Remote Data Engineering & Analytics Jobs

Senior Data Center Network/ Mellanox Engineer Location: Remote, United States Schedule: Participation in a 24x7 operational support model with weekend coverage required Need to be strong in: BGP EVPN/VXLAN, Troubleshooting, Firewall, Automation (ansible/python). Overview Simple Solutions searching for Senior Ethernet Network Engineers to support large-scale AI and high-performance computing (HPC) data center deployments. This role will focus on deploying, validating, troubleshooting, and operationalizing complex Ethernet fabrics supporting GPU compute clusters. The ideal candidate will bring deep expertise in modern data center networking, automation, Linux administration, and large-scale leaf-spine architectures. This position offers the opportunity to work on cutting-edge AI infrastructure projects while partnering with engineering teams, customers, and data center operations personnel to deliver reliable and repeatable deployments. Responsibilities Perform cluster bring-up activities using approved deployment methodologies, automation workflows, and configuration standards. Design and validate large-scale Ethernet fabrics utilizing CLOS and leaf-spine architectures. Develop IP addressing plans and validate network topology, connectivity documentation, and infrastructure designs. Build, provision, test, and validate network switch configurations in lab and production environments. Configure and troubleshoot inter-node networking, including RoCE-enabled environments. Develop

About the team We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We work across personalization, recommendation, fraud detection, and some GenAI, through real-time, near-real-time, and batch pipelines. The team is a blend of Python backend engineers, ML engineers, QA (manual and automation), a data engineer, and data scientists. Our shared mandate is to take experimentation from our data scientists and turn it into robust, production-grade systems, either as standalone services or integrated into wider platforms. The role You will build the data pipelines that power our experimentation and production systems, the backbone behind fraud detection, recommendations, and personalization. You will work primarily with Kafka (sometimes Flink), Spark on Databricks, and Airflow, modelling and optimizing data for both experimentation and production serving, and partnering closely with data scientists and backend engineers on data contracts and reliability. Responsibilities • Build and operate batch and streaming data pipelines (structured & unstructured data) • Work primarily with Kafka, Spark on Databricks, and Airflow • Model and optimize data for both experimentation and production serving • Partner with data scientists and backend engineers on data contracts and reliability • Own pipeline quality: testing, monitoring, and performance • Take part in the teams on-call rotation for the pipelines you build and operate Requirements • 3+ years of

NeoWork is hiring Data & Reporting Analysts to turn operational and sales data into clear, actionable insights for U.S. clients. You will build dashboards, monitor KPIs, and help teams move from reactive to proactive decision-making. NeoWork is a global staffing and operations partner that builds dedicated remote teams for fast-growing U.S. companies. Our teammates work directly inside our clients' teams and tools, while NeoWork takes care of recruiting, HR, benefits, and ongoing support. Key Responsibilities Build and maintain dashboards and recurring reports on key business metrics • Clean, validate, and analyze large datasets from CRMs, dialers, and operational systems • Monitor KPIs daily and flag trends, risks, and anomalies • Translate data into clear recommendations for managers and client stakeholders • Automate manual reporting processes where possible • Document data definitions and reporting logic Requirements 2+ years of experience in data analysis, reporting, or business intelligence • Advanced Excel or Google Sheets skills (Power Query, pivot tables, formulas) • Experience with SQL and/or a BI tool such as Power BI, Tableau, or Looker • Strong analytical thinking and attention to detail • Good written and spoken English for presenting insights • Ability to work independently and prioritize requests • Based in Mexico, with a reliable home office setup and stable internet connection Nice to Have Experience with Salesforce or HubSpot reporting • Python or scrip

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs . We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs , we build observab

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth. We are seeking a highly skilled Senior Data Engineer with expertise in modern data platforms and semantic technologies to design and build scalable data solutions that power enterprise analytics and knowledge representation. This role sits within a Microsoft Azure environment, and combines strong data engineering fundamentals with specialized experience in graph databases, ontologies, and semantic modeling to help the organization structure and connect complex data across domains. What You'll be Doing: Design, build, and maintain scalable data pipelines and lakehouse architectures using Azure Databricks Implement and manage data governance, access control, and lineage using Unity Catalog, aligned with Microsoft Purview Design and develop semantic data models to represent complex business domains and relationships Build and maintain knowledge graphs using RDF (Resource Description Framework) and OWL (Web Ontology Language) standards Design and implement graph database solutions using Neo4j to support relationship-driven data use cases, deployed on Azure infrastructure Develop ontologies and taxonomies to enable consistent data interpretation across systems Translate business

