1,601 to 1,625 of 6,128 Permanent Analytics Jobs

ll handle and analyse large volumes of data using big data technologies available on the Azure platform. Your responsibilities include creating data processing workflows and pipelines to support data analytics, machine learning, and other data-driven applications. 1. In summary, your role revolves around building data processing pipelines, creating analytics solutions, and enabling data-driven decision-making within organizations using … scale, perform efficiently, and meet the organisation's requirements. Essential Skills Proficiency in SQL, SQL Server Understand parallel processing and data architecture patterns Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Ability to design and implement pipelines in ADF. Build complex efficient processes for transformation using SQL & ADF Pipelines Ensure secure, organised, and reliable data pipelines Troubleshoot … all data quality issues Your core foundation will be data analytics which lead you to becoming a data engineer Data Migration You will use Data Factory, Dedicated and serverless SQL DB's and Syanpse. You will pull data from API's & other sources; you will stage and transform this data before converting to JSON and loading into the target using More ❯

have the drive to challenge boundaries. If you're smart and passionate about delivering brilliant customer experiences, we'd love to hear from you. This position provides insights and analytics that support the Customer Solutions Center's operating model. The Customer Solutions Center is the Sales and Service department at Simply Business. The CSC provides commercial insurance solutions to small … finance business partner to provide recommendations. Facilitate the preparation of regular CSC reporting, dashboards, and insights. Regular use of Looker, Amplitude and Zendesk. Proactively identify areas to improve CSC analytics and make adjustments to processes, leveraging innovative solutions as the business scales. Undertake and support ad-hoc strategic projects and analyses to support leadership decision-making and organizational priorities. What … you need to have: Bachelors degree. 5+ years of analytics experience, with a background in financial service, insurance or "tech companies". Possess strong contact center health/optimization expertise. Experience using new technological advancements such as AI to streamline current processes, garner valuable insights and drive business transformation. Ability to connect analytics work to priorities and business outcomes, provide More ❯

bolster our marketing, sales, customer success, and support teams, accelerating revenue growth and enhancing customer experiences. Your focus will involve maintaining and leveraging Hubspot to streamline sales processes, enhance analytics, and manage data integrity, ensuring our teams operate efficiently and effectively. The ideal candidate will possess a deep understanding of the SaaS tech landscape, adept at translating business needs into … Day-to-day you will: Utilize the full capabilities of Hubspot's sales, automation, and reporting hubs to support the sales team. This includes process improvements, measurement, tracking, and analytics from the top of the funnel to close. Leverage your expertise in Python, SQL, and BI tools to track and analyze key metrics such as pipeline growth, win/loss … robust understanding of Hubspot's sales, automation, and reporting capabilities, including custom objects and Hubspot scripting. Proficiency in Python, SQL, and experience with BI tools are crucial. Strong data analytics skills, with the ability to translate high-level sales strategies into system and process requirements, ensuring local execution and business impact. Experience with Dealhub and Gainsight is a plus, indicating More ❯

meaningful data visualizations that drive decision-making. Collaborate across disciplines to translate complex data into actionable intelligence. Work hands-on with technical tools that push the boundaries of automation, analytics, and scalable systems. You'll Excel If You Have: Experience in systems engineering, especially for complex, multi-domain systems. Strong background in data science, including NLP and ML techniques. Proven … For: Experience integrating data into DODAF or other architecture frameworks. Familiarity with defense or intelligence community workflows and mission challenges. Exposure to data pipelines, automation frameworks, or cloud-based analytics platforms. Why You Should Apply: Mission Impact: Your work directly supports national security and strategic operations. Cutting-Edge Tech: Dive into real-world applications of AI/ML in complex More ❯

Build and maintain infrastructure that processes and centralises data from lots of internal and external sources, so our data-hungry users can answer questions without our intervention Build data analytics and data science applications, so we can make better decisions that help us unlock growth opportunities or efficiency gains What you'll do Collaborate directly with senior stakeholders across all … the Data Team can help them achieve their goals Own the full end-to-end design of technical solutions that help us achieve our goals - from data gathering, to analytics engineering, to model selection, training and interpretation Conduct experiments and proofs of concept by developing and deploying machine learning models to solve critical growth/efficiency challenges (like lead scoring … delivery forecasting, customer sentiment prediction, etc) Work closely with our Senior Data Engineer to deploy your models Regularly package your insights (be it from analytics or modelling) into clear narratives that help non-technical audiences make better decisions Contribute actively to our stack by building pipelines and DBT models that enable our users to self-serve Pick up tickets raised More ❯

focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the … Barbaricum is seeking a Senior Data Engineer to support the Department of Defense's Chief Data and Artificial Intelligence Officer (CDAO) in accelerating the DoD's adoption of data, analytics, and AI. The Search Portfolio serves the fundamental need to accelerate decision advantage through information accessibility, information retrieval and insight extraction. The Portfolio will sustain the GAMECHANGER, Contract Search, and … and intelligence operations. Responsibilities: Support the configuration and ingestion of designated structured, unstructured, and semi-structured data repositories into capabilities that satisfy mission partner requirements and support a data analytics and DevOps pipeline to drive rapid delivery of functionality to the client. Maintain all operational aspects of data transfers while accounting for the security posture of the underlying infrastructure and More ❯

original_referer (facebook) datr, lu (g+1) PREF, SID, HSID, SSID TribePad - this allows you to login to our social recruitment management platform trackerToken-4 - this is similar to Google Analytics but specifically allows us to determine which of our marketing activities from which you found our website. visitToken-4 - this is similar to Google Analytics but specifically allows us to … Sales organization. You'll play a central role in driving commercial excellence across sales, marketing and customer success by designing and deploying high-impact scalable initiatives and embedding advanced analytics and AI into every sales motion. You will lead strategic transformation efforts - not operational sales tasks - with a strong focus on value creation, alignment, and change execution. Key Responsibilities Commercial … communicated, understood, and supported across different levels of the organization Ensure alignment between central transformation objectives and local market needs, balancing consistency with adaptability. Actively partner with the Sales Analytics and Data Science teams to inject data- and AI-driven solutions into sales and marketing processes - from lead qualification and pricing, to customer retention and sales enablement. Strategic Partnership with More ❯

such as infrastructure, service management and architecture. . Alignment to global data governance frameworks to ensure data quality, security, and privacy, encouraging data-driven decision making by leveraging data analytics and artificial intelligence (AI) to extract insights and inform business strategies. Implementation of technology practices according to security, compliance and regulatory requirements, and is kept current. Implementation of work in … central lakehouse with real-time and batch capabilities. Establish and maintain enterprise-wide data governance, including lineage, quality, and controls. Provide scalable tooling for BI, reporting, and self-service analytics across the organisation. Enable ML/AI capabilities through robust pipelines, MLOps practices, and model monitoring. Ensure compliance with data privacy and financial regulations (e.g., GDPR, PSD2). Foster a … high-performing data engineering team with strong culture, mentoring, and career paths. Champion cross-functional collaboration with risk, compliance, product, and analytics teams. Finance is the oxygen of the economy. Acting transparently and with expertise, we deploy finance responsibly to support people and businesses, acting ... Boost your career Find thousands of job opportunities by signing up to eFinancialCareers today. More ❯

Holistic Thinking: Consider components and systems while considering a holistic user experience. Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction. Data-Driven Development: Utilize analytics to inform product decisions and improve features. Continuous Improvement: Participate in code reviews and contribute to improving our development processes. Stay Current: Keep up-to-date with the latest industry … Holistic Thinking: Consider components and systems while considering a holistic user experience. Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction. Data-Driven Development: Utilize analytics to inform product decisions and improve features. Continuous Improvement: Participate in code reviews and contribute to improving our development processes. Stay Current: Keep up-to-date with the latest industry … search these words to find applicants that read this and see they're human. Job type: Remote job Tags software design frontend docker support code devops education cloud content analytics engineer backend fullstack digital nomad Sent 269 days ago Apply on external site Share on Facebook Share on Twitter Share on LinkedIn Share via Email Back to index More ❯

platform is intuitive, endlessly scalable, and approved by NHS Digital as a cloud storage solution. Over the next 12 months you will: Work closely with our tech teams on analytics and metrics for product decision-making, both in inputs to experiments or feature development and through monitoring uptake and benefit of changes Own our reporting workstreams and database health Understand … for every day users to monitor their activity, and to support buyers and key decision makers Actively input into company strategy and steer key decisions through product and user analytics Requirements Essential: 1 + year as a Data Analyst (or a similar role) Strong understanding of SQL and Bigquery, or similar relational database languages Strong analytical skills Experience working with … user and business outcomes Excellent communication and presentation skills Enthusiasm, passion, energy and the desire to make positive change Nice to have, but not essential: Working knowledge of Google Analytics Experience in python Experience in B2B analytics Benefits Work from home or at our office in Huckletree Shoreditch (Finsbury Square) Pet friendly office Flexible working times ️ 25 days annual leave More ❯

culture, they offer tailored financial solutions backed by robust analytics. With continued growth in their data capabilities, they are hiring an Entry-Level Data Analyst to join their finance analytics team. This is an exciting opportunity to start your career in a dynamic, supportive environment where data drives real-world financial impact. Role Overview: Ideal for recent graduates or early … making processes-helping the finance team interpret complex data and identify key trends. You’ll gain hands-on experience with financial data and get the tools to grow your analytics career. Responsibilities: Collect and validate financial data from various sources to ensure accuracy and consistency. Conduct basic-to-intermediate analysis on revenue, expenditure, and other financial KPIs. Assist in building More ❯

