National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Business Intelligence Consultant

Harbor
Belfast
1 week ago
Create job alert

Belfast, Northern Ireland, United Kingdom
Harbor

is seeking a

Senior Business Intelligence Consultant

to join our Business Intelligence and Microsoft Application services team in our Legal Technology + Operations practice. Our team is at the forefront of delivering quality service for our clients. We have extensive experience in both legal processes and technology across several platforms. This role focusses mainly on the integration of information using the range of Microsoft tools available in this area, e.g. Fabric, Azure, Power Platform and Logic Apps, the information we deal with primarily sits across practice management systems, document management systems and external data providers. We serve both as advisors and as experienced, hands-on resources, collaborating with our clients to contain risk and cost through operational improvement, efficient data management, and technology usage.
As a Senior Consultant, you will be expected to collaborate with senior and junior-level internal resources, as well as clients, to ensure correct prioritization and timely delivery of both a “business as usual” type model for our clients as well as some “continual improvement” tasks. This is a full-time employment position will be hybrid based in our office in Belfast.
Job Duties and Responsibilities:

Collaborate with clients to gather and analyze business requirements.
Design and develop data models, reports, and dashboards using Microsoft BI tools (Fabric Power BI, SSRS, SSAS, SSIS).
Implement data integration and ETL processes.
Provide training and support to clients on BI tools and solutions.
Ensure data quality and integrity in all BI solutions.
Communicating with internal and external stakeholders to manage the effective delivery of solutions
Assist clients and other team members with production issues in a timely fashion, these could be data or process related.
Experience, Education and Qualifications:

Degree in Finance, Business, Computer Science, Software Engineering, Information Science, Economics, Statistics, Accounting or Data & Analytics or equivalent experience gained
Understanding of the implementation process including requirement analysis, design, configuration/development, migration, testing, and change management.
Strong observational, analytical and numerical reasoning skills
Effective communication and storytelling skills (written and spoken).
Excels in a cooperative team environment.
Positive, enthusiastic attitude and entrepreneurial spirit with an eagerness to quickly learn and develop new skills.
Competent in the following areas: problem solving, customer-focus, communication, collaboration and punctuality.
Technical Skills:

Knowledge of Python (desirable).
Knowledge of Data Lakes & medallion architecture.
Experience of data engineering using Microsoft Fabric or Databricks
Experience of MS Azure Platform
Proficiency in the following technical areas: (Fabric Power BI, SSRS, SSAS, SSIS).
Advanced knowledge of SQL.
Advanced computer skills (primarily Excel, Word, PowerPoint, and Visio); familiarity with use of Outlook, Teams, and SharePoint as collaboration tools.
About Us:
Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 800+ strategists, technologists, and specialists navigate alongside our clients – leading law firms, corporations, and their law departments – to provide essential resources and invaluable insights. Anchored in a rich heritage of deep knowledge, steadfast relationships, and mutual respect, our unwavering dedication lies in shaping the future of the legal industry and fostering enduring partnerships within our community and ecosystem.
Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.
Create a Job Alert
Interested in building your career at Harbor? Get future opportunities sent straight to your email.
Apply for this job

*
indicates a required field
First Name *
Last Name *
Preferred First Name
Email *
Phone *
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Business Intelligence Developer

Senior Business Intelligence Developer

Senior Business Intelligence Developer

Senior Business Intelligence Developer

Senior Business Intelligence Developer...

▷ [3 Days Left] Senior Business Intelligence Developer...

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.