1,576 to 1,600 of 9,942 Analytics Jobs

owning the overall strategy or technical capability roadmap. The Associate Director will lead discovery, shape recommendations, coordinate implementation and drive adoption across Planning, Activation, Analytics, Finance, Data & Technology and product teams. They will create structure within ambiguous environments, proactively manage delivery risks and bring clear options and recommendations … briefing, planning, buying, activation, finance or reporting. Exposure to taxonomy, naming conventions, unique identifiers, campaign governance, data quality or compliance monitoring. Experience working with Analytics, Data & Technology, engineering or product teams to shape and test solutions. Familiarity with WPP Open, Campaign Governance, Campaign Performance, Power BI or comparable workflow ...

rates, inventory turnover, and customer segmentation. Identify and evaluate growth levers such as pricing strategies, promotional effectiveness, and channel performance. Drive continuous improvement in analytics processes through automation, tooling enhancements, and best practices. Must-Have Skills Domain Knowledge: Understanding of retail operations, consumer sales, and omnichannel strategies. Familiarity with wearable … narratives for executive audiences. Collaboration: Experience working in cross-functional teams and managing multiple stakeholder relationships. Good to Have Skills Understanding of supply chain analytics and inventory optimization. Exposure to machine learning models for sales forecasting or customer segmentation. Experience working in fast-paced, high-growth environments or with consumer ...

customers that are struggling with their bills. We’re unique because we are genuinely a hybrid of a few different skills and mindsets: Data analytics is our core skillset. Everyone in the team is very strong in this area We have a firm understanding of the needs of our customers … Finance, and other stakeholders What You'll Have Excellent SQL skills A drive to solve problems using data 2-5 years experience in data analytics in a consumer-facing business What would be a bonus: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with ...

Leadership and Category Management teams through strong communication, and by proactively identifying opportunities for improvement. Act as the main EU partner for our central Analytics & Data Engineering teams to implement reliable & scalable data pipelines that manage & transform the information we need. Build the necessary models and tools to inform … mentor the other analysts in the team to help them develop their skills and deliver great results. You have: 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product. A strong understanding of statistical analysis and experiment design. A Bachelor ...

helping us move from legacy, on-premise systems to a modern, cloud-first data architecture. Working closely with the BI & Data Lead and an Analytics Engineer, you’ll be the primary architect of our new data platform, supporting our acquisition strategy and turning fragmented legacy data into a competitive … with proven experience refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines, and Python for automation Solid understanding ...

able to influence C-suite stakeholders and present confidently to large audiences; Proficiency with modern B2B marketing tools: CRM (Salesforce), MAP (Marketo/HubSpot), analytics (Tableau/Power BI), and content management platforms; Bachelor's degree in Marketing, Business, or a related field; MBA or equivalent advanced degree … advantage; Fluency in English required; additional languages (German, French, Dutch, Spanish, Italian) are highly desirable. Preferred Qualifications Experience in enterprise SaaS, information services, data analytics, or technology platforms; Familiarity with analyst relations (Gartner, Forrester, IDC) and category creation or category capture marketing strategies; Track record of contributing to ABM (Account ...

best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems … including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta ...

multi-entity financial data, modelled thoughtfully and available at scale. The platform is Kotlin and Spring microservices, with Python where it pays off: metrics, analytics and our AI work. Good features start well before any code gets written, with clear communication about the outcomes to be delivered, followed by planning … data ingestion, transformation or ETL pipelines. You've dealt with data you couldn't trust. Enough Python to design and review it. Our metrics, analytics and AI services are written in it, so you need to be able to reason about them, not to be a Python specialist. Fluency across ...

practices that scale impact across accounts and influence the Databricks product roadmap. What we look for:6+ years experience in data engineering, data platforms & analytics, or software engineeringComfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure … Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

ensuring adoption is aligned with the Bank’s risk appetite, regulatory obligations and technology governance standards. As a member of the Market Pricing, Connectivity & Analytics Management Team, the role provides senior engineering and platform leadership across electronic trading platforms (spot and derivatives), leading high‐performing global teams to deliver scalable … ensuring adoption is aligned with the Bank’s risk appetite, regulatory obligations and technology governance standards. As a member of the Market Pricing, Connectivity & Analytics Management Team, the role provides senior engineering and platform leadership across electronic trading platforms (spot and derivatives), leading high‐performing global teams to deliver scalable ...

discovery workshops, assessments, and strategic advisory engagements. Define enterprise Data & AI roadmaps aligned to customer business objectives. Architect modern data platforms, AI solutions, analytics platforms, and cloud-native data ecosystems. Lead technical pre-sales activities, solution design, estimations, and proposal development. Support public sector bids, procurements, RFPs, and framework submissions. … across Data & AI capabilities, offerings, and accelerators. Collaborate with strategic technology partners including Microsoft, Databricks, Snowflake, AWS, and Informatica. 15+ years' experience within Data & Analytics, Data Engineering, or Enterprise Data Architecture. Strong experience designing enterprise-scale cloud data platforms using Microsoft Fabric, Databricks, Snowflake, Redshift, Informatica, and Spark-based technologies. ...

empowers businesses to thrive by leveraging data-driven insights and digital solutions. RX is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. For more information, visit http://www.rxglobal.com. We know your well-being and happiness … genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose ...

