551 to 575 of 15,607 Analytics Jobs

business intelligence tools based on Tableau software and a growing cloud data warehouse connected to robust data pipelines. The team is responsible for designing, developing, and curating golden-copy analytics datasets from diverse sources. These systems empower data scientists and analysts to make informed, high-quality decisions within the firm and across Blackstone's portfolio companies. Given the scale of … Blackstone's investments and the critical role of data analytics, this is a unique opportunity. Key Responsibilities: Assess high level analytics goals, refine requirements, and build scalable data solutions Refine and drive adoption of data visualization best practices throughout the firm Develop and enrich relationships with data leads across Blackstone Facilitate Proof-of-concept (POC) engagements, draft business designs (requirements … and provide constructive feedback to team members. Stay up-to-date with emerging technologies and industry trends to continuously improve development practices. Qualifications: 7+ years of data visualization/analytics experience preferred on platforms such as Tableau, Sigma, PowerBI, Looker, etc. Capacity to work within complex systems and large data sets via SQL or Python Entrepreneurial attitude and ability to More ❯

opportunities available for experienced professionals across architecture and engineering. This unit is driving major transformation initiatives with flagship enterprise clients, with a focus on intelligent data platforms, AI-driven analytics, and scalable cloud-native solutions. Role Overview This is a strategic and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture … expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics Work in collaboration with Google Cloud teams, ensuring alignment to best practices and cutting-edge services Build reusable assets, accelerators, and frameworks to drive project delivery and consistency Lead a More ❯

also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate … end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to … scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is More ❯

opportunities available for experienced professionals across architecture and engineering. This unit is driving major transformation initiatives with flagship enterprise clients, with a focus on intelligent data platforms, AI-driven analytics, and scalable cloud- solutions. Role Overview This is a strategic and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture on … expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics Work in collaboration with Google Cloud teams, ensuring alignment to best practices and cutting-edge services Build reusable assets, accelerators, and frameworks to drive project delivery and consistency Lead a More ❯

Own Future, Look For Solutions, Be a Part of a Team, Speak Up, Be Honest. Data Collection & Management: Utilise customer data from multiple sources (CRM systems, transactional databases, web analytics, etc.) through mParticle and Snowflake our core Customer Data Profile Warehouse. Ensure the accuracy, consistency, and integrity of data used for analysis. Customer Insights & Analysis: Analyse customer data to identify … of customer-focused strategies through data-driven insights and recommendations. Requirements: Previous experience in customer segmentation, with a focus on customer/marketing data. Experience working with CRM, CDP, analytics platforms, and data visualization tools (e.g., Google Analytics, Tableau, Power BI, SQL). Familiarity with customer segmentation, predictive modelling, and other statistical techniques. Strong analytical and problem-solving skills, with More ❯

You'll Contribute Lead on business analysis with internal customers to discover and document requirements Data engineering and complex modelling bringing together data from multiple data sources suitable for analytics Develop and test complex BI apps i.e. that involve significant amounts of data transformation Develop data pipelines/data warehousing in Microsoft Fabric and migrate across existing solutions from the … to the delivery of processes shared with adjacent CoE’s Adhere to all governance requirements Contribute to ad-hoc requests as needed What You'll Bring Essential Notable data analytics development experience Data engineering and complex data modelling experience (using Fabric/Azure) in bringing together multiple data sources (including ERPs) and tables to create the data model/semantic … complex app/DWH development and support using Qlik Sense and SQL Server/SSIS Experience of KPI reporting Experience of managing finance concepts and terminology Experience of predictive analytics and machine learning Development using Python/R Experience of developing and supporting BI systems in the Cloud What We'll Offer Competitive salary dependent on experience Remote Working with More ❯

Metyis is growing! We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. Our long-term … building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming. Experience with Airflow and Kubernetes. Programming skills in Python (PySpark) and scripting languages like Bash. Knowledge of Git, CI/CD operations, and Docker. Basic PowerBI knowledge More ❯