Analyst - Home Price Modeling Location New York Business Area Engineering and CTO Ref # Description & Requirements The Bloomberg Structured Products team is responsible for all data, cash flows and analytics for the two million plus bonds that comprise the structured products universe. We own some of Bloomberg's largest databases, highest hit services, most comprehensive cash flow model libraries, and … also develop the home price and interest rate models that help power our prepayment and credit models. Our models are developed in conjunction with a comprehensive suite of daily analytics reports, model surveillance reports, whitepapers, specified pool cohorts, and valuation tools. We aim to provide timely model updates that incorporate the latest prepayment and credit trends along with market developments … Our teams develop models that forecast cash flows for a variety of Agency, Non-Agency and ABS securities, produce valuation metrics used to determine relative value, and develop risk analytics used to quantify market risk for hedging and return attribution. We continually enhance our models to stay in sync with evolving market dynamics and government policies, as well as expand More ❯

for the day-to-day administration, maintenance, and support of the Nexthink platform. This role plays a critical part in enhancing IT operations through proactive issue detection, user behavior analytics, and continuous improvement initiatives based on Nexthink insights. Key Responsibilities Administer and maintain the Nexthink platform including Collector deployment, Engine configuration, and Portal management Develop and deploy Nexthink campaigns, remote … e.g.,SCCM, Intune) DoD 8140 compliance, CompTIA Security + or higher Must have Active Secret Clearance Preferred Qualifications Nexthink Certified Associate or higher Experience integrating Nexthink with monitoring or analytics platforms (e.g., Splunk, Power BI) Familiarity with digital experience scoring, employee sentiment analysis, or self-healing automation Prior experience in large enterprise environments or regulated industries Oneida Technical Solutions is More ❯

accurate, accessible, and actionable. Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability. Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem. Champion Data Governance and Access: Drive visibility … experience implementing data pipelines using tools such as EMR, AWS Glue, AWS Lambda, Step Functions, API Gateway, and Athena. Proven experience in designing and delivering Lakehouse architectures, enabling unified analytics across structured and unstructured data. Skills Required: 3+ years of designing complex data pipelines deployed in AWS and deep knowledge all foundational AWS services and major data analytics services. Clear More ❯

TS/SCI Clearance Location: (Washington DC/Northern Virginia) Salary: $160k-$200k + Shares and bonus My client is an innovative company delivering cutting-edge AI and data analytics solutions through an advanced AI platform. They are currently seeking a Data Scientist with an active TS/SCI security clearance to join their growing Platform team. This role offers … sense of ownership and accountability. Excellent communication skills in English, both written and verbal. Nice-to-Haves: Demonstrated experience leading project development efforts from a SCIF. Familiarity with cybersecurity analytics, including PCAP, CVEs, and network monitoring. Experience integrating with technologies such as Spark, Dask, Snowpark, or Kafka. Background in web application stacks (e.g., Flask, Django) or task schedulers (e.g., Airflow More ❯

accurate, accessible, and actionable. Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability. Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation's analytics ecosystem. Champion Data Governance and Access: Drive visibility … experience implementing data pipelines using tools such as EMR, AWS Glue, AWS Lambda, Step Functions, API Gateway, and Athena. Proven experience in designing and delivering Lakehouse architectures, enabling unified analytics across structured and unstructured data. Skills Required: 3+ years of designing complex data pipelines deployed in AWS and deep knowledge all foundational AWS services and major data analytics services. Clear More ❯

engineering experience. Experience with formal methodologies in data engineering. Experience leading or working within an engineering team or function. Experience with the Azure Stack. Experience working in a proactive analytics environment. Experience in the Utilities sector. Experience leading technical projects. Skills & Technologies required: Proficiency in cloud-based data engineering tools (ADF, Synapse Analytics, S3, Lambda). Proficiency in using PySpark More ❯

report on the performance of media campaigns and the impact it has had on performance at Very, demonstrating value and effectiveness for brand advertisers. Collaborate with internal teams across Analytics & Insight, Marketing Channels, and The Very Media Group to optimise campaign outcomes. Contribute to the enhancement of our measurement capabilities, driving innovation and continuous improvement. Develop new analytics tools, dashboards … and methodologies to enable improved targeting and performance measurement. Present insights and strategic recommendations to brand partners, fostering trusted relationships that encourage repeat investment. Support the evolution of our analytics strategy by leveraging data to enhance media effectiveness and monetisation opportunities. About you You will possess strong analytical skills and have the ability to interpret and synthesise diverse data sets. More ❯

