Keyrus is a global consulting and technology company focused on architecting intelligence, helping organisations transform data, digital capabilities, and AI into sustainable business value.
Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.
Data is never the goal in itself.
We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.
At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.
#OneTeamOneKeyrus
As a Senior Power BI Consultant, you will operate at the intersection of data, analytics, technology, and business strategy, helping clients transform complex data ecosystems into scalable, governed, and high-impact analytics solutions.
This is not a traditional dashboard development role. We are looking for a technically exceptional, client-ready consultant who combines deep hands-on Power BI expertise with advisory capabilities across governance, architecture, self-service enablement, and Microsoft Fabric adoption.
You will engage directly with senior stakeholders, lead the design and delivery of enterprise-scale Power BI solutions, and contribute to the growth of Keyrus UK's Data & Analytics practice.
Job location: London, UK (Hybrid, 3 days on-site)
Contract type: Permanent
Target start date: July 2026
Working hours: Full-time (40h/week)
Compensation: £58,000 – £87,000 gross/year
In this role, you will:
Design and deliver end-to-end enterprise Power BI solutions across modelling, transformation, visualisation, governance, and deployment
Architect and build complex semantic models using star and snowflake schema principles
Develop advanced DAX solutions leveraging evaluation context, iterators, calculation groups, and time intelligence patterns
Design composite models, aggregations, and incremental refresh strategies for large-scale datasets
Build robust Power Query/M transformations, including custom functions and query folding optimisation
Optimise Power BI performance using tools such as DAX Studio and VertiPaq Analyser
Deliver paginated reports for operational and regulatory reporting requirements where needed
Provide guidance on Power BI, Microsoft Fabric, the semantic layer, and analytics architecture decisions
Design and implement secure Power BI environments, including Row-Level Security (RLS) and Object-Level Security (OLS)
Define and promote Power BI governance frameworks, development standards, and best practices
Support tenant administration, workspace architecture, deployment pipelines, and CI/CD implementation
Advise clients on Microsoft Fabric adoption strategies, migration roadmaps, and platform scaling
Design self-service BI operating models and data democratisation strategies
Establish governance frameworks covering data lineage, endorsement, sensitivity labels, audit logging, and access control
Build certified dataset strategies and reusable analytics assets
Contribute to Power BI Centre of Excellence initiatives and community enablement programs
Act as a trusted advisor to senior client stakeholders, including Heads of Analytics, CDOs, CTOs, and business leaders
Facilitate workshops, discovery sessions, architecture reviews, and executive briefings
Translate complex technical concepts into business value and actionable recommendations
Support analytics maturity assessments, roadmap creation, and BI strategy definition
Contribute to proposals, solution scoping, effort estimation, and practice development activities
Deliver training, workshops, and knowledge transfer sessions for technical and business audiences
Mentor junior consultants and contribute to internal communities of practice
Support the continuous evolution of Keyrus methodologies, frameworks, and reusable assets
You will work in complex, evolving client environments
You are expected to balance delivery quality with pragmatism
You will collaborate with diverse profiles across functions and cultures
Autonomy increases with seniority — so does responsibility
You will operate at both the architectural and stakeholder strategy levels
5+ years of experience in Business Intelligence, Data Analytics, or related fields, with strong Power BI delivery experience
Deep expertise in Power BI, including DAX, Power Query (M), semantic modelling, and advanced visualisations
Strong experience designing and building enterprise-scale data models using star and snowflake schema principles
Experience with composite models, aggregations, and incremental refresh strategies
Solid understanding of SQL, relational databases, and data warehousing concepts
Experience with ETL/ELT processes and integrating Power BI with Azure data services (ADF, Synapse, ADLS, Azure SQL)
Strong knowledge of Power BI governance, security, and access control frameworks, including Row-Level Security (RLS) and Object-Level Security (OLS)
Experience implementing Power BI deployment pipelines, ALM, and CI/CD practices
Ability to optimise Power BI performance using tools such as DAX Studio and VertiPaq Analyzer
Experience supporting self-service BI initiatives, governance frameworks, and Centre of Excellence practices
Proven experience working directly with senior business and technology stakeholders
Strong workshop facilitation, communication, and stakeholder management skills
Ability to translate business requirements into scalable technical solutions and articulate technical concepts to non-technical audiences
Experience creating client-facing deliverables such as assessments, roadmaps, strategies, and recommendations
Commercial awareness and consulting mindset
Bachelor’s degree in Computer Science, Data, or related field
Fluency in English
Experience in consulting environments
Financial Services (FSI) industry experience
Knowledge of Alteryx, Tableau, or Qlik as part of a broader analytics stack
Microsoft certifications such as PL-300, AZ-900, DP-900, or DP-600
Experience contributing to a Power BI Centre of Excellence
At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.
Bottom of the range
You meet the core requirements and will need ramp-up time and support.
Middle of the range
You are fully autonomous from Day 1 and deliver consistently.
Top of the range
You are a reference for the role, mentor others, and raise the bar for the team.
Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.
Competitive holiday allowance
Private Medical & Dental Insurance (Bupa)
Group Life Insurance
Gym & fitness discounts via Pluxee (Sodexo)
On-site gym access at our London office
Access to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)
Auto-enrolment pension scheme with Aegon.
Training & Development via KLX (Keyrus Learning Experience)
Strong focus on career development and internal mobility.
Electric & hybrid car scheme via Tusker
Annual discretionary bonus, based on individual and company performance
Referral bonus for introducing new colleagues.
Joining Keyrus means joining:
A market leader in Data Intelligence
A company where people, trust, and diversity are core values
An environment that values ownership, flexibility, and innovation
A place where different backgrounds and perspectives are not just welcomed = they are essential
We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.
At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make hiring decisions or evaluate candidates.
To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.
Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.
️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.
We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.
