1 to 25 of 34 Semantic Layer Jobs

enablement. You'll transform raw data into well-structured, trusted datasets that support decision-making across the business - while also helping shape a semantic layer designed for future AI and LLM-powered use cases. You'll be joining at a pivotal moment: the platform is in place, proof … concepts are underway, and the team needs someone who can own modelling, testing and semantic design from day one. What You'll Be Doing Designing and building clean, scalable data models for analytics, reporting, and self-serve Writing highly efficient SQL to transform raw data into business-ready datasets ...

With a brand-new Head of Commercial Insights in place, the business is rebuilding its entire data stack - from pipelines to dashboards to the semantic layer - and this hire will play a critical role in shaping how analytics operates moving forward. If you enjoy … centre of decision-making across product, commercial, and operations. What you'll be doing Core analytics + modelling Build data models (SQL, star schemas, semantic-layer-ready tables). Work with GCP + dbt pipelines (with support from a dedicated data engineer). Turn messy spreadsheets into clean ...

Authority, Reinsurance (including Ceded Reinsurance) and be proficient in selecting and applying the right modelling techniques (Canonical, Data Vault, Dimensional) across Silver, Gold, and Semantic layers . Key Responsibilities Data Modelling & Architecture Design and maintain enterprise-wide data models across Insurance domains including: Policy lifecycle (pre-bind, post-bind … . Cloud & Medallion Architecture Model data for modern cloud data platforms (e.g. Azure, Databricks, Snowflake). Design data structures aligned to Medallion Architecture : Silver layer : conformed, standardised, integration-ready models Gold layer : analytics-optimised, business-ready models Semantic layer : business-friendly abstractions for BI and self ...

systems) to create a unified, well-modelled, and accessible data layer. Your responsibilities will include: Integrating and modelling operational data into a cohesive analytics layer Building and maintaining robust data pipelines Developing standardised data models using SQL and dbt (analytics engineering best practices) Designing and maintaining transformations aligned … semantic/reporting layer Identifying and resolving data quality issues, including duplicates and inconsistencies Creating clean, reliable datasets to support downstream reporting and analytics Building and supporting dashboards and reporting in Lightdash Supporting and enhancing the use of Lightdash across the business Collaborating with Ops, Data, Product ...

data models. Experience with enterprise systems such as SAP BW/HANA. A track record of building reusable datasets or maintaining a metrics/semantic layer. Basic Python for automation or analytics engineering tooling. Experience collaborating in cross-functional analytics or data product teams. Why Join Us Help shape ...

agnostic best practices. Create and maintain data mapping artifacts to support analytics, integration, and migration initiatives. Establish modeling patterns suitable for lakehouse, medallion, and semantic-layer architectures. Ensure alignment between physical analytical models and enterprise semantic definitions. 2. BusinessTechnical Translation Act as the primary interface between business ...

requirements into robust, maintainable, and reusable data products Partner with stakeholders and Analytics Business Partners to deliver impactful data solutions Build and evolve a semantic layer (e.g. Looker/LookML) to enable self-serve analytics Ensure data quality through automated testing, validation, and monitoring, proactively identifying, investigating ...

Hybrid working: typically 1–2 days in the London office (flexible)The Analytics Engineer sits between Data Engineering and the business, owning the transformation layer and turning raw data into trusted, scalable insights.This is an exciting time to join this fast paced & growing Insurance company.You’ll take ownership … analytics/BI layer and help build a “single source of truth” for the organisation and external partners. What you’ll do Build and maintain robust data models and curated datasets in the warehouse Own metric logic across the semantic layer (consistent definitions, reliable reporting) Partner with ...

Hybrid working: typically 1–2 days in the London office (flexible) The Analytics Engineer sits between Data Engineering and the business, owning the transformation layer and turning raw data into trusted, scalable insights. This is an exciting time to join this fast paced & growing Insurance company. You’ll take … ownership of the analytics/BI layer and help build a “single source of truth” for the organisation and external partners. What you’ll do Build and maintain robust data models and curated datasets in the warehouse Own metric logic across the semantic layer (consistent definitions, reliable ...

development with strong business engagement. What you'll be doing Power BI & reporting delivery Build, enhance and maintain Power BI dashboards, reports and semantic models Apply best practice across layout, accessibility, UX and data storytelling Develop robust DAX measures and business-aligned KPIs Data modelling & semantic layer ...