Application Deadline: 10/29/2026 Address: VIRTUAL59 - REMOTE/TELETRAVAIL - ON - BMO Job Family Group: Customer Shared Services Provides support and delivers specific operational processes to ensure timely and accurate settlement of Security, Derivative, Foreign Exchange and Money Market transactions executed globally, and confirms the activity is accurately recorded in the bank's book of records. Specific operational processes include pre and post settlement support related to account opening, confirmation, cash management, margin, and collateralization. Also provides support for specialized operations - Asset Servicing (corporate actions/entitlements), Correspondent Banking Services, and the Wire Payment Operations hub for the bank. Ensures compliance with all regulatory topics and reporting requirements related to the products and processes it supports. Gathers and formats data into regular and ad-hoc reports, and dashboards. Supports change management of varying scope and type; tasks typically focused on execution and sustainment activities. May function as a problem-solving resource for more junior staff. Organizes work information to ensure accuracy and completeness. Executes routine tasks such as service requests, transactions, queries etc. within relevant service level agreements. Follows documented policies and procedures to execute day to day transactions, activities, processes and ensure all Service Level Agreements(SLAs) are met. Checks and reconciles information a

About the role An engineer owning the data and BI layer of our CTRM platform end to end: getting market and trading data in, modelling it, keeping it correct, and putting it in front of traders, analysts and management in a form they use every day. You work directly with traders, operations, the commercial team, the senior data scientist and the founders — no account manager in between. Much of the platform is still being built, so you will make real architecture and tooling decisions rather than inherit them. Some sources are already in the data lake; many are not — a meaningful part of the work starts with vendor APIs, raw exports and spreadsheets someone has maintained by hand for years. What the work looks like The platform we are building exists so that anyone involved in a deal can see prices, flows, positions and margin across the chain, at any moment, on agreed and versioned definitions. Your part is the data underneath that and the decision-support layer on top: market intelligence from third-party providers joined to our own trading and operations data, across crude oil and refined products. A dashboard here is only as good as the number behind it. Traders act on spreads and margins within minutes; if a price series is stale, a unit is wrong or a cargo is counted twice, someone loses money before anyone notices. Scope Ingestion pipelines (ELT/ETL) from internal systems and external market data providers — Kpler, Platts / S&P Global, OPIS, Argus, Bloomberg — incl

Participate in the migration of a large-scale analytical platform from BigQuery to Databricks Design and implement scalable Lakehouse architectures using Databricks and Delta Lake Analyze existing ETL / ELT workloads and define migration approaches Develop and optimize data pipelines processing large volumes of retail and analytical data Implement incremental processing strategies and scalable transformation frameworks Build and maintain Spark-based data processing solutions using PySpark Design and maintain medallion architecture layers including Bronze, Silver, and Gold Implement data governance and security best practices using Unity Catalog Collaborate with Data Science, Analytics, Product, and Customer Engineering teams Participate in architecture discussions and technical solution design Develop reusable data platform components and engineering standards Conduct code reviews and contribute to platform reliability and maintainability Troubleshoot and optimize complex SQL and Spark workloads Support production deployments and platform modernization activities 5+ years of professional experience as a Data Engineer Strong programming skills in Python and advanced SQL Hands-on commercial experience with Databricks Strong knowledge of Apache Spark, primarily PySpark Experience designing and building modern cloud-based data platforms Experience developing ETL / ELT pipelines and large-scale data processing solutions Hands-on experience with Delta Lake Experience with Spark Dec

Position Title: Data Scientist Position Overview: We are seeking a Data Scientist to support reclassification efforts across federal job series. The incumbent will apply advanced data analysis, statistical modeling, and computational techniques to workforce data and position descriptions, ensuring alignment with classification standards and helping inform accurate, data-driven decisions. Required Qualifications: Bachelor’s degree in Data Science, Statistics, Computer Science, Human Resources Analytics, or a related field (Master’s preferred). • Strong proficiency in programming languages such as Python or R. • Experience with natural language processing (NLP), machine learning, and data visualization. • Knowledge of SQL and database management. • Ability to interpret and present complex data clearly to both technical and non-technical audiences. • Strong analytical, problem-solving, and communication skills. Key Responsibilities: Collect, clean, and analyze large datasets related to position descriptions, job duties, and workforce information. • Use statistical methods, natural language processing (NLP), and machine learning techniques to identify trends, patterns, and commonalities across job roles. • Conduct text analytics on position descriptions to map tasks, skills, and responsibilities to appropriate job series and grade levels. • Collaborate with human resources professionals, subject matter experts, and leadership to validate data-driven findings. • Develop dashboards