Location: Redstone Arsenal Currently on-site with the potential for hybrid work (at the discretion of the customer) Clearance: Active Secret Clearance required Job Overview: AltView Analytics is seeking a highly skilled Financial Business Analyst with strong critical thinking skills to support Department of Defense (DoD) clients by providing advanced data analytics, business intelligence, and financial reporting solutions. The ideal More ❯

opportunities available for experienced professionals across architecture and engineering. This unit is driving major transformation initiatives with flagship enterprise clients, with a focus on intelligent data platforms, AI-driven analytics, and scalable cloud-native solutions. Role Overview This is a strategic and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture … expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics Work in collaboration with Google Cloud teams, ensuring alignment to best practices and cutting-edge services Build reusable assets, accelerators, and frameworks to drive project delivery and consistency Lead a More ❯

mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices … key role in crafting the data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a plethora of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. Your Role As a Senior Data Engineer, you will: Collaborate and Innovate: Partner with both internal … ability to consult, advise, engineer and optimise our customers data products and assets. Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core More ❯

mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices … key role in crafting the data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a plethora of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. Your Role As a Senior Data Engineer, you will: Collaborate and Innovate: Partner with both internal … ability to consult, advise, engineer and optimise our customers data products and assets. Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core More ❯

forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends, we set them, and drive change. As a market leader in enterprise analytics and mobility software, we've pioneered the BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. But that's not all. Strategy is also … organization that lives and breathes innovation every day. At Strategy, you're not just another employee; you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment. Job Description The Role: As a Strategic CSM, you will manage Strategy's largest and most strategic accounts. You will serve as a trusted advisor to More ❯

exciting transformation. With bold investment in pricing, data, and technology, we're building a new Retail Price Optimisation team to redefine how we make pricing decisions. By combining advanced analytics, machine learning, rich data, and modern cloud infrastructure, we aim to unlock faster, smarter, and fairer pricing — creating real impact for both our customers and the business. About the Price … Optimisation: Own and deliver pricing optimisation processes, including regular Efficient Frontier modelling and customer outcome simulations, to identify the optimal balance between volume, price, and contribution. Innovation and Advanced Analytics: Pioneer continuous improvement by introducing advanced analytics techniques, machine learning approaches, and modern pricing tools. ML Engineering Integration: Partner with ML Engineering to elevate model sophistication, overseeing integration with Radar More ❯

and dissemination of key performance reports across critical teams such as Field Operations, Asset Management, Connections and Customer Excellence. The ideal candidate will have a strong background in data analytics, business intelligence, and performance management, with an ability to translate complex data into compelling narratives for stakeholders at all levels. Role Responsibilities Performance Strategy Setting: Set and overseen the implementation … of a strategy to improve how performance is managed through the organisation, supporting the shift towards a data driven culture. Performance Reporting & Analytics: Oversee the design, production, and distribution of comprehensive performance reports. Develop and implement dashboards and data visualisation tools to enhance report accessibility and understanding. Team Leadership & Development: Lead and manage a team of performance analysts, providing coaching More ❯

to ensure data pipelines align with the overall data architecture strategy. Data Transformation and Integration Perform data transformation tasks, including data cleansing, enrichment, and aggregation, to prepare data for analytics and reporting. Integrate data from structured and unstructured sources, ensuring compatibility and alignment with data models and business requirements. Automate data transformation processes to improve efficiency. Data Quality Assurance Implement … Data Modelling and Schema Design Collaborate with data architects and data scientists to design and implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and … this be a requirement for you. Seniority level Seniority level Mid-Senior level Employment type Employment type Part-time Job function Job function Information Technology Industries Data Infrastructure and Analytics Referrals increase your chances of interviewing at Conception X Enr. by 2x Sign in to set job alerts for “Data Engineer” roles. Greater London, England, United Kingdom 3 days ago More ❯

Metyis is growing! We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our … building production ETL/ELT pipelines at scale. 1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming. Experience with Airflow and Kubernetes. Programming languages: Python (PySpark), scripting languages like Bash. Knowledge of Git, CI/CD operations and Docker. Basic knowledge of PowerBI is More ❯

fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About The Role: As a Data Analyst on the People Analytics team, you’ll play a crucial role in driving data-driven decision-making across our HR and People functions. Your primary responsibility will be to analyze and interpret employee data … methods and ensure that the data you’re working with is accurate, reliable, and aligned with our business needs. Beyond reporting, you’ll be instrumental in optimizing our people analytics framework, helping to ensure that the systems and processes in place are scalable and adaptable as the company grows. Additionally, you’ll play a critical role in cross-functional projects … your work will help inform strategic decisions and operational improvements across the company. What You'll Need: 2+ years of experience as a Data Analyst, preferably within HR, People Analytics, or a similar field. Strong proficiency in SQL for querying, analyzing, and interpreting large datasets. Experience building and maintaining dashboards and reports using data visualization tools (e.g., Tableau, Power BI More ❯

