51 to 75 of 121 Semantic Layer Jobs

journey. Strong proficiency in SQL and advanced Python is required. Experience with modern data stacks, including dbt, data warehousing (e.g., Snowflake), and visualization/semantic layers like Lightdash or Looker. Strong ability to understand the underlying mechanics of marketing to ensure technical products are meaningful and focused on explaining ...

scalable data products (dashboards, models, internal tools) that enable stakeholders to self-serve insightsHelp teams interact more directly with data (e.g. through better abstractions, semantic layers, or AI-powered interfaces)Raise the bar for how AI is used within RAD- sharing patterns, workflows and best practicesCraft clear, compelling data ...

Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic/curated layer and data marts. Delivering complex analytics work streams end-to-end; scoping, estimation, delivery, hand-over and post-implementation review. … insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI engineering skills: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning and RLS, alongside sound engineering discipline ...

take ownership of the organisation's data architecture strategy, ensuring alignment with the wider data vision while defining and governing data models, standards and semantic layers across the business. Key responsibilities include: Designing and governing enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture. … Creating scalable curated data models using dimensional modelling and Kimball methodologies. Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics ...

take ownership of the organisation's data architecture strategy, ensuring alignment with the wider data vision while defining and governing data models, standards and semantic layers across the business. Key responsibilities include: Designing and governing enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture. … Creating scalable curated data models using dimensional modelling and Kimball methodologies. Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics ...

team track and optimize cloud spend through structured monitoring and alerting.BI ResponsibilitiesDevelop, maintain, and improve LookML models, views, and explores across the Looker semantic layerWrite and manage Liquid (Jinja2, Shopify flavor) templating logic for dynamic and parameterized content within LookerWrite advanced SQL queries in BigQuery to support data modeling … debugging, and performance optimizationCollaborate with data engineers on dbt models, ensuring the semantic layer accurately reflects the underlying dataIdentify and resolve data quality and consistency issues across models and exploresReview and refactor existing LookML for performance, maintainability, and accuracyDocument data models and business logic to support long-term ...

generate actionable insights that drive company growth and inform decision-making.Sr. Data Analytics Developer - Responsibilities:• Design, develop, and maintain enterprise-scale Power BI semantic models (tabular)• Architect scalable and high-performance data models for multi-tenant SaaS analytics• Define best practices for dataset design, governance, and lifecycle management• Optimize … growth and usage scaling• Evaluate and enhance current analytics platform architecture• Partner with teammates for ETL and data pipeline improvements• Provide technical guidance on semantic layer design and analytics best practices• Support cross-functional stakeholders with scalable reporting architecture• Assist in resolving high-priority analytics platform issuesSr. Data ...

scalable, reusable, market-adaptable and aligned with enterprise data architecture. Partner with engineering and architecture teams to ensure the right ingestion, harmonisation, modelling, semantic layer and visualisation approaches are applied. Ensure consumer data products can support both descriptive and advanced analytics use cases, including segmentation, propensity modelling, personalisation … user stories, acceptance criteria, backlog prioritization, roadmap development, and Agile delivery practices.Knowledge of consumer data platforms and data architecture, including data ingestion, harmonization, modeling, semantic layers, reporting, and analytics enablement.Experience delivering data products that support marketing activation, customer insights, personalization, segmentation, reporting, and decision-making.Strong understanding of data governance ...

Responsibilities Lead delivery of the Microsoft Fabric/Power BI data platform Manage the Salesforce-to-Fabric reporting and data pipeline Coordinate ingestion, modelling, semantic-layer alignment and reporting readiness Lead CRM-to-Salesforce data migration planning and execution Own project plans, milestones, dependencies, RAID and decision logs ...

strategy and influence data governance at scale Involvement in a major cloud migration programme Exposure to emerging areas such as AI-enabled analytics and semantic layer development Clear progression within a structured framework How to Apply If you are an expert in Tableau, apply below ...

strategy and influence data governance at scale Involvement in a major cloud migration programme Exposure to emerging areas such as AI-enabled analytics and semantic layer development Clear progression within a structured framework How to Apply If you are an expert in Tableau, apply below ...

