51 to 75 of 292 Tableau Jobs in England

have analytical Expertise: Strong experience in data analysis, financial modelling, and commercial reporting. Technical Proficiency: Advanced Excel and SQL skills; experience with BI tools (Tableau, Power BI, Looker) preferred. Stakeholder Management: Ability to collaborate with teams across finance, sales, marketing, and operations. Commercial Mindset: Strong understanding of revenue drivers, pricing ...

platforms such as BigQuery * Experience with GA4 and Google Tag Manager * Proven experience building dashboards using tools such as Looker Studio, Power BI or Tableau * Strong Excel and Microsoft 365 skills * Experience working with CRM and marketing data * Ability to translate complex data into clear business recommendations * Experience in media ...

following skills and experience: Strong commercial experience in data analysis, reporting, and insight generation Experience with data visualisation tools such as Power BI or Tableau, or a strong desire to develop these skills Familiarity with SQL or Python for data analysis is advantageous Ability to translate complex data into clear ...

communicate technical concepts clearly to non-technical stakeholders) Experience supporting data products, reporting solutions or analytics initiatives Experience with BI tools such as PowerBI, Tableau or Qlik Strong problem-solving and analytical thinking skills Exposure to Oracle OAS or Oracle DV would be beneficial but is not essential What ...

comfortable leading workshops and discovery sessions Nice to have Semantic layers, data contracts, metrics frameworks Data governance, MDM, cataloguing Looker/Power BI/Tableau ML workflow or feature engineering exposure Consulting background, product-centric agile delivery What makes someone succeed here Treats analytics as an engineering discipline ...

take ownership of problems. A practical approach to improving processes. Clear written and verbal communication skills. Experience with SQL, Python, BigQuery, Power BI, Tableau, mapping tools or data automation would be helpful, but none is essential. We are open-minded about your industry background and more interested in your ability ...

entity-relationship, event-driven) Understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data Experience supporting analytics and BI tools (e.g., Power BI, Tableau) from a data engineering perspective Knowledge of data governance, quality frameworks, and secure data handling (including GDPR/PII) Ability to translate business requirements into ...

Expertise in Lakehouse Architecture, Delta Lake, Spark, PySpark Strong data modelling skills (3NF, Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure ...

data quality, and validation processes Interest in developing analytics engineering skills, including exposure to dbt Experience using BI and visualisation tools such as ThoughtSpot, Tableau, or Power BI Ability to communicate technical concepts clearly to non-technical stakeholders Experience working across multiple teams, agencies, or stakeholder groups Exposure to digital ...

Proven ability to build business cases and perform cost-benefit analysis Working knowledge of relational data concepts, SQL, and BI tools (e.g. Power BI, Tableau) Experience using tools such as Jira or Azure DevOps Strong analytical skills with the ability to assess business and operational impact Excellent communication skills with ...

Microsoft Excel (to expert level) SQL – Extracting and querying data from databases Python 3 – One of the most widely used languages in data analysis Tableau – Creating dashboards and data visualisations Study time: Approximately 30–60 hours Assessment: Course completion (no formal exam) You’ll gain hands-on experience using ...

technical colleagues. A positive, curious mindset and willingness to learn new tools and techniques. Desirable: Experience with reporting or dashboard tools (e.g. Power BI, Tableau, Power Automate) or exposure to ETL/data pipeline concepts. Previous experience in warehousing or logistics is beneficial. Familiarity with PIM/ERP systems ...

Microsoft Excel (to expert level) SQL – Extracting and querying data from databases Python 3 – One of the most widely used languages in data analysis Tableau – Creating dashboards and data visualisations Study time: Approximately 30–60 hours Assessment: Course completion (no formal exam) You’ll gain hands-on experience using ...

requires being on-site 4 to 5 days per week. Desirable Criteria: Proficiency with analytical and data visualisation tools such as Excel, Power BI, Tableau, or SQL. Familiarity with project management or collaboration software such as Jira or Confluence. Knowledge of Agile methodologies (Scrum, Kanban) and digital transformation initiatives. Professional ...

senior level. Strong commercial acumen, ideally within FMCG, retail, or agency environments. Deep expertise in data analytics, BI tools (Power BI, Tableau), predictive modelling, and large‐scale data ecosystems. Exceptional communication skills with the ability to simplify complexity. Experience in organisational transformation and embedding analytics at scale. Collaborative , strategic ...

that drive measurable increases in conversion and customer lifetime value. Technical Proficiency: Expert-level skills in SQL and data visualisation tools (e.g., Power BI, Tableau, or Looker). Proficiency in Python or R for advanced modelling is a significant plus. Experience: 3+ years in a senior analytical role, ideally within ...

Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling and visualization tools (SQL, DBT, Excel, Tableau, or similar software). Expertise in creating advanced data visualizations that effectively communicate complex insights to a broad audience, including dashboards and interactive reports. Capacity ...

scale datasets across cloud data platforms including GCP, Azure, AWS, BigQuery, and Databricks. Design, build, and maintain dashboards and automated reports using Power BI, Tableau, Qlik, or Looker. Develop performance reporting frameworks and KPI dashboards for business stakeholders. Measure and analyse customer journeys, digital product performance, platform health, operational KPIs ...

risks. Support stakeholder engagement and communicate analytical approaches clearly. Qualifications & Experience Degree qualified Minimum 1.5 years’ experience in a Data Analyst role SQL experience Tableau and/or Power BI experience nice to have but not essential Hands-on programming/coding experience (education or industry) Experience manipulating datasets ...

data warehouse technologies, ideally Databricks or Snowflake . Strong data querying and coding capabilities. Experience with BI and visualisation tools such as Looker and Tableau . Ability to work independently and manage multiple stakeholder requests. Desirable Experience Previous experience within a retail environment would be highly advantageous Guidant, Carbon60, Lorien ...

experience in data, analytics, AI or machine learning Strong Python and advanced SQL skills Experience with data modelling, data pipelines and analytics Power BI, Tableau or similar reporting tools Exposure to LLMs, vector databases, retrieval methods or enterprise AI platforms Strong stakeholder management and communication skills Interest in legal technology ...

data analysis and data manipulation skills. Experience using Python for analysis. Strong stakeholder management and data storytelling skills. Experience creating dashboards using Power BI, Tableau, Looker or Sigma. Commercially-minded with the ability to influence decision-making through insight. Experience in commercially focused analytics such as finance, pricing, retention, acquisition ...

analytics, or lifecycle analysis Confident using SQL and Python for data analysis Experience with BI and visualisation tools such as Power BI or Tableau Solid understanding of segmentation, retention, and campaign performance metrics Comfortable working with multi channel CRM data including email, SMS, and direct marketing Ability to translate complex ...

Understanding of workflow orchestration and automation tools. Python experience (including PySpark) is beneficial but not essential. Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models support reporting and visualisation. Strong communication skills and the ability to work effectively with both ...

Understanding of workflow orchestration and automation tools. Python experience (including PySpark) is beneficial but not essential. Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models support reporting and visualisation. Strong communication skills and the ability to work effectively with both ...