Profile: Senior hands-on architect who can design solutions, explain architectural choices, build prototypes, and guide teams through implementation. Role Overview We are looking for a hands-on Data Platform Architect to help establish and scale our Data & AI Practice. The role combines modern cloud data architecture, technical solutioning, client advisory, and engineering leadership to deliver enterprise data modernization and AI-ready platforms. Key Responsibilities Customer Obsession: Work backwards from customer and end-user needs to design solutions that deliver measurable business value. Build trusted advisory relationships with customers, guiding technology decisions and long-term architecture strategy. Platform Architecture: Design scalable, cloud-native data platforms covering ingestion, integration, lakehouse/warehouse, processing, governance, analytics, and AI enablement. AI-Ready Architecture: Design data integration patterns supporting enterprise AI, including RAG, LLM integration, agentic workflows, and MCP-based connectivity. Hands-on Solutioning: Lead technical discovery, architecture workshops, POCs/MVPs, and guide engineering teams through implementation. Modernization: Architect migration and integration of legacy enterprise data into modern cloud platforms, incorporating MDM, Data Quality, and Governance. Practice Development: Build reusable reference architectures, accelerators, and implementation patterns, and contribute to technology partnerships an

We are seeking a Regular Data Engineer to join our team. You will be responsible for managing critical ETL processes to acquire data from various sources, analyze it, and deliver accurate reports to clients on a regular basis. This role requires a commitment to service availability 24/7, including on-call duties, to ensure timely and reliable delivery of reports with high confidence in the accuracy of figures. Main Responsibilities: Monitoring Checks: Perform regular monitoring of data processes to ensure smooth operation and identify potential issues. Incident Support and Solving: Provide prompt support for incidents, troubleshoot problems, and implement solutions to minimize downtime. Continuous Improvement: Identify opportunities for improving the production environment and implement changes to enhance efficiency and reliability. Failure Management: Proactively avoid and capture failures in data processing to ensure uninterrupted service. Communication & Documentation: Maintain clear and effective communication with stakeholders and document processes, incidents, and solutions. KPI Monitoring: Monitor key performance indicators, including data set availability percentages, to ensure service quality. Tickets Management: Manage tickets by creating, assigning, following up, and resolving issues in a timely manner. Knowledge Base Management: Develop and maintain a comprehensive knowledge base to support ongoing operations and incident resolution. Project Technology: SQL Se

Job Title: Salesforce Data360 QA Job Description We're Concentrix . The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix ’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our gamechang

The Data and AI Architect - Manager is a pivotal leadership role shaping and scaling enterprise data, analytics, and AI solutions that advance business strategy and deliver measurable results. As a trusted advisor and recognized subject matter expert, this leader helps clients modernize complex data estates and accelerate digital transformation across the Microsoft ecosystem, with a heavy focus on AI-native data platform solutions. This leader drives end-to-end architecture and solution design—connecting business priorities, operating models, data and AI platforms, and application landscapes to create secure, scalable, and high-performing solutions tailored to each client environment. By turning complex challenges into clear, actionable data and AI architectures, this role establishes the technical foundation for sustained business value. Come Join Us The Data and AI Architect - Manager will lead the architecture and technical delivery of high-value data and AI solutions—turning bold designs into scalable, secure, and measurable client outcomes. This role provides hands-on technical oversight from architecture through implementation, drives critical decisions with delivery teams, and partners directly with senior client leaders to navigate complexity, accelerate execution, and ensure solutions deliver lasting business impact. What you'll do Lead enterprise data, analytics and AI architecture, aligning technical decisions with client strategy, delivery priorities, and industry

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth. We are seeking a highly skilled Senior Data Scientist with expertise in Generative AI, machine learning, and agentic systems to drive enterprise-wide automation and intelligent decision-making. This role combines deep technical capabilities with strategic thinking to identify, design, and implement scalable AI solutions across business operations. Key Responsibilities Analyze enterprise-wide business processes, subprocesses, and task-level activities to identify automation opportunities Design and implement AI-driven strategies using GenAI and agentic systems to optimize operations Develop architecture mappings and frameworks for scalable, intelligent automation across domains such as procurement, inventory, and operations Translate business needs into actionable AI solutions aligned with organizational goals Design, build, and deploy machine learning and NLP models for real-world business applications Develop GPT-based solutions, including: Text generation and summarization Contextual search and embeddings Multilingual translation systems Continuously improve model performance, scalability, and accuracy Build and maintain end-to-end data pipelines to support AI and analytic