Senior CRM & CX Manager, Global CIX (Mat Cover) Ref #: W162740 Department: Data Analytics City: London State/Province: London Location: United Kingdom Company Description Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren … creating worlds and inviting people to take part in his dream and his lifestyle. The Consumer Intelligence and Experience (CIX) organization is focused on leveraging consumer insights and predictive analytics to drive personalized consumer experiences at scale. This team manages all aspects of market research, customer segmentation, first party data build up and consumer activation (Acquisition and Retention) along the … business segments, including results packaging and development of management presentations Team management and leadership, communications and building collaborative internal relationships Strong hands-on experience working with real-world advanced analytics and data challenges and managing a complex portfolio and multiple stakeholders in a fast moving, dynamic and matrixed team and business environment More ❯

solution. Collaborate with the technology teams to identify and leverage strategic data, frameworks and solutions. Design, develop, test and support commodity trading tools and systems encompassing pricing and risk analytics, data flow, data storage and distribution, visualization etc. Collaborate closely with developers, DevOps, technology leaders, risk managers and portfolio managers to ensure alignment between technology initiatives and business objectives. Required … Qualifications: Experience with other object oriented programming languages such as Java, C#, or C++. Experience with quantitative development in the financial industry and familiarity with pricing model, risk model, analytics, Greeks, value at risk etc. Familiarity with commodities trading business. Experience with security data, reference data, price data, risk measure data etc. Experience with user interface development and charting. Create More ❯

interpret data, analyze results using advanced statistical techniques, and deliver actionable insights through ongoing reports. You'll also be responsible for developing and implementing databases, data collection systems, and analytics strategies to maximize statistical efficiency and data quality. Main Duties Interpret data, analyze results using statistical techniques, and provide ongoing reports Develop and implement databases, data collection systems, data analytics More ❯

fantastic opportunity to apply your people and analytical leadership skills. What will you be doing? Line manage 1 analyst, delivering and driving a pipeline of retail and media consultancy analytics, as well as bespoke media evaluations. Use your experience and knowledge to identify and propose innovative analytical solutions, leveraging both Nectar and Sainsbury's data across a range of areas. … Lead the hiring process when needed, ensuring the recruited analysts are of the highest calibre. What we would like you to have: Strong experience, ideally in a client facing analytics role. Experience in grocery retail/consumer insight. Proven ability to explore business performance and deliver analysis that has commercial impact. Experience of line management is desirable. Excellent communication skills … AWS/Snowflake would be advantageous. A proven track record of process improvement or automation. Experience of customer data and the loyalty industry is desirable. Experience of SKU level analytics is desirable. This role will suit you if: You're looking to grow your career in a fast paced, commercial environment. You're developing your skills through exposure to interesting More ❯

and new infrastructure that is critical to the environment, economy and everyday living. We are primarily data driven with domain expertise delivering insights to water networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based. About the role: Working as part of a development and delivery team, designing, developing, implementing, testing, maintaining, supporting and …/deployment automation Experience of AWS services Free parking at our Belfast office Private medical and dental insurance 24 days+ annual leave Electric vehicle scheme Apply here A leading analytics provider in the wastewater space. Our insight helps wastewater utilities better manage their networks. UK Tel: ROI Tel More ❯

consistency of global ad account setups across platforms including Meta, CM360, Google Ads, and various DSPs. Champion the use of naming conventions, taxonomy frameworks, and platform governance best practices. Analytics & Reporting Use tools like GA4 and Adobe Analytics to create actionable insights and stakeholder dashboards. Collaborate with regions to drive visibility, consistency, and readiness across reporting outputs. Data Governance & Compliance … of ad serving platforms such as CM360, Flashtalking, Adform, or Innovid. Proven track record in implementing tag management solutions (e.g., Google Tag Manager, Adobe Launch). Proficient in web analytics tools (e.g., GA4, Adobe Analytics). Hands-on experience with DCO, MMPs (AppsFlyer, Kochava), SPO, Conversion APIs, and data c lean rooms. Familiarity with CDPs, CMPs, DSPs, and social/ More ❯

and insights to make better 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. As a Product Specialist - Lakebase you will be a deep technical expert in OLTP systems and in how customers can be successful with developing analytical and transactional … Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue Cross-Cloud Expertise: Help customers build a multi-cloud analytics ecosystem with Databricks at the centre and provide solutions for customers looking for disaster recovery, fault tolerance and backup Certification and/or demonstrated competence in OLTP systems along with … than 10,000 organizations worldwide - 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 Spark, Delta Lake and MLflow. To learn More ❯