focus on web analytics and customer journey optimization. Proven experience with SQL, Google Analytics, Google Tag Manager, and data visualization tools (e.g., Power BI, Tableau). Experience working with large datasets and data warehousing solutions (e.g., BigQuery). Strong understanding of data collection methodologies, data quality, and data governance. Experience More ❯
of your work with clients. Maintain and improve our machine learning pipelines, processes and products Use tools and languages such as Python, SQL and Tableau for reporting and analysis on our AWS data platform Work with our India based Data Engineering team and our Market Research Teams in the US More ❯
be a good add-on skills. Experience working in multi-channel delivery projects is desirable. Technical knowledge in Telecom-Basics, T-SQL, PL-SQL, Tableau/Power BI/Advanced Excel, R/SAS/Python/Scala/Java, Azure (SQL Database, Cosmos Database, Data Lake Storage, PostgreSQL Database More ❯
Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for analytical minds that can More ❯
environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What More ❯
Milton Keynes, England, United Kingdom Hybrid / WFH Options
Snap Finance UK
analytical skills, with the ability to interpret large volumes of data, develop insights, and make data-driven decisions. Experience with data visualisation tools (e.g., Tableau, Power BI) to track and report on operational performance and KPIs. Expertise in contact strategies and customer engagement in a multi-channel environment, using data More ❯
Reading, Oxfordshire, United Kingdom Hybrid / WFH Options
Coeo
detail. Excellent communication skills and the ability to collaborate with cross-functional teams. Preferred Qualifications : Experience with additional BI tools and technologies (Power BI, Tableau, etc.) is a plus. Knowledge of other data integration tools and techniques. Familiarity with cloud platforms and big data technologies is a plus. Experience in More ❯
leading business planning processes and supporting strategy development and delivery and be proficient in data analysis tools (Excel, SQL, or similar) and BI tools (Tableau, Power BI, etc.). With excellent verbal and written communication skills as well as strong problem-solving abilities and attention to detail, you will have More ❯
a norm in this role, attention to detail is crucial. Leverage advance expertise in Power BI to manage the transition of central reporting from Tableau to Power BI. Able to effectively capture the business requirements from the business, asking the right questions and understanding the 'so what' to deliver the More ❯
Experience with Data Analytics. Experience in dealing with business stakeholders, higher management and non-managers. Knowledge in different data analytics tools (e.g. Power BI, Tableau). Knowledge in ServiceNow reporting and Sharepoint Lists preferred, but not essential. Knowledge of MS Azure is a plus. What will be your key responsibilities More ❯
leaders and cross-functional teams to understand business needs and translate them into data-driven solutions. Create insightful visualizations and dashboards using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn) to communicate findings effectively to non-technical stakeholders. Continuously evaluate and improve the performance of models through … and transformation tools such as Pandas, NumPy, and SQL for working with large datasets. Expertise in creating impactful visualizations using tools like Matplotlib, Seaborn, Tableau, or Power BI. Familiarity with big data tools and platforms like Hadoop, Spark, or cloud-based tools (e.g., AWS, Google Cloud, Azure). Strong analytical More ❯
and Python, and data integration leveraging AWS services such as Lambda, S3, Athena Designing and implementing dimensional data models for analytics and reporting Creating Tableau dashboards, reports and data visualizations which provide clear and actionable insights for operations teams and senior stakeholders Analysing large operational datasets with a focus on … data analysis, ETL and automation Experience working with large and complex data sets, data profiling and cleansing Dashboard development and data visualisation experience using Tableau, presenting data insights clearly and persuasively Experience with AWS, in particular, Lambda, S3, Athena, or equivalent cloud technologies Experience with Git Strong written and verbal More ❯
Working on global projects Qualifications Degree in Mechanical Engineering or equivalent experience CFD knowledge ideally 6-Sigma Reporting knowledge (Excel, desired Power-Bi, ideally: Tableau) Analytical Background Flexibility that focus/working time for different supporting tasks can change Seniority level Mid-Senior level Employment type Temporary Job function Data More ❯
standards will lead to your success. To excel in this role, you must be adept with cloud-based data platforms, tools such as Qlik, Tableau, or Power BI, and have a solid track record in managing data pipelines and databases. Core competencies include excellent analytical and problem-solving skills, strong More ❯
High Wycombe, Buckinghamshire, South East, United Kingdom
Hays
standards will lead to your success. To excel in this role, you must be adept with cloud-based data platforms, tools such as Qlik, Tableau, or Power BI, and have a solid track record in managing data pipelines and databases. Core competencies include excellent analytical and problem-solving skills, strong More ❯
on a diverse range of projects, from creating A/B and multivariate tests to optimise customer experience and conversion rates, to building interactive Tableau dashboards to highlight customer trends across web applications. A strong proficiency in Google Analytics and SQL is essential, as it will enable you to effectively More ❯
Evaluate existing analytics practices and propose solutions for optimizing data analysis and reporting. The person has to be conversant with technologies like Snowflake, AWS, Tableau, Erwin, Kafka and Striims and should be very well aware of their responsibilities. Data Transformation & Optimization: Lead clients in transforming their data infrastructure to support … industries. Strong understanding of data governance, data privacy regulations, and data security best practices. Expertise in data analysis, business intelligence tools (e.g., Power BI, Tableau), and analytics platforms. Solid understanding of data modeling, database management, and ETL processes. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data More ❯
and AI model outputs into clear, actionable insights for non-technical stakeholders. Create compelling presentations and data visualisations, using tools like Power BI or Tableau , to tell the story behind the data. Actively engage with stakeholders throughout the project lifecycle, ensuring they remain informed and aligned with the project goals. … analytics, and model building. Experience with machine learning libraries. Strong ability to communicate complex concepts through data storytelling, using tools like Power BI or Tableau . Proven track record in delivering analytics projects involving predictive modelling, machine learning, or AI. What's in it for you? We're not a More ❯
to ensure our systems are trusted, reliable and available. The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent, Astronomer/Airflow, and Kubernetes. This forms part of a longer-term strategic direction to implement Data Mesh, and … are achievable, and driving a culture of iterative improvement. Modern data stack – hands-on deployment and governance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran, Airflow, AWS, GitHub, Terraform, etc.) for self-service workloads. Coding languages – deployable and reusable Python, JavaScript, and Jinja templating languages for ETL/ More ❯
to ensure our systems are trusted, reliable and available. The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent, Astronomer/Airflow, and Kubernetes. This forms part of a longer-term strategic direction to implement Data Mesh, and … are achievable, and driving a culture of iterative improvement. Modern data stack – hands-on deployment and governance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran, Airflow, AWS, GitHub, Terraform, etc) for self-service workloads. Coding languages – deployable and reusable Python, JavaScript, and Jinja templating languages for ETL/ More ❯