including data acquisition, cleansing, analysis, and visualization, to produce meaningful insights that inform business strategies. You will write SQL queries, develop automated data workflows, and design engaging Power BI dashboards utilized by stakeholders. Collaborating with various departments to translate their questions into actionable analytical outputs is key.

Primary Responsibilities

Craft, optimize, and sustain SQL queries to retrieve and manipulate data from diverse sources.
Examine extensive datasets to uncover trends, insights, and potential opportunities.
Create, support, and refine interactive reports and dashboards in Power BI, employing DAX for calculations.
Deliver scheduled and ad hoc reports tailored to business needs.
Automate repetitive data-related tasks using Python, including data cleansing and analysis.
Contribute to the development and upkeep of data pipelines and ETL workflows.
Utilize Azure tools such as Azure Data Factory, Databricks, and Synapse for effective data storage and processing.
Maintain data accuracy, uniformity, and integrity in reporting outputs.
Identify and rectify discrepancies and quality issues in datasets.
Adhere to and enhance data governance policies and documentation standards.
Engage closely with stakeholders to gather requirements and ensure their data needs are met.
Communicate findings effectively to both technical and non-technical audiences.
Document analytical processes, data terminologies, and report logic for team reference.

Required Qualifications and Skills

Extensive hands-on experience writing complex SQL queries, including joins, aggregations, and preferably stored procedures and views.
Proficiency in Python for automating data workflows and detailed analysis, with libraries such as pandas and NumPy.
Ability to build Power BI dashboards and reports, including advanced data modelling and use of DAX formulas.
Advanced knowledge of Excel functions, pivot tables, lookups, and data modelling capabilities.
Familiarity with Azure data services and cloud infrastructure relevant to data management.
Strong analytical mindset with excellent attention to detail.
Effective communication skills to present complex data clearly.
Organized approach with capability to manage multiple priorities concurrently.

Desired Additional Skills

Relevant Microsoft certifications such as PL-300, DP-203, or DP-700.
Understanding of data warehouse architecture and ETL/ELT pipeline methodologies.
Experience with version control tools like Git and Agile development practices.
Academic background in Computer Science, Data Science, Mathematics, Statistics, or related numerical fields, or equivalent hands-on experience.

Technical Tools

SQL, Python, pandas, NumPy, Power BI, DAX, Advanced Excel, Azure Data Factory, Databricks, Synapse, ETL/ELT, Git

Compensation and Benefits

Competitive annual salary ranging from £33,000 to £43,000, commensurate with experience.
Support for continuous education, certifications, and professional growth.
Defined paths for career advancement within a growing analytics team.
Inclusive and cooperative workplace culture.
Participation in pension scheme.
Flexible and hybrid working options.
Entitlement to annual leave.

Candidate Profile

The ideal candidate enjoys working with data and finds satisfaction in transforming chaotic information into insightful reports. Comfortable working autonomously and collaboratively, they ask insightful questions, prioritize accuracy, and are eager to learn. Whether experienced or progressing their analytical career, applications from motivated individuals are welcome.

Additional Information

Position is full-time and permanent with hybrid working arrangements based in the UK. The closing date for applications is 5th August 2026 at 11:55 pm.

Data Analyst

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