Schedule: Mid-shift Employment Type:Full-time Location: Remote, Philippines About Expedock We are a tech-enabled workforce augmentation platform leveraging top 1% offshore talent & cutting edge technology to enable businesses to unlock their full potential Who We Need We are seeking a detail-oriented, technical QA / Data Collection Engineer to assist with test execution, issue reporting, and hardware-level troubleshooting. In this role, you will run proprietary collection software, execute structured test plans, and perform exploratory testing to ensure seamless performance across target environments. The ideal candidate possesses a strong technical foundation in PC hardware and basic networking, excellent troubleshooting skills, and the ability to communicate clear, actionable bug reports in written English. Responsibilities Software Setup & Maintenance: Install, configure, and maintain collection and QA software on personal hardware that meets target operational specifications. Test Execution: Perform structured test plans alongside ad-hoc exploratory QA before and during data collection runs. Issue Reproduction & Logging: Identify and reproduce bugs, gather necessary crash logs and screenshots, and write clear, step-by-step reproduction instructions. Communication & Escalation: Document and report findings concisely via Slack in written English, escalating critical issues to team leads as appropriate. Hardware & Network Validation: Ensure test hardware

We’re looking for people who put their innovation to work to advance our success – and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. Join nVent as key technical lead —partnering with customers, sales, and engineering to turn real-world challenges into practical data center solutions. We’re looking for mechanically minded problem-solvers who enjoy being in the field, understanding how systems fit together, and using that insight to deliver meaningful solutions to our customers. WHAT YOU WILL EXPERIENCE IN THIS POSITION: Serve as a domain authority for nVent Data Center Solutions products, including their application, for nVent functions including Sales, Product Management, Operations, etc in the Central US and Latin America region. Provide first-line product support by providing help to customers and colleagues using nVent Data Solutions and Electrical Connections - new products and services Evaluate customer RFQs and build costing/quotes with technical and commercial content Provide technical application assistance to identify modified and engineered products based on customer specifications and application requirements! Prepare and submit quotations & proposals of non-standard products using internal CPQ and ERP systems. Conduct product training for customers and train distributors on quoting tools. Prepare compliance documents against customer specifications. Lead str

Location: Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is required. The candidate must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access. The Opportunity TeamWorx Security is seeking a Senior Data Scientist to develop analytical and AI-enabled capabilities on a federal enterprise data modernization effort. The Senior Data Scientist will work with business teams, technical staff, and government stakeholders to turn mission questions into analytical approaches, build and validate models on governed enterprise data, and deliver results decision-makers can act on and defend. The work spans multiple business lines, so priorities shift as different teams need help. This role rewards someone who can move between problem domains, learn a new business area quickly, and apply the method that best fits the stakeholder's or end-user's question. Success in this role requires initiative, ownership, and clear communication. You will work through ambiguity, identify needs or risks before they become problems, and move work forward without waiting for detailed direction. What You'll Be Doing Translate mission and business questions into analytical approaches, working directly with government stakeholders and subject matter experts to define the problem before modeling it. Perform exploratory and statistical analysis, predictive modeling, forecasting, scenario analysis, and feature engineer

The QC Specialist is responsible for planning, executing, and documenting Testing activities for EDC and other systems. This role ensures that systems are tested and programmed to specification, supporting regulatory requirements and high-quality clinical trial data collection. The QC Specialist works closely with Data Management, Database Development, and external partners to verify that system builds meet specification expectations prior to study deployment. and programmed to specification, supporting regulatory requirements and high-quality clinical trial data collection, and external partners to verify that system builds meet specification expectations prior to study deployment. Originally posted on Himalayas

