26 to 50 of 197 Visualisation Jobs in the South West

We are seeking a detail-oriented Digital Data Analyst to oversee the financial performance of our paid media campaigns. This role involves analysing advertising spend, optimizing budgets, and ensuring maximum return on investment (ROI) across various digital platforms. Ready to More ❯

SQL and other data manipulation languages to extract, transform, and analyse data from various sources, ensuring data accuracy and integrity. Design and implement interactive dashboards and reports using data visualisation tools such as Tableau, Power BI, or similar platforms to facilitate easy data interpretation and business insights. Required Qualifications: Minimum of 3 years of experience in business intelligence, data analysis … or a related field. Strong proficiency in SQL and data manipulation languages (e.g., Python, R). Hands-on experience with data visualisation tools like Tableau, Power BI, or similar platforms. Must hold DV Clearance to be considered for this role. Preferred Qualifications: Bachelor's degree in Computer Science, Data Science, Business Intelligence, or a related field. Why apply? Opportunity to More ❯

SQL and other data manipulation languages to extract, transform, and analyse data from various sources, ensuring data accuracy and integrity. Design and implement interactive dashboards and reports using data visualisation tools such as Tableau, Power BI, or similar platforms to facilitate easy data interpretation and business insights. Required Qualifications: Minimum of 3 years of experience in business intelligence, data analysis … or a related field. Strong proficiency in SQL and data manipulation languages (e.g., Python, R). Hands-on experience with data visualisation tools like Tableau, Power BI, or similar platforms. Must hold DV Clearance to be considered for this role. Preferred Qualifications: Bachelor's degree in Computer Science, Data Science, Business Intelligence, or a related field. Why apply? Opportunity to More ❯

insightful reports. Requirements Gathering: Work with stakeholders from Finance, IT, and other departments to gather and document detailed business and technical requirements for billing system enhancements and integrations. Data Visualisation (Advantageous): Utilise data visualisation tools (e.g., Looker, Tableau, Power BI) to create clear and compelling dashboards and reports to support decision-making. Experience that will put you ahead of the More ❯

Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Knowledge of big data tools like Hadoop, Spark, Kafka. Familiarity with AWS More ❯

will include: Translating business challenges into testable hypotheses and conducting detailed analysis. Applying advanced machine learning techniques and delivering actionable insights. Engaging in projects ranging from data exploration and visualisation to building algorithms for integration into software and creating data pipelines. Exploring and adopting new tools and methodologies in secure customer environments. Required Skills and Experience: A degree or equivalent More ❯

development, particularly in a regulated industry such as aviation. Strong background in data analytics, data management, and business intelligence. Experience working with data warehousing, code driven pipelines, and data visualisation platforms (e.g., Snowflake, Tableau, Power BI, Looker). General understanding of data management and analytics principles. Familiarity with Agile methodologies and tools such as Jira, Confluence, or Azure DevOps. Ability More ❯

development, particularly in a regulated industry such as aviation. Strong background in data analytics, data management, and business intelligence. Experience working with data warehousing, code driven pipelines, and data visualisation platforms (e.g., Snowflake, Tableau, Power BI, Looker). General understanding of data management and analytics principles. Familiarity with Agile methodologies and tools such as Jira, Confluence, or Azure DevOps. Ability More ❯

Social network you want to login/join with: ARAG UK, a market-leading insurance and legal services provider, has an exciting new opportunity for a Reporting and Analytics Engineer to join us in our Information Management Team, based in More ❯

Join Landmarc Support Services Limited as a Data Professional and be at the forefront of our digital transformation journey. We are a company committed to enhancing our data literacy and investing in our data platform to drive better decision-making. More ❯

Data Analyst Location: Bristol, GB, BS16 1EJ Onsite or Hybrid: OnSite Job Title: Data Analyst Location: Bristol Compensation: Up to £53,795 (Dependent on Experience) + Benefits Role Type: Full time/Permanent Role ID: SF59884 At Babcock we’re More ❯

