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 and innovation. PGIM More ❯
Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to More ❯
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 ❯
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 ❯
the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯
the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯
the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯
the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯
the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯
the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯
the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯
the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training More ❯
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 Analyst or in More ❯
Southampton, Hampshire, United Kingdom Hybrid / WFH Options
Talent Locker
including legacy data analysis and transformation. Familiarity with data governance frameworks, including stewardship, ownership, and quality monitoring. Proficiency in SQL, Excel, python and data visualisation tools (e.g., Power BI, Tableau). Experience working with Snowflake would be advantageous Familiarity with Salesforce data models (leads, opportunities, contacts and accounts) Understanding of data privacy regulations (e.g., GDPR) and data protection impact assessments More ❯
or financial services sector. Strong understanding of banking operations - retail, corporate, payments, lending, treasury, or risk. Technical expertise in: SQL, data analysis, and data visualization tools (Power BI/Tableau/Qlik) APIs (knowledge of JSON, RESTful services, Swagger/OpenAPI specs) Excel, ETL tools, and basic scripting (Python is a plus) Experience working in Agile/Scrum environments. Strong More ❯
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: Exposure to More ❯
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: Exposure to More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
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 and non-technical audiences. It's More ❯
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 and non-technical audiences. It's More ❯
You'll Bring: 2+ years' experience in a data analyst or similar role (experience in manufacturing or food industry a plus) Strong skills in Excel, SQL, Power BI/Tableau (or similar tools) Analytical thinking with a problem-solving mindset Experience with ERP systems Excellent communication and collaboration skills Why Join Us? Be part of a fast-growing, innovative food More ❯
or data analytics - Advanced proficiency in SQL and Python - Knowledge of data warehousing and data modeling - Experience in developing analytical models and reporting frameworks - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience working directly with business stakeholders to translate between data and business needs - Experience programming to extract, transform and clean large (multi-TB) data sets PREFERRED More ❯
Bethesda, Maryland, United States Hybrid / WFH Options
Gridiron IT Solutions
implementing real-time data processing solutions Strong understanding of AI/ML applications in systems and software Excellent problem-solving and communication skills Experience with data visualization tools (e.g., Tableau, PowerBI) Desired: Experience in IC Familiarity with drag-and-drop data tools and API integrations Clearance Applicants selected will be subject to a security investigation and may need to meet More ❯
data structures-Coins ERP is a bonus Desirable Skills Knowledge of housing, construction or property sectors Experience with process mapping tools such as Visio Experience with other BI tools (Tableau, Qlik, etc.) Knowledge of statistical analysis and A/B testing principles Understanding of financial analysis, budgeting, and forecasting Experience working with finance teams and financial reporting Knowledge of data More ❯
intelligence, or a similar role. Advanced knowledge of SQL. Strong analytical and problem-solving skills with the ability to identify patterns and trends. Familiarity with data visualization tools (e.g., Tableau, Power BI) is preferred. Knowledge of a programming language (eg Python) is a plus. Effective communication skills with the ability to translate complex data into actionable insights. Interest in the More ❯
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 of ML More ❯
