301 to 325 of 1,372 Tableau Jobs

interpreting A/B tests and experiments. Strong understanding of growth, engagement, and retention metrics across digital products. Skilled in dashboarding and visualisation using tools such as Amplitude, Looker, Tableau, or QuickSight. Excellent communicator who can translate data into actionable insights and influence decision-making. Bonus: exposure to AI-driven analytics , LLMs , or cloud-based data infrastructure (AWS/GCP More ❯

/R, and big data frameworks. Strong SQL skills for data extraction and transformation. Experience with AI agents, LLMs, and fraud detection tools. Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop) is a plus. Solid understanding of statistics, machine learning algorithms More ❯

related field . Strong hands-on analytics experience , including working with millions of rows of data . 3+ years of demonstrable proficiency in SQL, Python, and Power BI/Tableau Experience in data management, governance, cleansing, and engineering . Interest in AI/GenAI technologies . Comfortable in a sole contributor role with full end-to-end data responsibility. Articulate More ❯

related field . Strong hands-on analytics experience , including working with millions of rows of data . 3+ years of demonstrable proficiency in SQL, Python, and Power BI/Tableau Experience in data management, governance, cleansing, and engineering . Interest in AI/GenAI technologies . Comfortable in a sole contributor role with full end-to-end data responsibility. Articulate More ❯

business needs into data insights. What You'll Bring Strong SQL and Python (or R) skills for data manipulation and automation. Experience with BI tools (Power BI, Looker, or Tableau). Excellent attention to detail, analytical thinking, and communication skills. A solid background in Data Analytics - 5+ years. A proactive, problem-solving mindset with a drive to improve systems and More ❯

business needs into data insights. What You'll Bring Strong SQL and Python (or R) skills for data manipulation and automation. Experience with BI tools (Power BI, Looker, or Tableau). Excellent attention to detail, analytical thinking, and communication skills. A solid background in Data Analytics - 5+ years. A proactive, problem-solving mindset with a drive to improve systems and More ❯

design and development of technology-based products •Experience working with technical architecture and owning technical writing Experience in data analysis, data modelling, and data visualisation tools (e.g. SQL, Excel, Tableau, PowerBI etc.). Willing to learn database schemas, perform data manipulation tasks such as data cleaning, transformation and aggregation •Ability to facilitate end-to-end delivery, from research, solution options More ❯

insight, or business intelligence roles — ideally within a wholesale, retail, or distribution environment. High proficiency in SQL and Excel for data extraction and manipulation. Experience using Power BI or Tableau for dashboards and visualisation. Familiarity with Python (pandas, numpy) for advanced analytics and automation. Commercially focused mindset with the ability to connect data to business impact. Confident communicator who can More ❯

IT skills. Skilled in building SQL queries and using Python for data analysis, aggregation, and automation. Experienced in developing dashboards and reports using BI tools such as Power BI, Tableau, or DOMO. Adept at gathering and interpreting digital and social media data to support commercial decision-making. Familiar with integrating and analysing data via APIs, Salesforce (Sales and Marketing Cloud More ❯

IT skills. Skilled in building SQL queries and using Python for data analysis, aggregation, and automation. Experienced in developing dashboards and reports using BI tools such as Power BI, Tableau, or DOMO. Adept at gathering and interpreting digital and social media data to support commercial decision-making. Familiar with integrating and analysing data via APIs, Salesforce (Sales and Marketing Cloud More ❯

has. Excellent written and verbal communication skills for presenting complex data in accessible terms Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Bachelors degree in business, economics, statistics, marketing, or a related field. Right to live and work in the UK without sponsorship Ability to More ❯

in configuring Adobe Analytics and implementing tag management solutions. In-depth understanding of digital analytics methodologies, data collection techniques, and industry best practices. Knowledge of data visualisation software like Tableau and PowerBI, and advanced Excel skills are required. Strong analytical and problem-solving abilities, excellent communication skills, and project management abilities to handle multiple initiatives and meet deadlines. Desirable Experience More ❯

in a similar role - Strong proficiency in data analysis and statistical modeling - Proficiency in programming languages such as Python, R, and SQL - Experience with data visualization tools such as Tableau or Power BI - Knowledge of machine learning techniques and algorithms - Excellent communication and presentation skills - Strong problem-solving and critical thinking abilities - Ability to work independently and in a team More ❯

developers to ensure seamless, high-performance solutions. Integrate applications with SharePoint Online and Microsoft 365 services when required. Utilize data analytics tools (such as Power BI, Qlik Sense, or Tableau) to support reporting and insight generation. Participate in Agile ceremonies, code reviews, and cross-functional collaboration to ensure high-quality deliverables. Apply secure coding practices and adhere to organizational and More ❯