Senior AI & Data Consultant: an analytical, client-facing consultant who is also a hands‐on builder with AI. You will perform advanced analytics, interface directly with clients, and keep project efforts aligned and on track — and you will do it AI‐natively. Our senior consultants use AI tools to analyze … mentor entry‐level consultants and interns. What We’re Looking For 3–5 years of full‐time work experience, ideally in consulting, data/analytics, marketing, advertising, finance, or tech. Strong analytical skills and experience presenting data‐driven recommendations to clients. Hands‐on AI literacy: regular use of AI tools ...

join us and let's build what's next - together! About The Role We are seeking a versatile Data Scientist to join the Functional Analytics team. The core mission of our team is to design and develop new functional analytic capabilities or "engines" that integrate directly into Anaplan Applications … training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Background in supply chain forecasting, enterprise AI, or retail analytics M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB ...

both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role … platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement: Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery: Work within ...

decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market … Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

other non-disability related questions, please reach out to our Talent Partners. Role We’re hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You’ll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. … also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities ...

role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions. You’ll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively. Data Platform sits … centre of the business, with a real opportunity to shape how teams interact with data. The focus is on enabling fast, iterative analytics, moving from idea to insight quickly, while maintaining strong foundations around reliability, cost, and security. OUR MODERN TE OUR MODERN TE Our Modern Tech Stack: Experience ...

role is responsible for developing and maintaining a single source of truth for departmental reporting, creating Power BI dashboards, KPI reporting and performance analytics that support informed decision-making and continuous improvement. Knowledge, Skills, Qualifications & Experience Essential/Key attributes Advanced Power BI and reporting experience. Strong analytical and problem ...

Hybrid We're looking for an experienced Azure Developer to join a growing data team, designing and delivering scalable cloud-based data integration and analytics solutions. Key Responsibilities Design, develop, and maintain Azure-based data integration solutions. Build and support ETL processes, data pipelines, and application interfaces. Develop cloud-native ...

Experience building scalable cloud-based data platforms. Nice to Have Snowflake experience. Broad experience across Databricks , Fabric , and Synapse . Preferred Certifications Microsoft Fabric Analytics Engineer Associate. Microsoft Fabric Data Engineer Associate. #J-18808-Ljbffr ...

data to improve services and patient outcomes? This exciting role provides specialist analytical leadership for the South Wales Trauma Network, using data science, advanced analytics and business intelligence to support service improvement, research and evidence-based decision-making. The post holder will analyse and interpret complex trauma datasets, including data … Informatics environment. Significant experience within an information environment Working with large data warehouses utilising a number of data sources and ETL processes. Contributing towards analytics that are aligned to Population Health/Prudent Health Care and VBHC Experience of information analysis and reporting Strong knowledge in applicable technology e.g. Excel ...

/4HANA, SaaS LoB solutions, and partner platforms (e.g., Salesforce, Microsoft) Identify digitization and automation opportunities using AI, Blockchain, IoT, RPA, and advanced analytics Lead assessments, due diligences, and transformation workshops Support clients in building transformation business cases and value realization models Engage directly with senior business stakeholders and communicate … data standardization and harmonization Data-driven organization design, including data governance frameworks, roles, and operating models Data platform selection and architecture for aggregation, analytics, reporting, and monetization Strong familiarity with the SAP product portfolio and SAP consulting landscape Deep functional expertise (Finance & Controlling/Manufacturing/Logistics/Sales ...

accelerate growth through elegant, data-driven digital solutions. Our areas of expertise include application modernization, eCommerce, UX/UI design, product strategy, data analytics, and artificial intelligence. At Codal, you will collaborate with some of the most innovative organizations in the world and work on cutting‐edge technologies that push … platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and modern CI/CD practices. Solid understanding of databases and data platforms (SQL, NoSQL, and analytics platforms such as BigQuery). Clear, confident communication skills, and the judgment to know when to hold a position and when to adapt it. ...

using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed … Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No‐SQL, DW, and Big Data ...