be comfortable working Power BI & databases. • Proficiency in data analysis and data-driven decision-making. Proficiency in data querying languages (e.g., SQL) and data visualization is required. • Excellent communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders. • Strong problem-solving skills and More ❯
retrieval, data science, machine learning and data mining Experience working directly with business stakeholders to translate between data and business needs Experience with data visualization using Tableau, Quicksight, or similar tools Experience in the data/BI space PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership Experience More ❯
issues. Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Basic qualifications: Experience with complex SQL and data visualization (Quicksight, Tableau, Power BI etc.). Experience with AWS or equivalent AWS certification (Cloud practitioner). Experience with programming (preferably Python) to process data. Bachelor More ❯
focus on Amazon's strategic needs. The candidate should enjoy problem solving, conducting Root Cause analysis, and should be proficient in SQL, Excel, and visualization tools like Quicksight. Key job responsibilities: Data analysis by writing ETL queries in SQL/Datanet platforms Highly proficient with MS Excel Enabling effective decision More ❯
retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in the data/BI space PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership - Experience More ❯
Proficiency in Microsoft Excel (advanced level, including pivot tables, vlookups, and other data manipulation functions). Experience working with large datasets. Knowledge of data visualization tools (e.g., Tableau, Power BI). Excellent communication and interpersonal skills, with the ability to interact effectively with individuals at all levels of the organization. More ❯
of tax, finance or a related analytical field experience. - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience. - 3+ years of business or financial analysis experience. - Bachelor's degree or equivalent. - Experience defining requirements and using data and More ❯
Practice Summary: The Business Intelligence team is responsible for providing actionable insights to drive business decisions. We are experts in data collection, analysis, and visualization, ensuring data accuracy and reliability across all media campaigns. We are the guardians of data quality, working to maintain data integrity and provide stakeholders with More ❯
of tax, finance or a related analytical field experience - 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Bachelor's degree or equivalent - Experience defining requirements and using data and More ❯
collaboration (co-owning) with Operations teams. Minimum Qualifications 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with data modeling, warehousing and building ETL pipelines. Experience with AWS solutions such as EC2, DynamoDB, S3, and More ❯
applications. Manage Vector Database (PGVector), including indexing and similarity search optimizations. Application Development: Develop interactive UI components to enable self-serve data access and visualization using React or other web frameworks. Apps examples: generic text to SQL, funnels, user journeys exploration, retention, features active users, attribution, data exploration tool etc. More ❯
development, and data engineering. ARTS develops scalable analytics applications and research modeling to optimize operation processes. The team standardizes and optimizes data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. At ARTS, Data engineers, data scientists, business intelligence engineers, and product More ❯
Tableau, Power BI. Experience with Looker and LookML in particular is strongly preferred. A strong and confident communication style, with good knowledge of data visualization and storytelling. A high degree of curiosity, comfortable gathering and analyzing large amounts of data across a variety of business dimensions. Benefits: Company RSU's More ❯
supporting data science workloads and working with both structured and unstructured data. Familiarity with containerization technologies, such as Docker or Kubernetes. Experience with data visualization tools, such as Tableau or Power BI is a plus. If you feel like you don't tick all our boxes but know you'd More ❯
validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity package, on a standard vesting More ❯
equivalents). Data preprocessing - working with large untidy datasets and the ability to clean and transform data in preparation for analysis or modelling. Data visualisation - using tools like Power BI, Tableau, or libraries like Matplotlib or Seaborn to tell stories. Statistical analysis - understanding of key statistics and distributions, hypothesis testing More ❯
in querying large databases deriving actionable insights. Strong stakeholder management and communication skills, comfortable at presenting data results to senior levels. Experience in data visualisation tools such as Looker, Tableau, Power BI etc. A champion of metrics and the measurement of impact, with the inquisitive acumen to explain the "Why More ❯
customers and to the A.in business. BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and More ❯
databases. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Skills Experience with data visualization tools and techniques. Knowledge of machine learning frameworks and libraries. Understanding of data warehousing concepts and technologies. Experience with data governance and data quality management. More ❯
data-driven organisations. Strong SQL skills and a solid understanding of relational databases (e.g., PostgreSQL). Bonus: Advanced LookML knowledge and experience building data visualisation tools. Skilled in building and managing real-time and batch data pipelines using Kafka and DBT. Familiarity with Docker, Terraform, and Kubernetes for application orchestration More ❯
fraud/AML and compliance topics, either at a PSP, acquirer, or large merchant. Experience with Python, SQL Server, big data. Experience with data visualization tools such as Power BI and Tableau to effectively present and analyse risk-related data and trends. Working knowledge of antifraud solutions/risk systems More ❯
science capabilities. Collaborate with cross-functional teams to drive data-driven innovation. Write well-documented, tested, and readable code. Conduct data analysis, cleaning, and visualisation to uncover insights. Communicate findings effectively to both technical and non-technical audiences. About you Proven track record in data science at a senior level. More ❯
funds, asset management, or similar quantitative environments). Proven experience in automating investor and internal reporting. Strong proficiency in Power BI or other data visualization tools. Advanced Python skills for data analysis and automation. Strong SQL or database query experience. High attention to detail and data accuracy. Strong communication skills More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
InterEx Group
etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence More ❯
funds, asset management, or similar quantitative environments). Proven experience in automating investor and internal reporting. Strong proficiency in Power BI or other data visualization tools. Advanced Python skills for data analysis and automation. Strong SQL or database query experience. High attention to detail and data accuracy. Strong communication skills More ❯
