301 to 325 of 1,282 Tableau Jobs

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 ❯

Sciences or Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Hybrid working (2 days in London office) Private Medical Insurance (including Dental and Vision) and Life More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

to new tools, technologies, and data environments. Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Familiarity with business intelligence tools such as Tableau, Power BI, or similar platforms is preferred. Proficient in technical tools such as SQL and Snowflake; ability to learn and apply new platforms and tools is expected. Ability to develop More ❯

succeed, you should have: A strong educational background Proficiency in SQL for database querying and modeling Understanding of financial terminology Experience with BI reporting and visualization tools (Looker, PowerBI, Tableau) Knowledge of ETL tools like Alteryx An interest in sports and betting Professionalism, positive attitude, good time management, and organizational skills Proactivity and innovation in process improvements Excellent communication skills More ❯

Bring: A numerical or analytical degree (e.g. Maths, Engineering, Economics, Data Science). 2+ years’ experience in an analyst role, either agency side or clientside. Experience in PowerBI/Tableau or similar. You'll be confident building dashboards and visualising data. Practical SQL skills for custom querying (not essential to be a coder, but must be comfortable querying data sets More ❯

Data Analyst (Level III) 4+ years of experience in data analytics, ideally in crypto, fintech, or trading Strong command of SQL, data modeling, and dashboarding tools (e.g., Metabase, Superset, Tableau) Experience analyzing high-volume transaction data or market data Good understanding of statistics and experience applying it to business decision-making Proficiency in Python for analysis and light scripting Excellent 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 ❯

Army organizational structures, program management processes, and acquisition lifecycle frameworks, including familiarity with Army-specific systems, protocols, and reporting requirements • Familiarity with reporting and visualization tools like Power BI, Tableau, or advanced Excel • Extensive experience in DoD acquisition planning and execution to include preparation and review of all milestone documentation (e.g., Acquisition Strategy) If you require a reasonable accommodation for 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 Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of More ❯

outcome-focused approach Ideally scrum certified product owner or equivalent (expired is acceptable) Working knowledge of SQL and data modelling concepts Experience with BI tools (e.g., Power BI, Looker, Tableau) Familiarity with cloud data platforms such as Snowflake, BigQuery, or AWS Redshift Understanding of modern data architecture and APIs Our Offer Flexi-Week and Work-Life Balance: We prioritise your More ❯