About the role As a Project Manager at Infinite Lambda , you'll be a pivotal force behind the successful delivery of large-scale, complex client projects for our most important clients. You will be at the forefront of business transformation, holding ultimate accountability for project execution and owning the entire project lifecycle. You will ensure all projects and workstreams deliver tangible, measurable business value, on time and within budget, helping clients innovate and compete. You are a key partner in our client relationships, working with our Account Managers to nurture long-term partnerships and spot new opportunities, contributing to the growth of our client accounts. You will use your positive and collaborative attitude to foster a culture of excellence, self-organisation, and high accountability across delivery streams. Your empathy and problem-solving skills will be essential as you guide your team to become more self-organised and accountable, celebrating successes along the way. Anticipated start date: ASAP Responsibilities Lead the end-to-end delivery of client projects using Agile or Waterfall methodologies (depending on the best fit with the client), expertly tailoring your approach to the specific needs and phase of each project. Develop and maintain clear scope and timelines, ensuring you can protect projects against scope creep and provide alternative solutions to recover as needed. Gather, analyse, and document business requirements, working closely

Annual salary: up to £45,000.00 Data Analyst Location: Remote role but travel across national sites Salary up to £45,000 per annum plus £4,000 company car allowance Contract: Full time – 2-year fixed term contracts, Monday to Friday About the Role: Mears Housing Management is looking for a Data Analyst to help deliver the Property Management Platform (PMP), a transformation programme for the Asylum Accommodation & Support Services Contract (AASC). The Data Analyst will help turn PMP data into clear insight, support better data quality, stronger reporting, benefits tracking and more confident operational decision-making. PMP is being introduced to provide a single, more reliable way to manage property, occupancy and operational information across AASC. It will improve data quality, strengthen reporting and support more consistent ways of working across teams. Key Responsibilities Collect, organise, analyse and interpret programme data. Identify issues, trends, risks and insights to support decision-making. Develop reports, dashboards and KPI information. Support data validation, reconciliation and quality assurance. Recommend improvements to data, processes, controls and reporting. Role Criteria: Experience analysing, validating and reporting on complex, multi-layered operational or project data. Strong SQL skills are essential, with practical experience writing queries and working across multiple SQL views to: Extract and filter data, Join data from multiple tables, Summa

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState. We turn that attention into real outcomes for our partners, some of the world's leading companies. Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment. We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries. WHY JOIN US? You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato . YOUR ROLE You'll build the models that decide which carrier each auto insurance shopper sees on our click wall. The goal is to send every user to the carrier most likely to convert them, so carriers see our traffic convert and raise their bids. You'll also own the buying models behind our media spend, which are held to ROAS. Carrier conversion data (quotes, policies and acquisition cost) is now coming back to us, and you'll be the one who puts it to work in production. The hard part is the data. Outcomes land weeks or months after the click, many sessions ar

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Senior Data Engineer - Hadoop Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $145,000–$165,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an experienced Senior Data Engineer - Hadoop to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Five or more years of professional experience designing

Hello. We’re Teya . Teya was founded on a simple belief: local businesses deserve better. They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business. Teya exists to change that. We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work. We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand. If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you Senior Data Analyst – Enterprise Risk The role Teya is building its Enterprise Risk Management Framework (ERMF) and strengthening how risk information is brought together, analysed and reported across the business. As Senior Data Analyst, you will play a key role in turning risk data into reliable measures, meaningful insights and actionable reporting. You'll work closely with the Head of Enterprise & Operational Risk and stakeholders across Credit, Fraud, AML, People, IT, Operations and Finance to understand t

First Intuition is an award-winning, fast-growing accountancy training and apprenticeship provider, recognised by Ofsted as 'Outstanding'. Driven by our people-first approach, we help learners, employers and colleagues thrive through exceptional training and support. We're looking for a detail-oriented Data and Compliance Administrator to join our Central Apprenticeship Team. Playing a key role in supporting our apprenticeship provision, you'll help ensure the accuracy and integrity of learner data, funding claims and compliance processes across the FI network. This is an excellent opportunity for someone who enjoys working with data, has a keen eye for detail and takes pride in delivering high standards. In return, you'll join a supportive team where your work has a direct impact on maintaining the quality and compliance of our award-winning apprenticeship programmes. Duties and responsibilities include: Completing internal audit checks on apprentice evidence packs, to ensure eligibility for funding Processing ILR data to make monthly funding claims for all apprentices Management of E-Portfolio and Apprenticeship MIS system, ensuring data integrity at all times Taking responsibility for individual Centre(s) audit feedback, SLAs and compliance queries – ensuring that all advice adheres to the Apprenticeship Funding Rules Maintaining strong working relationships within the Central Apprenticeship Team and the Wider FI Network Attendance and participation in network meetings Mon