technology platforms and tools, enhancing digital efficiency and performance. Digital Technology Utilisation: Ensure optimal use of digital technology across Performance Media & Organic Performance, including bid management, audience technology, and analytics for insights. Agency Management: Monitor and guide multiple performance media agency partners to ensure efficient and effective campaign execution. Minimum criteria Advanced knowledge of digital technologies, including GTM, bid management … concise and performant SQL queries. Proficiency in business intelligence tools and technologies (e.g., OAS, PowerBI, Looker). Understanding of cloud technologies Who you'll be working with The Data & Analytics Team within MO provides tools and methods for the wider business to garner insights and analysis from our Data Warehouse and Data Lake, playing a key role in providing support … to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which are in various stages of development following Agile practices. We pride ourselves on More ❯

technology platforms and tools, enhancing digital efficiency and performance. Digital Technology Utilisation: Ensure optimal use of digital technology across Performance Media & Organic Performance, including bid management, audience technology, and analytics for insights. Agency Management: Monitor and guide multiple performance media agency partners to ensure efficient and effective campaign execution. Minimum criteria Advanced knowledge of digital technologies, including GTM, bid management … concise and performant SQL queries. Proficiency in business intelligence tools and technologies (e.g., OAS, PowerBI, Looker). Understanding of cloud technologies Who you'll be working with The Data & Analytics Team within MO provides tools and methods for the wider business to garner insights and analysis from our Data Warehouse and Data Lake, playing a key role in providing support … to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which are in various stages of development following Agile practices. We pride ourselves on More ❯

audiences. Stakeholder Management: Effective interpersonal skills and ability to manage cross-functional relationships. Languages: Proficient in English, both written and spoken. Qualifications: Experience: 1-3+ years in business analytics or related roles within Fintech, Banking, or Telecom sectors. Degree: Degree in Business, Data Science, Statistics, Economics, Mathematics, Computer Science, or related fields. Certifications or a Master’s degree (e.g. … MBA, MS in Business Analytics) are a plus. Tools: Experience with visualization and analysis tools like Tableau, Power BI, SQL, Excel, PowerPoint. #J-18808-Ljbffr More ❯

We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data … Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers More ❯

most of the following: A minimum of 5 years’ experience in Data Strategy and/or Data Management Deep and extensive understanding of Data Strategy, Data Management, and Data Analytics principles, and one or more of several common Data Management methodologies and capability models (e.g. DAMA DMBOK, DCAM, CDMC) and toolsets Experience structuring and running maturity assessments, eliciting & understanding client … within a Financial Services organisation A background in Financial Services (e.g. banking, insurance, investment management) Hands-on experience in data management tooling (e.g. Collibra, Solidatus, Talend, Ataccama) and data analytics implementation (e.g. Power BI, Tableau, QlikView or Sense) A deep understanding of the challenges, opportunities and regulations (e.g. ESG, LIBOR, BCBS-239, CCAR, GDPR, Consumer Duty) facing the Financial Services … industry Up-to-date knowledge of industry best-practices within data management and analytics Formal certification in data management methodologies or capability models Why Join Capco? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and building More ❯

to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills, with a passion for optimizing workflows. Excellent communication and teamwork skills for a dynamic consultancy environment. Experience in data … modeling and understanding of the Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities: Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality and More ❯

domain models. Working as one of our Senior Data Scientist at Saga, you will play a pivotal role in shaping our data strategy and driving the development of advanced analytics solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine … paternity leave Grandparents leave Income protection Access to Saga Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. … Process: Pre-screen call with the Head of Data Science. Technical Python Task TEAMS Interview Present the Technical Task, competency, live SQL Final meeting with our Director of Data Analytics and Decision Science Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special About The Company Over the past 70years we More ❯

and generate actionable recommendations for us as a team. Analyse client behaviour to understand engagement patterns, activation rates, and drop-off points. Qualifications A Bachelor's Degree in Data Analytics, Statistics, Computer Science, or a related field. Minimum of 4 years experience in a data analysis or similar role, preferably within a fast-paced SaaS or technology environment. (Scaleup experience … in OpenSearch. Strong SQL skills for working with AWS Quicksight to create reports and visualisations. Advanced Excel capabilities for quick data manipulation and supplementary analysis. Experience working with Google Analytics for user behaviour tracking and performance metrics. Familiarity with Hotjar for heatmaps and user interaction insights. Ability to define and monitor product KPIs and OKRs, with insights into user funnels … excellent work ethic and can manage workloads well. You are able to work effectively within a remote team, it can have its challenges. You want ownership of the Data Analytics within Vable. We have a culture that we protect, we value the contributions each Vabler makes. We encourage constant learning so you can keep up to date. A yearly budget More ❯