Rittman Analytics
Official@rittmananalytics · Brighton, UK
Rittman Analytics is a consultancy that works with ambitious, data-rich businesses to scale and modernise your data analytics capabilities.
Agent Skills by Rittman Analytics
Showing 16 vetted skills indexed across 2 GitHub repositories.
rittmananalyticsResearch Persistence
Save research summaries into timestamped session directories for future retrieval.
rittmananalyticsSkills for Document Understanding
Extract and summarize text from PDF, Word, Excel, and PowerPoint documents.
rittmananalyticsfivetran
Manage Fivetran data pipeline connections via API calls.
rittmananalyticsdbt-semantic-layer
Design and validate dbt Semantic Layer artifacts with YAML configurations.
rittmananalyticsdbt-migration
Automate dbt project migration across platforms and versions with validation.
rittmananalyticslooker-dashboard-mockup
Generate self-contained HTML Looker dashboard mockups with Chart.js.
rittmananalyticslookml-content-authoring
Generate and update LookML view, explore, and model files from schema YAML or JSON.
rittmananalyticsdagster
Automate Dagster pipeline setup and management with dbt integration.
rittmananalyticsdbt-analytics-qa
Answer business data questions by querying dbt models and semantic metrics.
rittmananalyticsdignified-python
Enforce Python code standards and best practices in Wire projects.
rittmananalyticsdbt-dag
Generate Mermaid flowcharts of dbt model and source dependencies.
rittmananalyticsdbt-fusion
Classify and troubleshoot dbt Core to Fusion migration errors.
rittmananalyticsdbt-troubleshooting
Classifies Airflow errors and guides users through step-by-step troubleshooting and recovery workflows.
rittmananalyticsdbt-mcp-server
Automate dbt MCP server setup and configuration for Claude.
rittmananalyticsdbt-unit-testing
Validate dbt models with mock inputs and expected outputs.
rittmananalyticsdbt Development
Validate dbt models against coding conventions for structure and quality.
Frequently Asked Questions About Rittman Analytics
FAQPage SchemaWhat specific data engineering tasks does Rittman Analytics support?▼
Rittman Analytics enables the design and validation of dbt semantic layers, generation of LookML content, and management of Fivetran data pipelines. They provide specialized support for dbt model unit testing, dependency visualization via Mermaid diagrams, and troubleshooting complex migration errors across data platforms.
Which technical personas benefit from these data engineering capabilities?▼
These capabilities are designed for data engineers, analytics engineers, and business intelligence developers. Professionals managing modern data stacks who require standardized dbt project structures, automated LookML authoring, and robust testing frameworks for their semantic metrics will find these resources essential for scaling their analytics infrastructure.
What are the prerequisites for implementing these dbt and Looker solutions?▼
Implementation requires an existing dbt project environment and access to Looker for LookML development. Users should have their data schemas defined in YAML or JSON formats to leverage the content authoring features, and maintain active connections to their data warehouses for pipeline management and semantic layer validation.