626 to 650 of 3,374 Remote/Hybrid Analytics Jobs

data professional with strong SQL and Power BI skills looking to take the next step into modern analytics and Microsoft Fabric? We are partnering with an established, innovation-focused software business to find a Data Analyst to join their collaborative R&D team. You will report directly … Growth: Dedicated 1-on-1 mentorship during your first few months. Modern Tech Stack: Immediate pathway to build production-level Microsoft Fabric and cloud analytics experience. Forward-Thinking Culture: A supportive team that actually encourages you to use modern AI workflows to make your work more efficient. ...

Providing regular operational reporting across service performance, SLA adherence and delivery progress to both leadership and key stakeholders. Experience Needed Strong experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative … coordinating offshore/distributed teams. Strong stakeholder management and communication skills. Typically 5+ years' technology operations experience, with 2+ years in AI/advanced analytics or equivalent. If you're looking to join a forward-thinking organisation and make a meaningful impact, please send your CV for consideration. Etech Partners ...

development of the ELN platform to support laboratory operations and good data management practice, alongside extending its capability to support broader laboratory data and analytics activities. A key responsibility will be coordinating and collating the requirements of all users and ensuring that suitable ELN tools are developed that … Technology, Quality and laboratory informatics to align on consistent data capture methods, data structures, nomenclature and shared data goals. Define the reporting and analytics needs required to enable data‐driven scientific decision‐making from the repository. Write SQL queries to extract, transform and validate data from laboratory systems ...

London areaEngineering, Product, and Design – Product analytics/Full-time/HybridContentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers' whole online journey. … global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We're here to stay—and we're looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns ...

approach to data, moving beyond traditional reporting to create data products that deliver measurable value across the organisation. Bringing together Product, Engineering, Governance, Analytics and Delivery expertise, the team works collaboratively to solve complex challenges and unlock new opportunities through data, insight and AI. As a Lead Product Manager - Data … practices. Drive product-led ways of working across the Data function, helping teams focus on outcomes rather than outputs. Identify opportunities to leverage data, analytics and AI to improve customer, colleague and business outcomes. About you We're seeking an experienced product leader who combines strategic thinking with strong delivery ...

quality, structure, governance, and accessibility of customer, content, and behavioral data. Help build the systems that collect, store, enrich, and activate behavioral data for analytics, personalization, audience intelligence, and business decision-making. Lead work on metadata, taxonomy, and content intelligence capabilities that improve discoverability, reporting, and personalization. Develop AI-powered … tooling that support content creation, enrichment, and distribution. Identify opportunities to automate workflows and reduce manual effort across content and operational processes. Use research, analytics, experimentation, and stakeholder feedback to inform product decisions and prioritize investments. Define success metrics and measure the impact of product initiatives. Manage products from discovery ...

keen interest and insight on the role of SEO and CRO in driving audience engagement Define audience segments, journeys, and value drivers using data, analytics, and research, translating complex insight into actionable plans. Partner with data, content, and creative teams to design personalised experiences that nurture relationships through retention … measurable goals. High commercial and strategic acumen, balancing user needs, organisational objectives, and technical feasibility to drive impact and sustainability. Proficient with customer data, analytics, and experience measurement tools, using insight to inform strategy and demonstrate value. Understanding of marketing and experience technology ecosystems (e.g. CMS, CRM, CDP, analytics, automation ...

modernisation, finance data and reporting, shared services, regulatory reporting and intelligent automation. You will work closely with EXL’s Finance Transformation, Digital Engineering, Data & Analytics and AI teams to bring together the full breadth of our capabilities, translating complex client challenges into practical, scalable and increasingly AI-enabled finance solutions. … gaps, process inefficiencies, and operational risks and develop remediation strategies. Digital Finance, ERP & AI Enablement Lead identification, design, and deployment of Digital Finance, Automation, Analytics, and AI‐led transformation solutions. Shape business cases and implementation roadmaps for ERP modernization initiatives including SAP, Oracle, Workday, Dynamics, and finance cloud platforms etc.. ...

approach to data, moving beyond traditional reporting to create data products that deliver measurable value across the organisation. Bringing together Product, Engineering, Governance, Analytics and Delivery expertise, the team works collaboratively to solve complex challenges and unlock new opportunities through data, insight and AI. As a Lead Product Manager - Data … practices. Drive product-led ways of working across the Data function, helping teams focus on outcomes rather than outputs. Identify opportunities to leverage data, analytics and AI to improve customer, colleague and business outcomes. About you We're seeking an experienced product leader who combines strategic thinking with strong delivery ...

optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you’ll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You’ll also: Lead, coach and develop a team of Data Scientists, supporting their technical and professional growth Plan … efficient use of data across its lifecycle Collaborate with teams across Jet2.com and Jet2holidays to maximise the value delivered through data and analytics Help shape the future direction of Data Science within Jet2 by keeping abreast of emerging technologies, tools and methodologies What you'll have: The successful candidate will ...

finance, and data engineering teams to influence high-level business performance, lead reserving and profit share calculations, and deliver direct commercial impact. Unlike traditional analytics roles that operate in technical silos, this position offers direct commercial visibility and strategic influence across our business. You will not only modernise our underwriting … Translate complex analytical findings into clear, actionable recommendations while coaching and developing junior colleagues. Were looking for someone who is: Experienced in insurance data analytics with a solid understanding of underwriting metrics. Highly proficient with SQL, Excel, and data visualisation tools such as Tableau or Power BI. Able to manipulate ...

grounded in how the desk operates. Analyse trading datasets using Python and AI tooling to surface trends, inefficiencies and opportunities. You will encounter execution analytics, Transaction Cost Analysis, Algo Wheel configuration, market microstructure and European regulatory requirements. Comfortable with complex, domain-specific data and rapid learning is required. Modernise … desk. Stakeholder communication. Ability to explain technical trade-offs clearly to non-technical audiences. 2-3+ years in a technical, data or analytics environment. Financial services exposure is a plus, not a prerequisite. Nice to have skills Demonstrated personal interest in AI beyond the workplace. Curiosity and initiative toward ...

Works with Engineering to ensure data dictionaries are accurate and maintained, leveraging AI tooling to support documentation quality, and partners with Analytics teams where deeper analysis is required coordinating and owning the output Proactively drives smaller initiatives and workstreams end-to-end working directly with engineers from requirements through … data-informed decision making across the product team Required Qualifications, Capabilities and Skills Typically, 4 7+ years' experience in a relevant product/analytics role Degree in a quantitative/technical discipline (e.g., STEM, Economics, Statistics) or equivalent practical experience, with comfort working with technical partners and data-intensive problems ...

tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Join our Enterprise Data & Analytics (EDA) Financial Services team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI, moving beyond experimentation … workstream within someone else’s programme. AI delivered into production, not just piloted. You can describe at least one AI or advanced analytics capability you took from concept into live operational use, including what went wrong along the way and how you dealt with it. Financial Services experience. Experience delivering ...

with the ability to turn complex data into meaningful insights for informed business decisions. The role will support both existing People Analytics reporting and the transition to SuccessFactors-based reporting , ensuring continuity of historical reporting while developing new analytics capabilities. What you'll be doing as a Data Analyst ...

Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers … Product philosophy, our team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing. Why Join Us? Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly ...

management, order processing, fulfilment workflows, and customer communications. Apply AI technologies and emerging digital capabilities to improve operational efficiency, customer engagement, personalisation, content generation, analytics, and support processes. Advise customers on e-commerce best practices, digital transformation opportunities, and scalable commerce architectures. Collaborate with Data & Integration teams to define … Automate, Zapier, Make, Azure Logic Apps, or equivalent. Strong understanding of AI technologies and practical applications within e-commerce, customer service, content generation, automation, analytics, and digital transformation. Excellent customer-facing consultancy and stakeholder management skills. Ability to facilitate workshops, gather requirements, and translate business needs into solution designs. Strong ...

their sleeves and build them. You will define data models, integration patterns and governance frameworks across cloud and hybrid environments, working closely with engineering, analytics and business teams to translate strategic objectives into robust technical solutions. The ideal candidate brings deep AWS expertise, strong data engineering instincts and the communication … Confluent Familiarity with encryption standards and key management solutions including AES-256, TLS and KMS Relevant cloud certifications such as AWS Certified Data Analytics or Google Professional Data Engineer Experience working in fintech, financial services or high-transaction volume environments Why Apply? Salary of £70,000 to £80,000 Employee ...

management, order processing, fulfilment workflows, and customer communications. Apply AI technologies and emerging digital capabilities to improve operational efficiency, customer engagement, personalisation, content generation, analytics, and support processes. Advise customers on e-commerce best practices, digital transformation opportunities, and scalable commerce architectures. Collaborate with Data & Integration teams to define … Automate, Zapier, Make, Azure Logic Apps, or equivalent. Strong understanding of AI technologies and practical applications within e-commerce, customer service, content generation, automation, analytics, and digital transformation. Excellent customer-facing consultancy and stakeholder management skills. Ability to facilitate workshops, gather requirements, and translate business needs into solution designs. Strong ...

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 ...

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. ...

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 ...

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 ...