As a Power BI Specialist, you will play a key role in delivering actionable insights and data visualisations to support decision-making in the industrial and manufacturing sector. This temporary role requires proficiency in Power BI and a keen ability More ❯

develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation frameworks while implementing automation that drives government efficiency. You'll collaborate with stakeholders to transform legacy systems, implement data governance frameworks, and ensure solutions meet the highest security standards. Our … and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data requirements Project Responsibilities: You will work on assignments such as: Architecting end-to More ❯

decisions, optimising marketing performance, and influencing strategic direction. What You'll Be Doing: Partner with stakeholders to define problems, shape analytics projects, and create structured roadmaps Use SQL and visualisation tools to interrogate large datasets, uncovering actionable insights Track and measure marketing campaign performance, applying techniques like media mix modelling (MMM) and attribution Support commercial decision-making with segmentation, pricing … improve our delivery logistics?” “Do we have too many products in our portfolio?” Ideal Candidate: 3+ years’ experience in analytics roles (marketing analytics especially useful) Strong SQL and data visualisation (e.g. Tableau, Power BI) Experience with campaign measurement, segmentation, commercial strategy Confident working directly with business stakeholders and translating technical work into business narratives Exposure to varied business problems – consulting More ❯

and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau, or similar visualization tools). Attention to detail across large data sets and multiple business unit data fields. Preferred: Experience with Snowflake. Familiarity with cloud data platforms (e.g., AWS, Azure, or Google Cloud More ❯

and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau, or similar visualization tools). Attention to detail across large data sets and multiple business unit data fields. Preferred: Experience with Snowflake. Familiarity with cloud data platforms (e.g., AWS, Azure, or Google Cloud More ❯

and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau, or similar visualization tools). Attention to detail across large data sets and multiple business unit data fields. Preferred: Experience with Snowflake. Familiarity with cloud data platforms (e.g., AWS, Azure, or Google Cloud More ❯

and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau, or similar visualization tools). Attention to detail across large data sets and multiple business unit data fields. Preferred: Experience with Snowflake. Familiarity with cloud data platforms (e.g., AWS, Azure, or Google Cloud More ❯

and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau, or similar visualization tools). Attention to detail across large data sets and multiple business unit data fields. Preferred: Experience with Snowflake. Familiarity with cloud data platforms (e.g., AWS, Azure, or Google Cloud More ❯

and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau, or similar visualization tools). Attention to detail across large data sets and multiple business unit data fields. Preferred: Experience with Snowflake. Familiarity with cloud data platforms (e.g., AWS, Azure, or Google Cloud More ❯

qualifications, capabilities, and skills Formal training or certification on data analysis tools and techniques concepts and proficient advanced experience Proficiency in data analysis tools and techniques Experience with data visualization tools like Tableau, Power BI, or similar Working experience with both relational and NoSQL databases Experience and proficiency across the data lifecycle Experience with database back-up, recovery, and archiving More ❯

support the design, analysis and maintenance of a diverse range of data inputs and outputs using a variety of tools to achieve reliable and consistent data use via creative visualisation techniques to enable engagement with the whole Creative chapter. Working across the Creative organisation, the individual will be responsible for developing data input methods, data automation and processes with stakeholders More ❯

to prioritise workloads. Evidence of adapting analytical skills to changing roles and environments. Comfortable working across multiple data sources. Ability to run and manage campaigns and data extractions. Data visualisation & data security. Keen to support a fast growing and busy area of our business. Ability to work in a busy environment and managing stakeholders' communications/expectations at all levels. More ❯

it 3+ years of experience working as a Data Engineer in secure or regulated environments Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization Strong experience with Apache NiFi for building and managing complex data flows and integration processes Knowledge of security practices for handling sensitive data, including encryption, anonymization, and access control Familiarity More ❯

internal customers before producing data outputs to meet the needs of the business. (S&I) Advanced expertise in Excel and experience or proven understanding of SQL, Alteryx and data visualisation tools including Tableau. (S) Organised and can prioritise workloads, have strong attention to detail and can produce clear, replicable data reports. (S&I) Capable of leading and running a focused More ❯