51 to 75 of 190 dbt Jobs

senior levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating More ❯

senior levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating More ❯

senior levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating More ❯

senior levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating More ❯

ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. Excellent communication skills – you can turn complex data More ❯

ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. Excellent communication skills – you can turn complex data More ❯

ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. Excellent communication skills – you can turn complex data More ❯

data applications Airflow purely for job scheduling and tracking Circle CI for continuous deployment Parquet and Delta file formats on S3 for data lake storage Spark for data processing DBT for data modelling SparkSQL for analytics Why else you'll love it here Wondering what the salary for this role is? Just ask us! On a call with one of More ❯

trends What You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of More ❯

will include: Support Influencer Marketing team: data cleaning, reporting, dashboards, automating manual processes. Support Performance Marketing team: performance reports and insights. Build dashboards in ThoughtSpot. Write SQL (Snowflake, some DBT). Present insights back to marketing stakeholders. YOUR SKILLS AND EXPERIENCE The successful Ecommerce Data Analyst will have the following skills and experience: SQL (essential). Experience in marketing/ More ❯

the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What More ❯

the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What More ❯

the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What More ❯

the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What More ❯

the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What More ❯

and verbal communication skills for technical and executive audiences. Preferred Qualifications Bachelor's or advanced degree in Business, Computer Science, or related field. Experience with modern data stacks (e.g., dbt, Fivetran, Looker, Power BI). Knowledge of data governance, quality frameworks, and compliance requirements. Familiarity with data mesh, domain-driven design, or federated data product models. Exposure to AI/ More ❯

of professional experience in a data analytics or similar role. Strong SQL skills. Proficiency in Python is also beneficial Knowledge of data warehousing, ETL systems and modern equivalents like DBT Experience working with business intelligence software (Looker, Tableau etc.) Experience and interest in ML/AI is beneficial Proven track record of communication with internal stakeholders to drive meaningful action More ❯

with the Performance Marketing team (Google, Meta, Snap) to deliver insights and campaign reports. Designing and building dashboards in ThoughtSpot (or similar). Writing SQL queries across Snowflake (and DBT pipelines). Identifying opportunities to streamline reporting processes and reduce reliance on spreadsheets/manual input. Presenting findings and performance insights back to marketing stakeholders in a clear, actionable way. More ❯

with the Performance Marketing team (Google, Meta, Snap) to deliver insights and campaign reports. Designing and building dashboards in ThoughtSpot (or similar). Writing SQL queries across Snowflake (and DBT pipelines). Identifying opportunities to streamline reporting processes and reduce reliance on spreadsheets/manual input. Presenting findings and performance insights back to marketing stakeholders in a clear, actionable way. More ❯

technologies. Requirements Extensive experience delivering data platform and strategy projects in financial services, ideally including asset management. Hands-on expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder More ❯

technologies. Requirements Extensive experience delivering data platform and strategy projects in financial services, ideally including asset management. Hands-on expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder More ❯

with the Performance Marketing team (Google, Meta, Snap) to deliver insights and campaign reports. Designing and building dashboards in ThoughtSpot (or similar). Writing SQL queries across Snowflake (and DBT pipelines). Identifying opportunities to streamline reporting processes and reduce reliance on spreadsheets/manual input. Presenting findings and performance insights back to marketing stakeholders in a clear, actionable way. More ❯

with performance marketing (Google, Meta, Snap) to deliver insights and campaign analysis. Designing and maintaining dashboards in ThoughtSpot (or similar). Writing SQL queries in Snowflake and working with DBT pipelines. Streamlining reporting processes and reducing reliance on spreadsheets. Presenting insights back to stakeholders in a clear, commercial way. Your Experience Strong SQL skills. Proven experience in marketing or ecommerce More ❯

with performance marketing (Google, Meta, Snap) to deliver insights and campaign analysis. Designing and maintaining dashboards in ThoughtSpot (or similar). Writing SQL queries in Snowflake and working with DBT pipelines. Streamlining reporting processes and reducing reliance on spreadsheets. Presenting insights back to stakeholders in a clear, commercial way. Your Experience Strong SQL skills. Proven experience in marketing or ecommerce More ❯

with the Performance Marketing team (Google, Meta, Snap) to deliver insights and campaign reports. Designing and building dashboards in ThoughtSpot (or similar). Writing SQL queries across Snowflake (and DBT pipelines). Identifying opportunities to streamline reporting processes and reduce reliance on spreadsheets/manual input. Presenting findings and performance insights back to marketing stakeholders in a clear, actionable way. More ❯