or a related field, ideally within media, publishing, or a subscription-driven business Strong experience with data analytics tools (SQL, Python, R) and BI platforms (e.g., Power BI, Looker, Tableau) Proven track record of designing and interpreting segmentation, retention, and LTV models Familiarity with audience data from multiple sources (CRM, digital analytics, surveys, social, etc.) Experience influencing cross-functional stakeholders More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Anson Mccade
interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses More ❯
and SQL DAMA CDMP or DCAM certifications Keen interest and familiarity with generative AI frameworks Experience in semantic structures or data modeling Experience using data visualization tools such as Tableau, QlikSense, or Splunk More ❯
advanced SQL skills, with experience writing complex queries. Experience integrating with cloud-based data warehouses/data lakes (e.g., Snowflake, AWS, Databricks, Big Query) and data analytics tools (e.g., Tableau). Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to thrive in a fast-paced, collaborative environment focused on delivering exceptional solutions. More ❯
of public sector procurement frameworks (e.g., G-Cloud, CCS) and commercial activity in the national security space. Experience with tools for data analysis and visualisation (e.g., Excel, Power BI, Tableau). In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about More ❯
of public sector procurement frameworks (e.g., G-Cloud, CCS) and commercial activity in the national security space. Experience with tools for data analysis and visualisation (e.g., Excel, Power BI, Tableau). In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about More ❯
of public sector procurement frameworks (e.g., G-Cloud, CCS) and commercial activity in the national security space. Experience with tools for data analysis and visualisation (e.g., Excel, Power BI, Tableau). In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about More ❯
of public sector procurement frameworks (e.g., G-Cloud, CCS) and commercial activity in the national security space. Experience with tools for data analysis and visualisation (e.g., Excel, Power BI, Tableau). In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about More ❯
with frequently changing priorities Requirements: Experience in a data science role, ideally within the fraud, risk, or payments domain Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement More ❯
with frequently changing priorities Requirements: Experience in a data science role, ideally within the fraud, risk, or payments domain Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement More ❯
with frequently changing priorities Requirements: Experience in a data science role, ideally within the fraud, risk, or payments domain Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement More ❯
scale dashboarding, reporting, and integration projects. Deep understanding of data governance, consent management, and PII handling. Experience with: SQL, Python Power BI (or equivalent BI tools such as Looker, Tableau, Omni) dbt, Airflow, Docker (preferred) Twilio Segment (or other CDPs such as mParticle, Salesforce Data Cloud) Exceptional stakeholder management and communication skills - able to translate complex data topics into business More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Holland & Barrett International Limited
insight to business context. Delivery ownership: Independently leads high-impact projects from discovery through implementation. Visualisation skills: Designs clean, usable dashboards in Metabase (or experience with equivalent tools like Tableau, Looker, PowerBI). Team contribution: Mentors others, shares knowledge, and strengthens analytics delivery through collaboration. Education & Experience: You have a degree in a quantitative field such as Geography, Statistics, Engineering More ❯
and SQL DAMA CDMP or DCAM certifications Keen interest and familiarity with generative AI frameworks Experience in semantic structures or data modeling Experience using data visualization tools such as Tableau, QlikSense, or Splunk Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately More ❯