Proven experience in business intelligence, data analysis, or a related field, with a portfolio of dashboards and analytical solutions. Proficiency in at least one business intelligence tool (e.g. PowerBI, Tableau, Looker) and a willingness to learn new tools. Solid SQL skills for data querying complemented by a basic understanding of data manipulation languages such as DAX. Strong design sensibility with More ❯

driven architecture and messaging systems (e.g., Kafka, RabbitMQ Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions, GitLab CI/CD Experience working with BI tools like Tableau or Power BI for API-driven data visualizations. Experience with API security frameworks (e.g., OAuth 2.0, OpenID Connect More ❯

Face. Experience integrating AI into enterprise platforms such as DealCloud, Salesforce, or similar CRMs. Understanding of workflow automation tools (e.g., Zapier, n8n, Make) and dashboarding platforms (e.g., Power BI, Tableau). Hands-on experience in chatbot development and conversational UI design is a plus. Familiarity with RESTful APIs and SDKs for integrating LLMs into enterprise platforms. Knowledge of cloud platforms More ❯

understanding of data quality frameworks, data governance principles, and experience implementing automated monitoring and alerting systems. Analytics platform expertise with hands-on experience in business intelligence tools (Power BI, Tableau, Looker) and understanding of self-service analytics principles. Strong problem-solving abilities with experience troubleshooting complex data issues, optimizing performance, and implementing scalable solutions. McGregor Boyall is an equal opportunity More ❯

understanding of data quality frameworks, data governance principles, and experience implementing automated monitoring and alerting systems. Analytics platform expertise with hands-on experience in business intelligence tools (Power BI, Tableau, Looker) and understanding of self-service analytics principles. Strong problem-solving abilities with experience troubleshooting complex data issues, optimizing performance, and implementing scalable solutions. McGregor Boyall is an equal opportunity More ❯

data processing libraries (pandas, numpy, ect) Experience with data visualization libraries (matplotlib, plotly, ect) Experience in big data analytics and data visualization . Proficiency with tools such as Splunk , Tableau , or Power BI . Strong SQL skills and experience with data modeling . Background in data processing pipelines (Spark, Kafka, or similar a plus). Preferred Experience: Background in Statistical More ❯

Familiarity with Snowflake, BigQuery,AWS Redshift, or other cloud data platforms. Exposure to data testing frameworks like Great Expectations or PyTest. Understanding of BI tools such as Power BI, Tableau, or SAP Analytics Cloud. Knowledge of CI/CD automation for data quality testing. Experience in Agile/Scrum development environments. Required Education Bachelors degree in information technology, Computer Science More ❯

assurance. Strong analytical thinking and communication skills able to turn data into meaningful insights. Highly organised, proactive, and comfortable working independently or in a team. Desirable Power BI or Tableau experience. Knowledge of Python or SQL for data manipulation and automation. Understanding of energy data, consumption patterns, and sustainability metrics. Key Skills/Competencies Curious, analytical, and solutions focused. Strong More ❯

assurance. *Strong analytical thinking and communication skills — able to turn data into meaningful insights. *Highly organised, proactive, and comfortable working independently or in a team. Desirable *Power BI or Tableau experience. *Knowledge of Python or SQL for data manipulation and automation. *Understanding of energy data, consumption patterns, and sustainability metrics. Key Skills/Competencies *Curious, analytical, and solutions focused. *Strong More ❯

business process modelling and documentation (BPMN). Familiarity with agile methodologies and working in cross-functional agile teams. Proficiency with data analysis and visualisation tools (e.g. Excel, Power BI, Tableau). Understanding of data management, governance, and data quality principles. Professional proficiency in English (spoken and written). *Rates depend on experience and client requirements More ❯

platforms (e.g., Responsys, Braze, Salesforce Marketing Cloud, Iterable). Understanding of omni-channel engagement (email, push, SMS, in-app messaging). Knowledge of BI/reporting tools (e.g., Looker, Tableau, Power BI) to support analytics integration. Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure). More ❯