Lead Business Intelligence Developer

GRIDSERVE
Bristol
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Lead Data Engineer

Legal Technologist - Artificial Intelligence & Machine Learning

Lead Data Engineer

Lead Data Engineer

Data Scientist

ROLE OVERVIEW

We have an exciting opportunity for a Lead BI Developer to be a critical part of GRIDSERVE’s future success by enabling insights through data.There are huge opportunities for the business to exploit data to derive insights, improve the performance of our charging infrastructure and delight our customers. Our Lead BI Developer and the BI development team will be at the forefront of enabling our future business success in a highly rewarding role for someone who wants to make a difference through insights and analytics.

MAIN RESPONSIBILITIES

Leadership

  • Lead, manage, and mentor the BI Team and support the wider BI community at GRIDSERVE.
  • Support the creation and implementation of the BI strategy and roadmap in alignment with business objectives.
  • Set performance goals, conduct regular reviews, and provide professional development opportunities for team members.
  • Oversee multiple BI projects, ensuring timely delivery and quality outcomes.
  • Stakeholder management

BI Development and Implementation

  • Define and enforce BI development standards, processes, and best practices.
  • Develop, test, and implement data, reporting, and analytic solutions in Azure.
  • Design, develop, and support mission-critical BI applications.
  • Create advanced SQL queries, Stored Procedures, and Power Pivot models.

Insight Generation

  • Analyse complex data sets and transform them into actionable insights.
  • Collaborate with business leaders to understand data needs and translate them into effective BI solutions.
  • Translate complex business logic into database design using Stored Procedures, User Defined Functions, Views, and T-SQL.
  • Develop and optimise DAX functions in Power BI.

Automation and Optimisation

  • Automate Power BI data refreshes using PowerShell scripts and Azure Automation.
  • Optimise table performance through index analysis and enhancements.
  • Cleanse data using Derived Columns, Lookups, and Conditional Split.

Best Practices

  • Stay updated on industry best practices and trends to improve processes and systems.
  • Adhere to all company policies, procedures, and business ethics codes, including the anti-bribery policy and Environmental and Quality Management System (compliant with ISO 9001 and 14001).


PERSON SPECIFICATION

We encourage candidates from diverse backgrounds to apply. If you meet some but not all of the criteria, we still want to hear from you. Your unique skills and experiences are valuable to us.

Required Skills and Experience

  • Ability to lead and support the rest of the BI team.
  • Excellent problem-solving skills, with the ability to analyse data, identify issues and opportunities, and design pragmatic solutions.
  • Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience with Data Modeling Techniques
  • Source control (e.g., Git) and CI/CD for BI environments to streamline deployments

Power BI Expertise

  • Minimum of 7-10 years in BI development
  • Extensive experience in Power BI report development e.g. Dashboard creation, data refresh automation, and managing gateways.
  • Understanding of security concepts in Power BI including RLS (Row Level Security).
  • Strong experience with DAX and creating complex Power BI models and measures.
  • Power Query scripting capability
  • Understanding of Power BI service tiers and constraints.

SQL and Database Skills

  • Proficiency as a SQL Developer, including advanced SQL queries involving multiple tables, query tuning, and optimization.
  • Experience with database design, interrogation, and programming, including Stored Procedures, Views, and User Defined Functions.

Azure and Data Services

  • Strong experience with Azure data services, including Azure Data Lake, and Synapse Analytics .
  • Deep understanding of Data Warehousing concepts and best practices.
  • Proven experience working with large data sets and optimizing data processing.
  • Ability to create and debug Azure Data Factory pipelines
  • Awareness of MS Dataverse and Power Platform



Desirable Qualifications and Certifications

  • Bachelor's degree in relevant field.
  • BI certifications e.g. Certified Business Intelligence Professional (CBIP) or Microsoft Azure Power BI certification.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.