Recherche actuelle

Lead Data Analyst / Data Product Lead - Managing Consultant

The Opportunity
You'll lead the delivery of analytical outcomes that enable organisations to realise their strategic vision. Acting as the bridge between business goals, data requirements, and technical implementation, you'll guide multidisciplinary teams and help clients modernise their data platforms, analytical capabilities, and decision‑making processes.
This role is ideal for someone who thrives in complex environments, enjoys solving ambiguous problems, and is passionate about modern cloud, big data, and analytics technologies.

What You'll Do
* Own and lead analytical delivery within broader data platform or transformation programmes.
* Guide teams of analysts, data engineers and analytics engineers to deliver end‑to‑end outcomes-from data workflows to analytical services and reporting assets.
* Define and uphold standards for requirements, documentation, code quality, version control, and release management.
* Partner with stakeholders across business and technology to prioritise work, manage expectations, and drive adoption.
* Run workshops to clarify requirements, map processes, and align teams on analytical definitions and success criteria.
* Shape and maintain analytical services, ensuring clear "definition of done" for outputs and user stories.
* Promote best practices in cloud, big data, analytics engineering, and AI‑accelerated frameworks.
* Contribute to proposals, shaping analytics workstreams, estimating effort, and defining delivery approaches.
* Support the creation of reusable assets such as analytics frameworks, reconciliation packs, and migration playbooks.
* Act as a role model for consulting behaviours: curiosity, clarity, pragmatism, integrity, and client empathy.

About You
You bring a blend of analytical depth, technical understanding, and strong consulting skills. You can see the bigger picture, navigate ambiguity, and lead teams to deliver high‑quality analytical products.
Experience & capabilities include:
* Significant experience leading analytical product delivery in complex, multi‑team environments.
* Proven track record delivering analytical and technical outcomes on modern cloud platforms (e.g., AWS, Azure, Snowflake, Databricks).
* Strong experience with data migration validation, reconciliation, data controls, and go‑live readiness.
* Ability to mentor analysts and collaborate effectively with engineers and architects.
* Strong stakeholder engagement skills across business and technical teams.
* Advanced SQL and Python skills.
* Solid understanding of data modelling (dimensional; Data Vault familiarity a plus).
* Strong BI and analytics experience (dashboarding, semantic modelling, storytelling).
* Familiarity with modern data warehousing, distributed processing, streaming, and DataOps.
* Comfortable leading iterative delivery using agile principles.

Qualifications & Tools
Experience with some of the following is beneficial:
* SQL/Python, Power BI, Tableau, Qlik, Dataiku, Alteryx
* AWS, Azure, GCP, Snowflake, Databricks certifications
* SAFe, Scrum Master or similar agile qualifications
* Modern data warehousing tools (Fabric, Lake Formation, Snowflake, Databricks)
* dbt or equivalent transformation tooling
* Airflow / ADF / Dagster
* Data governance, cataloguing, lineage tools
* Agile toolsets such as JIRA, Confluence, DevOps

Working Environment
* Permanent role with flexible working options.
* Hybrid model: typically 3 days per week in office (Newcastle).
* Some UK and international travel may be required.
* Eligibility for security clearance is essential.

What's in It for You
* Competitive salary with bonus potential.
* Highly collaborative culture with strong values and a people‑first mindset.
* Flexible benefits focused on wellbeing and lifestyle.
* 25 days' holiday, with the option to flex to 30.
* Two CSR volunteering days.
* Award‑winning learning and development, including dedicated training time.
* Personal tech budget for devices and accessories.
* Rapid progression opportunities in a high‑growth environment.

Please send me a copy of your CV if you're interested

Power BI Developer Opportunity - Hybrid Role in Newcastle - £35k

I'm looking for a Power BI Developer to design and deliver insightful dashboards and reports that drive decision-making across Sales, Finance, HR, and more. You'll own end-to-end Power BI solutions, collaborate with stakeholders, and help shape the future of our MI & Analytics platform. Recruiting for a global leader in trusted technology talent, connecting top tech professionals with companies that need them most and powering transformation across cloud, development, ERP, CRM, data, and AI. Established for over 20 years, continuing to grow with 1000+ employees across 20+ offices worldwide.

You'll work with:

* Developing and maintaining interactive Power BI dashboards and paginated reports
* Collaborating with stakeholders to define and prioritise reporting requirements
* Preparing and transforming data for business cases and initiatives
* Supporting data modelling and governance processes for future analytics platforms



Benefits:

* Hybrid working from Newcastle office (2 days a week)
* Performance-based career progression
* 25-30 days holiday + birthday & charity day
* 10 'Work From Anywhere' days after probation



Experience:

* Hands-on experience with Power BI, DAX, and Power Query
* Strong data modelling skills (Kimball-compliant preferred)
* SQL proficiency for data extraction and transformation
* Knowledge of Power BI Service, security roles, and deployment pipelines



Interested? Apply now!

