confidently with non-technical stakeholders Experience resolving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis Strong visualisation skills including experience with Tableau Familiarity with Databricks and PySpark for data manipulation and analysis Familiarity with Git-based source control methodologies, including branching and more »
Python to analyse data using standard analytical libraries such as Pandas and, ideally, with building web apps using Flask . Experience with modern data visualisation platforms , ideally Tableau. Track record of continuous learning and innovative thinking. Exposure to Agile processes, preferably Kanban and Scrum. Good stakeholder management skills , able to more »
abilities, capable of leading quantitative analyses and translating insights into actionable strategies Superior Excel/Google sheet analysis skills including modelling. Proficient in data visualisation tools such as Tableau or Qlik Strong leadership, influence, and execution skills across all cross-functional levels Ability to manage multiple projects simultaneously and prioritise more »
if you have: 2-3 years of data analytics experience. 2.1 minimum at degree level (or equivalent). Proficiency in Microsoft Excel and data visualisation (software-agnostic). Experience with Salesforce Datorama, Google Analytics, and Looker Studio preferred. Experience with SQL/R is helpful, but not required. Demonstrated ability more »
and data manipulation using Big Query, querying digital marketing data sets Hands-on experience of working with Search Ads 360 data Comfortable using data visualisation tools to build reporting views – Looker Studio and Power BI Commercially astute - highly numerate, analytical and driven by ROI targets Evidence of a proactive approach more »
and data manipulation using Big Query, querying digital marketing data sets Hands-on experience of working with Search Ads 360 data Comfortable using data visualisation tools to build reporting views Looker Studio and Power BI Commercially astute - highly numerate, analytical and driven by ROI targets Evidence of a proactive approach more »
experience with building robust data-oriented solutions in Python, including web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management company Experience with manging Agile more »
BI Developer or similar role Proficient in PowerBI, DAX, Power Query, and SQL Strong understanding of data modelling and database concepts Familiarity with data visualisation techniques Experience with Azure and Databricks is a plus Prior experience in financial services or commodities is a must If interested please come back with more »
data lifecycle. Strong Python coding experience. 2+ years of commercial experience developing in Snowflake. Good understanding of cloud principles (ideally Azure but flexible) Data visualisation experience is desirable also (ideally Power BI) This role will be based in Central London, and they operate a hybrid remote working policy. The expected more »
will collaborate closely with Engineers, software developers, and business leaders to define precise product requirements, offer analytical support, and provide valuable feedback. Building data visualisation insights and reports, explaining the commercial impact and value of the technical work Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics more »
City of London, London, United Kingdom Hybrid / WFH Options
Hanson Lee Resourcing Ltd
qualifications which will include - undergraduate degree in Mathematics, Statistics, Data Analytics, Insurance Risk Management or similar - CII certification - Python, SQL, R, Tableau, or similar visualisation tools Apply your understanding of, or experience working across, the underwriting process lifecycle Working with datasets to bring valuable insights to - risk evaluation - pricing - pre more »
concise manner, using both written and verbal communication. Tools worked on: Must have hands-on experience in at least one analysis tool and one visualisation tool (preferably but not mandatory SQL, Redshift, Tableau, Alteryx) Skills : ·Data Modeling, ·Data Analysis, ·Data Quality/Cleansing (the work experience must clearly show these more »
the financial services or energy trading industry Expertise in Python and its ecosystem of libraries and frameworks for data processing, data analysis and data visualisation Airflow, detailed understanding of architecture including schedulers, executers, operators Cloud Environments, understanding of principles, technologies and services for AWS/Azure Kubernetes EKS/AKS more »
teams and driving stagey across Data Science and Analytics. In-depth knowledge of statistical analysis techniques and methodologies Proven experience in data analysis and visualization tools, such as SQL, Tableau, Power BI, or similar tools Excellent communication skills, presentation skills and a growth mindset Ability to work effectively in a more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
the composition of SQL queries. Practical experience in integrating data engineering components into production systems, along with expertise in data cleaning, data wrangling, data visualisation, and reporting. Proficiency in handling substantial volumes of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and more »
with a balance of confidence, humility, and enthusiasm. Desirable Skills: Natural curiosity and problem-solving abilities. Proficiency in SQL and Python. Experience with data visualization tools like Looker. B2B or B2C credit risk lending and strategy experience. Sound like the role for you? Feel Free to apply and hopefully speak more »
the composition of SQL queries. Practical experience in integrating data engineering components into production systems, along with expertise in data cleaning, data wrangling, data visualisation, and reporting. Proficiency in handling substantial volumes of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and more »
. Strong programming skills in one or more languages. Familiarity with data modeling, database design, and data integration. Proficiency in at least one data visualization tool, such as PowerBI, Tableau, or similar. Knowledge of database management systems (DBMS) and proficiency in SQL Server or similar platforms. Experience with JavaScript, HTML more »
data governance, catalogue, lineage and associated tools. - Experience in setting up SLAs and contracts with the interfacing teams. - Experience working with and configuring data visualisation tools such as Tableau. - Ability to work independently and as part of a team in a fast-paced environment. - Experience working in a DevOps culture more »
and exposure to sales and trading teams. Strong advanced analytics, modelling and ML experience. Experience with building tools and applications for data analysis and visualization, preferably within the financial services industry. Experience with non-trivial models/modelling. Excellent communication and interpersonal skills, with the ability to collaborate effectively with more »
highly desirable• Platform implementation experience (Apache Hadoop - Kafka - Storm and Spark, Elasticsearch and others)• Experience around data integration & migration, data governance, data mining, data visualisation, database modelling in an agile delivery-based environment.• Experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Service (AWS) and more »
Analytics) department you will manage a group of senior data analysts through an exciting period of change. You will embrace modern data science techniques, visualization best practice and measurement for improvement to champion the use of data to support the trust objectives. You will be supported by a cloud-based more »
experience in designing and conducting complex quantitative and qualitative analyses that identify trends in workforce behaviours. Expert knowledge and practical application of data analytics, visualisation and reporting using various tools. Experience in PowerBI and Alteryx is desirable First-hand knowledge and application of predictive modelling and statistical methods (such as more »
Pay/Source-to-Pay and T &E. Working with outsource or in-house shared services for transactional processes. Excellent analytical capabilities including data visualisation, trend analysis and data science skills. Demonstrate ability to work effectively in an international environment with people at all organisation levels by establishing positive and more »
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 technologies (e.g., Power BI more »