RESPONSIBILITIES: The Senior Analytics Engineering Consultant will: Design and deliver analytics solutions using Google Cloud, BigQuery, dbt and Looker Build scalable data models, semantic layers and modern reporting environments Lead client workshops, discovery sessions and requirements gathering activities Manage multiple client engagements and balance competing priorities Lead technical discussions ...

technical lead journey.Strong proficiency of SQL and advanced Python is required.Experience with modern data stacks, including dbt, data warehousing (e.g. Snowflake) and visualization/semantic layers like Lightdash or Looker. Ability to understand the underlying business logic of marketing and financials to ensure technical products are meaningful and actionable. ...

reference data, analytics and AI enablement), including transitional architectures.Define, embed and govern enterprise standards, patterns and reference architectures (data modelling, data integration, data products, semantic layers and AI data/knowledge patterns) to ensure consistency, interoperability and reuse.Engage key stakeholders (Information Security, Office of the General Counsel … embed controls (access, privacy, retention, usage restrictions, lineage and auditability) required for trusted data and Responsible AI.Identify reusable enterprise patterns (data products, canonical models, semantic definitions, feature/embedding reuse, RAG knowledge sources) and promote adoption across domains.Promote standardised approaches, technologies and ways of working with Data & AI colleagues ...

responsibility for the outcome. Strong experience with Databricks and Azure OpenAI, which underpin much of our delivery. Nice to have Ontology, knowledge graph or semantic layer experience. Delivery experience in pharma or CPG. Practical experience designing systems around EU AI Act requirements. Multilingual AI systems in production. ...

responsibility for the outcome. Strong experience with Databricks and Azure OpenAI, which underpin much of our delivery. Nice to have Ontology, knowledge graph or semantic layer experience. Delivery experience in pharma or CPG. Practical experience designing systems around EU AI Act requirements. Multilingual AI systems in production. ...

performance, media ROI, trade effectiveness, sales analytics and category growth.* Advise on modern data foundation principles, including data governance, standardisation, metadata, lineage, quality, interoperability, semantic layers, data products and reuse.* Support the design of scalable data operating models, including ownership, stewardship, governance forums, decision rights and adoption mechanisms.* Bring ...

delivery focused Data Modeller who combines strong architectural thinking with genuine hands-on capability. You'll be comfortable moving between business requirements, data modelling, semantic layer design and technical implementation, helping to drive a best in class data platform. Key Knowledge Designing and delivering enterprise scale data models … Snowflake Working hands-on across data warehousing, data integration and data exchange solutions Defining and implementing logical and physical data models Developing and optimising semantic layers to support reporting, analytics and self-service consumption Collaborating with Data Architects, Engineers and Business Stakeholders to translate requirements into scalable solutions Supporting ...

impact on how data empowers the organisation. THE ROLE You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. ...

platform maturity. Responsibilities include: Leading end-to-end Tableau development across Tableau Desktop, Tableau Prep, and Tableau Cloud Designing and maintaining scalable data sources, semantic layers, and reporting solutions Defining and embedding Tableau development best practices across the business Building high-quality dashboards that deliver actionable business insights Writing ...

platform maturity. Responsibilities include: Leading end-to-end Tableau development across Tableau Desktop, Tableau Prep, and Tableau Cloud Designing and maintaining scalable data sources, semantic layers, and reporting solutions Defining and embedding Tableau development best practices across the business Building high-quality dashboards that deliver actionable business insights Writing ...

reporting solutions. Responsibilities include: Developing end-to-end Tableau solutions across Tableau Desktop, Tableau Prep, and Tableau Cloud Designing and maintaining scalable data sources, semantic layers, and reporting frameworks Promoting Tableau development best practices and supporting consistent delivery standards Building high-quality dashboards that provide actionable business insight Writing ...

configure AI-powered data management capabilities and agentic solutions.Enable AI-ready data by establishing standards for metadata, business glossaries, taxonomies, data products and semantic layers that support both trusted business consumption and AI model interoperability.Collaborate with architecture, engineering and platform teams to design target-state data architectures that enable ...

understanding of how AI capabilities are embedded within existing business systems and workflows.Exposure to data platform architecture (Snowflake, medallion/lakehouse patterns, semantic layers) and how governed enterprise data enables AI at scale.Track record of leading enterprise transformation through influence — driving adoption, managing change, and building cross-functional alignment ...

more important than ever!As Director of Data Products, you will own the platform, the products, the tools, the processes and the self-serve layer, so that the answer arrives before the request does.You will be a force-multiplier for the quality, velocity and impact of Multiverse's decision … senior stakeholders across the org to coordinate a complex set of competing needs.What you'll ownData leverage across MultiverseThe platform, products and self-serve layer that ~800 people use to find, understand and act on our data — reducing the dependency on Data & Insight to answer questions others could answer ...