BI Developer

Woking
1 month ago
Applications closed

Related Jobs

View all jobs

BI/MI Manager

Senior DevOps Engineer

Data Manager

Data Analyst / Business Analyst – Risk Rating & Pricing

Data Engineer

Data Architect

Job Title: BI Developer

Salary: £40,000 - £50,000 DOE

Location: Woking (onsite)

We are seeking a talented and motivated BI Developer to join our expanding technology team at an exciting time of business growth and transformation. As part of our dynamic and fast-paced environment, you will be responsible for designing, developing, and maintaining reports and dashboards that provide valuable insights to stakeholders across the business.

Located just a two-minute walk away from the Woking town centre, they provide a challenging and rewarding careers. We achieve this by offering continuous learning and development, collaborative teamwork environment and exposure to a wide variety of work.

Imagine and shape your future where you can grow professionally, in a diverse and inclusive workplace that rewards your contribution at a leading Financial services company.

Key Responsibilities:

Develop, maintain, and optimise reports and dashboards using SSRS and Power BI to support business decision-making.
Extract, transform, and load (ETL) data from various sources using T-SQL, SSIS, and Azure Data Factory Pipelines.
Work with business stakeholders to gather reporting requirements and ensure the effective visualisation of data.
Manage and optimise Azure SQL databases to enhance performance and efficiency.
Ensure data accuracy, consistency, and reliability across all reports and dashboards.
Support the integration of various data sources and platforms to enable seamless data flow.
Collaborate with cross-functional teams to enhance business intelligence capabilities and align solutions with company objectives.
Maintain and improve data models to support evolving business requirements.
Troubleshoot and resolve any data or reporting issues, ensuring business continuity.
Leverage best practices in data governance, security, and compliance.
Provide support and training to end-users on BI tools and reporting functionalities.

Requirements:

Extensive experience in T-SQL and database management in Azure SQL environments.
Strong expertise in SSRS and Power BI for reporting and dashboard development. BI Developer Job Description 2025
Proficiency in SSIS and Azure Data Factory Pipelines for data integration and transformation.
Experience working with and processing XML data is advantageous.
Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
Excellent communication and stakeholder management skills, with the ability to gather and interpret business requirements.
A proactive approach to continuous improvement and innovation in data solutions.Qualifications:

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
Relevant certifications in Microsoft BI technologies (e.g., Microsoft Certified: Data Analyst Associate, Azure Data Engineer) are desirable.In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.