to hold or gain a UK government security clearance. Preferred technical and professional experience Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar. Experience with data visualization tools (Power BI, Tableau). Familiarity with Agile development methodologies. Contribution to open-source projects or community involvement. IBM is committed to creating a diverse environment and is proud to More ❯
in Finance, Economics, Statistics, Computer Science, or related discipline. CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau, Power BI). Exposure to machine learning or AI frameworks in financial modeling is a plus. A collaborative, team-oriented mindset with a passion for continuous learning More ❯
integrity. Present findings to stakeholders in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯
Applicant A successful Data Analyst should have: A strong background in data analysis and reporting. Proficiency in data tools such as Excel, SQL, or similar software. Experience with data visualisation tools specifically Power BI. Excellent analytical and problem-solving skills. A degree in a related field such as Accounting, Finance, or Data Science. Ability to work collaboratively within a team More ❯
Profile A successful Data Analyst should have: A strong background in data analysis and reporting. Proficiency in data tools such as Excel, SQL, or similar software. Experience with data visualisation tools specifically Power BI. Excellent analytical and problem-solving skills. A degree in a related field such as Accounting, Finance, or Data Science. Ability to work collaboratively within a team More ❯
and competitive analysis to inform product development and marketing strategies. Requirements Expert Excel skills - you can build tools quickly, troubleshoot with ease, and help teach others Experience with data visualisation tools (e.g., Tableau, Power BI) to create insightful reports and dashboards. Strong knowledge of data analysis tools and languages such as SQL, Python, or R. Proven experience as a Data More ❯
Analyst role, ideally with a focus on customer lifecycle analytics. Strong knowledge of CLV modelling, churn prediction, retention analytics, and campaign performance analysis. Proficiency in SQL. Experience with data visualisation tools such as Tableau, Power BI, or Looker. Solid understanding of A/B testing principles and experimentation frameworks. Strong communication skills and ability to influence non-technical stakeholders. Experience More ❯
Analyst role, ideally with a focus on customer lifecycle analytics. Strong knowledge of CLV modelling, churn prediction, retention analytics, and campaign performance analysis. Proficiency in SQL. Experience with data visualisation tools such as Tableau, Power BI, or Looker. Solid understanding of A/B testing principles and experimentation frameworks. Strong communication skills and ability to influence non-technical stakeholders. Experience More ❯
experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying AI/ML to solve complex business challenges. Nice to Have More ❯
experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying AI/ML to solve complex business challenges. Nice to Have More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical More ❯
data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical More ❯
models to support data ingestion, transformation, and delivery. Produce clear, robust technical documentation - including API specs and data flow diagrams. Deliver insights using Power BI, Tableau, Excel, and other visualisation tools. What You'll Bring Must-Have Technical Skills Proven hands-on experience with Microsoft Azure data technologies. Strong command of Power BI, Tableau, Excel, and SQL for data analysis More ❯
particularly MSCI RiskMetrics and BarraOne a strong plus You have strong analytical and communication skills; ability to influence stakeholders and translate complex requirements clearly You have experience with data visualization/reporting tools (e.g. Tableau, Power BI, Looker) You have SQL or data querying experience to support analysis and validation You are fluent in English Our Benefits An opportunity to More ❯
Experience: Proficient in SQL and Python. Experience analyzing large, complex datasets, preferably cloud-based. Knowledge of statistical and data science techniques (forecasting, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Looker. Degree in a numerate field (Math, Statistics, Economics, etc.). 1-2 years of relevant experience in a fast-paced, digital or commercial More ❯
to listen and learn Experience with AI and BI tools such as QuickSight A strong interest in data with skillset to support identifying patterns (SQL, Excel, BI tools, data visualization) Product sense and product thinker Good communication skills to communicate stories with data to with product team, internal and external stakeholders, customers, and users. Experience in the financial services or More ❯
Maidenhead, Berkshire, United Kingdom Hybrid / WFH Options
PDI Technologies
Preferred Qualifications Proficiency in programming languages such as Python or R; knowledge of is R an advantage. Experience with SQL and working knowledge of relational databases. Proficiency with data visualisation tools and techniques. Experience with AWS is a plus. Strong problem-solving and critical-thinking abilities. Excellent communication and presentation skills. Ability to manage multiple projects and prioritize tasks effectively. More ❯
IT development processes and delivery lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles Experience with Power BI or a similar data visualisation tool is desirable Why Just? We are committed to building a more sustainable business and have publicly committed to reduce our scope 3 emissions to Net Zero by 2050 and More ❯
with strong Power BI, Excel and SQL capabilities Strong analytical and critical thinking skills with the ability to "get to the root" of business problems Strong data manipulation and visualisation skills Excellent written and verbal communication and able to present complex findings simply and clearly Strong understanding of business processes and performance drivers Experience with stakeholder management and requirements gathering More ❯
trends or patterns. Through this interpretation process, data analysts can produce actionable insights to help organizations achieve their goals. He also supports business analyst with advanced statistical models. Data visualization: The data analyst turns their insights into visualizations that make abstract findings real for stakeholders. KPIs definition and implementation: The data analyst defines the performance KPIs with respect to the More ❯
knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including model lifecycle management, CI/CD for ML, monitoring, and scalable deployment More ❯
are we looking for: Working knowledge of Python, R, or similar languages and statistical methods. Experience with data processing, cleaning, and management, including ETL pipelines. Skills in data analysis, visualization, and storytelling with data. Analytical problem-solving and critical thinking abilities. Awareness of Generative AI techniques, including LLMs, prompt engineering, and RAG approaches. Experience with tools/frameworks for building More ❯
with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Datatech Analytics
with both local and global business needs. Key Responsibilities Provide day-to-day leadership, guidance and coaching to a growing team of data analysts, data engineers, and a data visualisation specialist Oversee project delivery across data pipeline development, analytics, and dashboard/report building in Power BI Work closely with the VP (based in NY) to translate strategic objectives into More ❯
with both local and global business needs. Key Responsibilities Provide day-to-day leadership, guidance and coaching to a growing team of data analysts, data engineers, and a data visualisation specialist Oversee project delivery across data pipeline development, analytics, and dashboard/report building in Power BI Work closely with the VP (based in NY) to translate strategic objectives into More ❯