engineering lifecycle across the business supporting the global data needs of various business functions. This role is a split between data engineering and data analytics and you will take a prominent role on a number of exciting projects. You will be joining a business that values its people at the more »
Senior Thought Leader with an entrepreneurial mindset with deep domain experience. I need someone who has delivered major projects and multi-million pound Data Analytics Solutions, someone who is solutions focused with tremendous soft skills and ability to help shape and grow a practice. Responsibilities: • 16-18+ years of more »
Data Engineer, you will play a crucial role in designing, developing, and maintaining the data infrastructure. You will work closely with our data science, analytics, and engineering teams to ensure that data systems are robust, scalable, and secure. Your expertise will help us harness the full potential of our data more »
discussion. Why Us? At DataBuzzltd, we specialize in global talent acquisition. We are global recruitment firm with expertise in placing candidates in Data Science, Analytics, IoT, Big Data, Data Engineering & Software building, and much more. By applying to this advert, you are giving DataBuzz Ltd authority to hold and process more »
discussion. Why Us? At DataBuzzltd, we specialize in global talent acquisition. We are global recruitment firm with expertise in placing candidates in Data Science, Analytics, IoT, Big Data, Data Engineering & Software building, and much more. By applying to this advert, you are giving DataBuzz Ltd authority to hold and process more »
it into an actionable blueprint and help the client get it done. Who have deep expertise in operationalising strategy, process design, digitisation, data and analytics, automation, technology and change. RESPONSIBILITIES: Analyse and organise raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct more »
stakeholders. A proactive approach to problem-solving and delivering optimal client solutions, bringing an entrepreneurial approach and mindset to business design Knowledge of advanced analytics, data engineering and re/insurance and a desire to work in a collaborative, multidisciplinary team is desirable. What’s in it for you: Competitive more »
performance) and taking initiative to refit and calibrate to latest experience to continue to deliver optimal business value Work closely with other Data and Analytics Teams, inclusive of data warehousing and data engineering teams, in creating data science applications through the utilisation of structured and unstructured data, designing optimal data more »
performance) and taking initiative to refit and calibrate to latest experience to continue to deliver optimal business value Work closely with other Data and Analytics Teams, inclusive of data warehousing and data engineering teams, in creating data science applications through the utilisation of structured and unstructured data, designing optimal data more »
Managing tasks, you’ll be responsible for the design and implementation of numerous moderate-to-complex data flows, to connect operational systems, data for analytics, or business intelligence (BI) systems. Ensuring the customer’s needs are represented at every stage, you’ll support the products owned by the team, working more »
connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries more »
We are seeking a talented and experienced Technical Data Business Analyst within our Data & Analytics portfolio. As Product Manager/Business Analyst, you will be responsible for driving the delivery of data products within various workstreams in data and analytics portfolio. Your expertise in data analysis, business analysis, requirements elicitation … or data-driven solutions within Financial Services/Energy Trading or Energy domains. Minimum 5 years of work experience. of financial market data, data analytics, data modelling, data visualization are advantageous. understanding of data analysis and experience working with data analytics tools (incl. SQL/python), databases, and data visualization more »
the brightest minds that share our purpose and want to make a difference. Job Description An exciting opportunity has arisen in our Global People Analytics team the People Analytics Lead role has become available for a fixed-term one-year period. This role sits within the People Technology & Analytics (PTA … organisation, and reports into the Global Head of People Analytics & Insights at Experian. The People Analytics team at Experian is responsible for delivering insights across the full employee lifecycle from core management information to predictive solutions, overseeing global and regional people insights alongside bespoke analytics projects. The team are highly … will play a part in optimising and shaping the agenda, producing insightful, valuable, and commercial insights into people activity at Experian. In the People Analytics Lead role you will lead a small team of analytics experts and will deliver a range of solutions to our HR and business stakeholders from more »
its dynamic environment and innovative approach. We are seeking a talented BI Developer to join our Global Network Operations function, specifically within the Reporting & Analytics pillar. This team is pivotal in driving innovation, fostering an agile mindset, and ensuring a hands-on approach to analytic application design, from business requirements … service. The Role: You will be at the forefront of exploring Business Operations data, identifying opportunities for innovation, and applying BI and advanced Data Analytics capabilities to deliver data-centric business insights. Your role involves both application/project delivery and business as usual service delivery, working closely with business … and technical teams. Key Responsibilities: Application/Project Delivery: • Explore Business Operations data to identify opportunities for innovation and advanced Data Analytics applications. • Facilitate the resolution of complexities by collaborating with business and technical SMEs, Solution Architects, and other resources. • Manage the delivery of Proof of Concept projects and assist more »
Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java more »
Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java more »
documentation best practices Adheres to quality engineering practices including TDD and BDD Nice to have: Kubernetes EKS/AKS/OpenShift Databricks Experience Log Analytics SSO experience Recent Java experience I will be reviewing profiles on Wednesday and Thursday morning, please apply by then to be considered more »
Azure SQL DB, Synapse and visualization with expertise skills in terms of performance tuning and advanced troubleshooting. 8+ years of experience in data architecture, analytics, design and development Good working knowledge in trouble shooting data warehouse/analytical systems using Azure Synapse. Strong, in-depth experience in data modelling and more »
product managers, data scientists, and stakeholders? If so, we have an exciting opportunity for you! What you will be doing: Develop proprietary data and analytics solutions Provide technical guidance and code reviews to other team members Design, develop and deploy high-performance solutions that process large volumes of data Must more »
as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business is growing quickly and with that so the scale of our data, we are currently working on several initiatives to improve our more »
consultancy client. The successful candidate will be responsible for designing, developing, and maintaining KDB databases, as well as creating and optimizing real-time data analytics solutions. You will work closely with the technology team to enhance our data management systems, ensure data accuracy and integrity, and help us make data more »
a Principal Data Engineer to the team based in London. Requirements of a Principal Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering more »
the Data Analyst will include: Interpreting data, analysing results using statistical techniques and providing ongoing reports Developing and implementing databases, data collection systems, data analytics and other strategies Acquiring data from data sources and maintaining databases/data systems Identifying, analysing and interpreting trends or patterns in complex data sets more »
Embracing development design principles to ensure excellence whilst developing and scaling cloud data platforms using CI/CD pipelines and Terraform. Collaborating with the analytics and insights team to build solutions that combine internal insights, customer outcomes, and external data feeds, unlocking the potential of big data and machine learning more »
designing, building, and optimizing ETL pipelines using SQL and Python. Leveraging the Azure Data Engineering stack, including Azure Data Factory (ADF) and Azure Synapse Analytics, you will ensure our data processes are efficient, scalable, and reliable. The Senior Data Engineer will be responsible for: Design and develop ETL pipelines to more »
