151 to 175 of 4,308 DemandTrendPermanent Analytics Jobs

Data Integration & Management Extract, transform, and load (ETL) data from Bullhorn, Xero, and other sources into BI platforms. Maintain and optimise the data architecture for reliability and scalability. Reporting & Analytics Design and maintain real-time dashboards for sales, recruitment metrics, financial performance, and KPIs. Create ad hoc reports and deep-dive analyses to support strategic projects and decision-making. Monitor More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

days a week onsite * Pay £50k-£60k depending on experience Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across the customer lifecycle. The successful candidate will work closely with More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

performance tuned architecture, investigating performance issues and fixing and tuning the systems Experience working with Azure DevOps and CI/CD pipeline. Experience working with MS D365, ServiceNow, Azure Analytics tools, Azure Data lake, Azure Synapse, Azure BYOD & Data verse Experience or knowledge of Informatica, BI tools, etc. is a big plus. The position will be based in either Trumbull More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

operational improvements across Outserve What We’re Looking For Degree or equivalent in statistics, mathematics, economics, or related field Strong experience with Microsoft Power BI Commercial experience in data analytics Knowledge of Xero, QuickBooks, A2X, Unleashed, Shopify (desirable) Analytical mindset with excellent financial awareness Exceptional attention to detail and communication skills Support in wider business projects and system implementation What More ❯

focus on Azure services. Strong expertise in designing and implementing ETL processes. Experience in using SQL to query and manipulate data. Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and Azure Data Factory. Understanding of data extraction from vendor REST APIs. Spark/Pyspark or Python skills a bonus or More ❯

databases and ETL technologies 3+ years of experience with Python or other scripting languages for data processing 2+ years of experience with development in Databricks for data engineering and analytics workloads Proficiency in DevOps and CI/CD practices using GitActions Experience with Agile methodologies Proven excellent problem-solving skills and ability to work independently Proven solid communication and collaboration More ❯

gather & understand business requirements and provide data-driven insights • Ensure data integrity and accuracy with thorough validation and testing • Support AI use case discoveries and partner with IT-Business Analytics team to implement AI usage to support supply chain. Ideal candidates will: • Bachelor's degree in engineering, Supply Chain Management, Finance, Computer Science, Computer information systems, Date Business Intelligence, or More ❯

and maintain efficient ETL pipelines to ensure seamless data flow between systems. Integrate data from multiple sources and ensure the architecture supports both operational and analytical workloads. Data Science & Analytics: Conduct exploratory data analysis, develop predictive models, and deliver actionable insights from complex datasets. Use machine learning algorithms to identify trends, forecast outcomes, and drive business decisions. Optimization & Performance: Monitor More ❯

integrity Collaborate with cross-functional teams, including Product, Engineering, FP&A, Data, and BD, to implement and execute monetization strategies effectively What you will need Proven experience in growth analytics and monetization (pricing, promotions, rewards, and loyalty programs) functions, with examples of implementing successful monetization strategies within a Consumer product Track record of designing and implementing high-impact incentive and More ❯

/EAM platforms, leverage cloud-based systems, and analyze trends using SQL databases to monitor asset performance and compliance Qualifications/Skills Basic: - Bachelor's degree in engineering, data analytics, or a related field. - Experience in maintenance systems, data analysis, or reporting within a manufacturing environment. - Strong analytical skills with the ability to interpret complex data sets. - Proficiency in data More ❯