Python. • Hands-on experience working with Databricks, or a strong desire to deepen expertise in it. • Expert understanding of data modelling principles and semantic layer concepts. • Experience working with Azure Data Factory or similar orchestration tools. • Ability to translate business needs into logical, scalable data models. • Comfortable working … across multiple data sources and handling pipeline design. • Experience with Power BI, including semantic models or Tabular Editor. • Curious, collaborative mindset with the ability to push back constructively and guide stakeholders. ...

reports that support strategic decision-making Working directly with stakeholders to translate business challenges into data solutions Building and maintaining robust data models and semantic layers Turning complex datasets into clear, actionable insights for non-technical audiences Improving reporting standards, data quality, and visual consistency Automating manual reporting processes ...

will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high-quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for analytics ...

profile existing data sources (apps, databases, files, SaaS). Design and implement data cleansing and standardisation pipelines. Maintain data dictionaries, lineage diagrams, and semantic layers. Establish pragmatic governance: data ownership, KPIs, thresholds, and access controls. Implement automated data quality checks, dashboards, and root-cause remediation. Ensure trust, consistency ...

Power BI, setting clear standards, best practices and governance across reporting, data models and datasets Design, develop and optimise enterprise scale data models, semantic layers and Power BI architecture, ensuring performance, security and scalability Act as the technical authority for Power BI, DAX and Power Query, driving high quality ...

high-quality, easy to understand, and well-documented. Create an environment that allows safe experimentation and innovation. Power BI & Analytics Leadership Lead on our semantic layer, data models, and Power BI architecture. Build and govern standard datasets used for: Executive reporting Self-service BI Data science ...

dimensional modelling (e.g. Kimball methodology) Experience with modern data platforms and governance tools Advanced Power BI and Excel skills Experience building or managing semantic layers Strong stakeholder management and communication skills Experience mentoring or leading data professionals Desirable Experience working in complex, multi-domain organisations Exposure ...

monitoring across key business domains Translate business requirements into clearly defined and documented metrics Contribute to improving data quality, modelling standards and the wider semantic layer YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial experience in a BI Analyst, Data … Reporting Analyst role Advanced SQL skills, including joins, aggregations and complex queries Experience building data models and transformations, ideally using dbt Exposure to semantic modelling, star schemas or Kimball style methodologies Experience with data visualisation tools such as Tableau, Power BI or Looker Comfortable working with stakeholders and explaining ...

role in supporting users, applying best practice and contributing to the consultancy's broader analytics framework. Responsibilities Build, maintain and optimise Power BI semantic models Develop high-quality Power BI reports and dashboards, including advanced DAX measures and calculations Apply best practices across data modelling, performance optimisation and governance … methodologies Skills and Experience Strong, hands-on experience with Power BI (data ingestion, modelling, DAX) Solid understanding of data modelling, star schema design and semantic layer principles Proven ability to create scalable, efficient analytical models and performance reports Excellent communication skills with the ability to translate user requirements ...

Microsoft Fabric/Purview. Advanced Power BI (DAX/modelling) and Excel capability to effectively support report creators. Proven ability to build a semantic layer from scratch in a complex, multi‐site environment. Nice-to-Haves: Strong communication skills and a passion for mentoring. High attention to detail. ...

analytics environment Experience working with BI tools such as Tableau, Looker, Power BI, or similar A solid understanding of KPI design, star schemas, and semantic layers Confidence working with non-technical stakeholders and challenging assumptions with data An adaptable mindset, comfortable operating in a scaling and evolving environment ...

Airflow and other open-source tools Contribute to a data mesh architecture, leveraging Kafka or similar messaging technologies Define and maintain data models and semantic layers for business consumption Establish best practices for data quality, lineage, auditability, and performance Build and maintain data catalogues, glossaries, and governance frameworks Integrate … Work With Medallion Architecture (Raw → Cleansed → Curated/Golden layers) Designing and building data lakes and ingestion frameworks from scratch Developing data products and semantic layers for trading and analytics Understanding upstream and downstream data dependencies Applying data mesh principles with distributed ownership Working within Azure Fabric environments ...

hands-on builder (not a pure manager) Nice to have FMCG/retail/commercial analytics experience (NIQ/Circana a plus) dbt/semantic layer design MLOps, evaluation & observability tooling Background in consulting or data science roles, now looking to own a product ...

about designing systems, deploying AI agents, and transforming how a business makes decisions . What you’ll own The data foundation: Build a scalable semantic layer —the single source of truth for people and AI AI in action: Create and orchestrate multi-agent systems that automate workflows ...

evolve enterprise-grade data architectures, ensuring scalability, sustainability and alignment with client objectives. Solution Design & Governance Lead the design of cloud-based data platforms, semantic layers, integration patterns and data models. Establish governance standards, frameworks and principles that guide engineering teams. Stakeholder & Client Engagement Act as a trusted technical … components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc. Demonstrated experience architecting solutions using medallion architectures , including curated gold-layer models designed for analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics ...