mindset with ability to work across business and technical teams Comfortable working with unstructured data and able to apply logic and rational to provide structure Desirable: Exposure to data visualisation tools (e.g., Power BI) is a plus Prior experience in an enterprise architecture role Experience working with Orbus Infinity EA software or equivalents (e.g. BizzDesign, Ardoq, LeanIX, etc) Experience in More ❯
with a proven track record Relevant experience in analyzing large data sets, data quality, and data warehousing to identify improvement opportunities Relevant experience creating dashboards using Excel, SQL, and visualization tools PREFERRED QUALIFICATIONS Prior experience as a capacity planner or S&OP analyst. Previous coding experience in R, Python, or VBA. Amazon is an equal opportunities employer. We believe passionately More ❯
trust. BASIC QUALIFICATIONS - 3+ years 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 - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and More ❯
needed - Provide input on suggested business actions based on analytical findings. BASIC QUALIFICATIONS - 5+ 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 Matlab - Experience using SQL to More ❯
Implement solutions to monitor the performance of Machine Learning models in production over time Work in teams with other technical experts, e.g. Data Engineers, Data scientists, MLOps Engineers, Data Visualization Specialists Interact with domain experts from different industries to understand and tackle challenging problems Explore and understand client data in relation to the problem you're tackling and communicate findings More ❯
opportunities in global markets Partner closely with internal customers to understand their needs and build intuitive self-service tools Develop software for large scale data acquisition, storage, accessibility, and visualization Work with a team to maintain and extend our global markets reach Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in This More ❯
creating core analytics tech capabilities, platforms development and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional software development managers, data engineers, scientists, business intelligence engineers and product More ❯
using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the business and your clients, establishing key findings and commercially minded resolutions. Work with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Fortice
using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the business and your clients, establishing key findings and commercially minded resolutions. Work with More ❯
in data modeling and design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Good written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and More ❯
using Xero for financial accounting and reporting. 4. Experience with managing customer contracts and hybrid pricing systems through third-party providers. 5. Experience working with SQL databases and data visualization tools like Looker, preferred but not required. 6. Advanced Excel skills, including complex formulas, pivot tables, and data visualization. 7. Excellent communication and collaboration skills, with the ability to work More ❯
Technical Expertise: Expert-level proficiency in Google Analytics (GA4), Mixpanel, BigQuery, Redshift, and advanced Google Sheets functions Strong SQL skills for data extraction, manipulation, and analysis Experience with data visualisation tools (Tableau, Looker, or similar) Familiarity with statistical analysis and A/B testing methodologies SEO & Growth: Deep knowledge and hands-on experience with SEO analytics, including tools like SEMrush More ❯
training, evaluation, and deployment Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects Drive data-driven decision-making through advanced analytics and visualization techniques Ensure the security, scalability, and efficiency of AI solutions Lead research efforts to explore and integrate cutting-edge AI techniques Requirements Bachelor's, Master's, or Ph.D. in Computer More ❯
on data sources and preparation to visualize data and synthesize insights to drive business value Develop and maintain data engineering best practices and contribute to data analytics insights and visualization concepts, methods and techniques Communicate with Project lead and other team members to provide regular progress updates and raise any risk/concerns/issues Job Qualifications Core skills we More ❯
and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. More ❯
e.g., Consumer Duty, Fair Value). Interpret data and technical information to support business decisions. What you will need to be successful Numerical: Proficient in advanced data analysis and visualisation using SQL, Python, R, Excel, and Looker; experienced with additional BI and analytical tools as required. Ability to present data clearly and accurately in presentations to internal and external stakeholders More ❯
Proven leadership skills with the ability to manage and develop a high-performing team. Strong understanding of workforce planning and capacity management. High proficiency in Microsoft Excel and data visualisation tools (e.g., Power BI, Tableau). Experience working with workforce management software and time & attendance platforms. Excellent attention to detail, organisational skills, and ability to work to tight deadlines. Strong More ❯
for all levels of an organization. Curiosity and innovation, exploring new approaches and data sources to improve insights. Comfortable working with SQL, R/Python, AWS/GCP, or visualization tools. Experience with model automation and system integration is a plus. Familiarity with the charity and financial services sectors is beneficial. #J-18808-Ljbffr More ❯
and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. More ❯
owners and asset managers interact with their investments and with each other. We help investors enrich and manage their data, extract actionable investment insights, and improve stakeholder communication via visualization and automation. We strive to be the center of the institutional investment ecosystem: where the world's greatest investors gather to manage their portfolios and engage with one another. More ❯
configuration, and best practices. Proven ability to manage projects independently, with high customer orientation and persuasive skills. Innovative mindset with a good understanding of data-driven AI possibilities. Creative visualization skills for complex concepts. Problem-solving skills and results-oriented approach. Excellent communication and presentation skills, capable of high-impact delivery. Fluent in English, with additional languages considered a plus. More ❯
streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead reviews and approvals for Data Engineering, Data Science, and Data Visualization projects via data architecture review board. Promote best practices in data governance, security, data protection, and risk management. Operational Excellence Oversee monitoring of live data products and lead response to More ❯
power user of AI development tools and have a mindset for building AI-augmented workflows Desirable Experience building tools for technical users (ML, robotics, infrastructure) Experience with scientific data visualisation or complex data interfaces Experience with large-scale job orchestration frameworks such as Flyte, Spark or similar. Knowledge of GraphQL, Prisma, Kafka, or modern cloud infrastructure (Azure, GCP, or AWS More ❯
keyword research, and integration of PPC and SEO strategies for improved search visibility and performance. Proficiency in analytics tools such as Google Analytics, Google Ads, Facebook Insights and data visualization tools to track, measure, and analyse PPC campaign performance metrics, KPIs, and ROI. Ability to derive actionable insights from data analysis, identify optimisation opportunities, and make data-driven decisions to More ❯
with orchestration tools like Apache Airflow. Knowledge of real-time data processing and event-driven architectures. Familiarity with observability tools and anomaly detection for production systems. Exposure to data visualization platforms such as Tableau or Looker. Relevant cloud or data engineering certifications. What we offer: A collaborative and transparent company culture founded on Integrity, Innovation and Performance. Competitive salary with More ❯
