176 to 200 of 2,419 Analytics Jobs in the UK

areas Requirements: 3+ years professional experience as a Data Analyst, Business Analyst or related quantitative role Strong grasp of data structuring, statistical modeling and analytics tools SQL (MUST) and Python programming skills (Optional); experience building data pipelines Knowledge of visualization and business intelligence tools like Qlik (MUST), Tableau, Power BI more »

SalesForce, Pega, Power BI or Tableau. Strong analytical and problem-solving ability with previous experience in transforming complex business requirements into actionable data and analytics solutions. Experience managing the full media data lifecycle and attribution modelling. Proficiency in SQL and hands-on experience with querying databases and data cleansing - this more »

enhance datasets, review data collection processes and identify data errors. Technical skills required for this role: SQL data visualisation techniques Sheets/Excel, Google Analytics/Tag Manager. Bash (or shell environments in general) cloud computing (e.g. GCP, Azure) Python/R (optional) Experience with Tableau, Looker or similar BI more »

app Knowledge of Data modelling. You will be responsible for Azure data repositories from design through to roll-out, including databases, data lakes and analytics models. This will help to support the Reporting Specialists to deliver MI reporting, BI architecture and BI dashboards. If this sounds like the role for more »

a Power BI Developer, to aid them on their data transformation project. Working with their newly created data warehouse, the role will provide insightful analytics to help move the business forward. Role: Power BI Developer Employment type: FTC (12 Months) Location: London (Hybrid – once a month) Salary more »

to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship 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 »

for the success of this role. Qualifications: 5+ years of data modelling experience Previous background as a software engineer Experience with data modeling, data analytics, and business intelligence Knowledge of data warehousing and the development of physical and logical models Good scripting/programming ability in one or more languages more »

a team to drive important business decisions, with strong experience of stakeholder management. What will this role look like? - Build Data Warehouses to facilitate analytics and insights. - Build data integration and transformation routines to target data stores using ETL toolsets. - Building data structures to facilitate data driven insights using BI 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 »

skills Experience working with Azure Experience with data warehousing A degree in computer science or software engineering Experience with Azure resources such as Synapse analytics, Data factory, Logic app Experience in finance, insurance or energy sectors To apply or hear more about this role, please contact or call more »

Azure Firewalls. Ensuring data security and maintaining quality assurance across all systems. Promote a data driven culture, advocating for the use of data and analytics in decision making and process optimisation. Using Predictive modelling solutions for current data and generating a model to help predict future outcomes. Requirements : A Computer 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 »

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 »

Long service awards; company nights out The role would suit best someone with a familiarity with statistics for analytical projects, some experience in predictive analytics and a good grasp of the principles of data visualisation. Strong experience with Power BI and advanced DAX is essential unless your work experience suggests more »

Azure Firewalls. Ensuring data security and maintaining quality assurance across all systems. Promote a data driven culture, advocating for the use of data and analytics in decision making and process optimisation. Using Predictive modeling solutions for current data and generating a model to help predict future outcomes. Requirements : A Computer 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 »

on contract with experience within new business/prospecting - Please only aply if you have demonstrable experience in these areas. Responsibilities: Utilise advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client more »

of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. Expertise in more »

About Tredence: - Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. The largest companies across industries are engaging with Tredence and deploying its prediction and optimization solutions at scale –empowering end users to improve decision making. Headquartered more »

About Tredence­: - Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. The largest companies across industries are engaging with Tredence and deploying its prediction and optimization solutions at scale –empowering end users to improve decision making. Headquartered more »

multiple data sources. * Develop Power BI Premium models with dimensional modelling techniques. * Cultivate strong relationships with business units and key stakeholders to ensure that analytics support aligns with business needs. * Translate business requirements into technical specifications and implement them through reports supporting decision-making. * Continuously identify opportunities to enhance data more »

within the Dynamics development landscape. Design and implement data integration solutions between Dynamics and other systems using industry-standard tools. Utilise Dynamics 365's analytics capabilities to gain valuable insights into customer behaviour and trends. This includes utilising Power BI for data visualisation and analysis. Conduct thorough unit testing and more »

interested, get in touch with Sophie at Forward Role or apply to this advert with you CV! As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and more »