Data Product Owner

Outside IR35

* Start Data ASAP
* Contract Length: 6 months
* Location: Newcastle Upon Tyne 1 day a week
* SC Clearance preferable. BPSS with view to getting cleared

The Data Product Owner is accountable for maximising the business value of one or more data products, treating data as a product with clear consumers, measurable value, and defined service levels.

They act as the primary bridge between business stakeholders and delivery teams, owning the product vision, backlog prioritisation, and ongoing performance of the data product across its lifecycle. Each data product has a clearly identified owner who is commercially and operationally responsible for its success .

Key Responsibilities

Product Vision & Strategy

* Define and communicate a clear product vision and roadmap for assigned data products, aligned to business outcomes and strategic priorities .
* Ensure each data product is valuable, usable, feasible, and viable for its intended consumers .
* Act as the accountable owner for the success (or failure) of the data product in delivering measurable business value .

Stakeholder Management

* Serve as the primary point of contact for business stakeholders, data consumers, and delivery teams .
* Translate business needs into clear, prioritised product requirements and outcomes.
* Balance competing stakeholder demands while maintaining focus on agreed product goals.

Backlog Ownership & Prioritisation

* Own and prioritise the product backlog, ensuring delivery teams are always working on the highest-value items .
* Define user stories and acceptance criteria with a strong focus on consumer value and usability.
* Make informed trade-offs between scope, quality, time, and cost.

Data Product Delivery Agreements & SLAs

* Define, own, and maintain Data Product Delivery Agreements, including SLAs covering quality, timeliness, availability, and reliability .
* Agree and track non-functional requirements such as refresh frequency, retention, and recovery expectations.
* Ensure consumers clearly understand intended use, limitations, and notice-of-change commitments.

Value Measurement & Performance Monitoring

* Define success metrics and value measures for each data product, including usage, engagement, and business impact .
* Monitor product performance and data quality, initiating corrective action where standards are not met.
* Regularly review product value and make evidence-based decisions on enhancement, maintenance, or retirement.

Data Quality, Ethics & Compliance

* Ensure data products meet agreed data quality thresholds and are trustworthy for decision-making .
* Embed regulatory, privacy, and ethical considerations into product design and operation .
* Act as a steward for responsible data use within the product domain.

Cross-Functional Leadership

* Work closely with engineers, analytics engineers, platform teams, and UX to deliver high-quality data products .
* Champion a "data as a product" mindset across business and technical teams.
* Contribute to the evolution of product management and data product practices across the organisation.

Required Experience & Skills

Essential

* Proven experience as a Product Owner, Product Manager, or similar role in a data, analytics, or platform environment.
* Strong understanding of data and analytics concepts (e.g. data products, data quality, analytics use cases).
* Experience owning and prioritising backlogs and working with cross-functional delivery teams.
* Excellent stakeholder management and communication skills.
* Ability to define and measure business value.

Desirable

* Experience working with data platforms, analytics products, or data mesh-style ownership models .
* Familiarity with defining SLAs, service promises, or delivery agreements for data products.
* Experience operating in regulated or ethically sensitive data environments.
* Exposure to Agile and product management frameworks.

Please send me a copy pf your CV if you're interested?

Principal AI & Data Architect - Remote - Up to £110,000

A leading Microsoft-focused technology consultancy is seeking a highly experienced Principal AI & Data Architect to drive the design, strategy, and delivery of advanced data and AI solutions across enterprise clients.

This is a senior, hands‑on position for someone who thrives on shaping modern data platforms, influencing C‑suite stakeholders, and guiding teams in the delivery of cutting-edge cloud and AI architectures.



About the Role:

* Lead the architecture and design of large-scale data and AI platforms across the Microsoft ecosystem.
* Define technical standards, best practices, and architectural governance.
* Drive pre-sales engagements, translate business needs into solution architectures, and support bid responses.
* Run workshops with technical and non-technical stakeholders, including C-level leaders.
* Provide technical leadership across delivery programmes and mentor internal teams.
* Collaborate on internal product development and reusable solution assets.

This role combines strategic leadership with hands-on architectural work, contributing directly to customer success and revenue growth.



Key Skills & Experience

* Azure Data & AI Services - Data Factory, Synapse, Azure SQL, Storage, Power BI, Fabric.
* AI & Machine Learning - generative AI, cognitive services, ML engineering, responsible AI.
* Modern Data Architecture - lakehouse, data mesh, ELT/ETL, MDM, dimensional modelling.
* Microsoft Business Applications - Dynamics 365, Power Platform.
* Delivery & Engineering - DevOps, Agile, CI/CD, governance.