Remote Data Engineering & Analytics Jobs

Hadoop Big Data Developer – Remote 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: Hadoop Big Data Developer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $86,000–$103,000 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 Hadoop Big Data Developer 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 professi

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we’re passionate about technology, collaboration, and continuous learning. We are looking for an experienced, hands-on, and ownership-driven Backend Engineer (Advanced) to join our team 🐶🚀. In this role you will design, build, and operate production-grade backend services and REST APIs with Python and FastAPI on Microsoft Azure, including a communications dispatch service that integrates messaging queues and external APIs such as Braze. You will work closely with development, data, and IT/DevOps teams, integrating backend services with Azure components, relational databases, third-party APIs, and data processes running on platforms like Databricks. Reliability, observability, and clean, maintainable code are at the core of this role. 🚀 What We Do Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client. Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems. Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster. Building deep learning models, we enhance visual recognition and automation for vari

Overview Adastra is seeking a Data Product Analyst (Data Science) to serve as a critical bridge between business stakeholders, data science and analytics teams, and data management groups. This role combines strong data analysis and data science capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design. You will frame business problems as analytical and modeling questions, apply statistical and machine learning methods to answer them, and translate the results into clear, actionable recommendations. In addition to championing data stewardship, the Data Product Analyst plays a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams. Primary Location: Across Canada Work Model: Fully Remote Employment Type: Contractor Vacancy Status: New RESPONSIBILITIES Act as the Data Subject Matter Expert to stakeholders with an understanding of data across the end-to-end data supply chain Translate business problems into well-scoped analytical and data science use cases, working with stakeholders and technical leads to define requirements, success metrics, and approach Collect, clean, and analyze data from multiple structured and unstructured sources to uncover trends, patterns, and actionable insights Apply statistical analysis and experimentation (e.g., A/B testing) and develop predictive and desc

UPSTARS – продуктова IT-компанія, з якою злітають і люди, і бренди. Наш основний фокус – технологічні рішення та B2B-послуги для міжнародних клієнтів. Запускаємо зіркові проєкти у сфері iGaming, які отримують визнання та найвищі оцінки профільних рейтингів ✨ І так, підтримувати легальний та прозорий ринок України – це маст хев, тому третіми в країні отримали B2B-ліцензію на надання послуг у сфері азартних ігор. У 2026 ми активно масштабуємо і проєкти, і дрім тім. Тому для підсилення Analytics департаменту шукаємо Middle Marketing Data Analyst . ✅ Твої майбутні задачі: аналізувати дані з трекінгових систем та інших джерел за запитом, відстежуючи поведінку користувачів на всіх етапах воронки: від візитів і кліків до реєстрацій та депозитів; розробляти дашборди та звіти, що дозволяють швидко виявляти проблеми у воронках і знаходити точки оптимізації маркетингових воронок; підтримувати бізнес-команди у плануванні, запуску та аналізі результатів експериментів, спрямованих на залучення й утримання клієнтів; тісно співпрацювати з дата-інженерами та вебаналітиками: оптимізувати збір і обробку маркетингових даних із різних джерел, а також удосконалювати data pipelines; підтримувати документацію в межах свого напряму в актуальному та структурованому стані. 💪 Твої скіли: 2+ роки досвіду в аналітиці різних напрямків; впевнене володіння SQL для отримання, обробки та аналізу даних; практичний досвід роботи з Tableau та створення інформативних візуалізацій; знання основ статистики та досві

Parra Consulting Group (PCG) is seeking a Data Success Engineer to support a federal client’s enterprise data and analytics program. This position works at the intersection of business analysis and data engineering, partnering with stakeholders to turn mission needs into reliable, usable data products that help people make better decisions. This successful candidate will be responsible for the following: Partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs. Facilitate information-gathering discussions, clarify requirements, and translate needs into user stories, acceptance criteria, source-to-target mappings, and technical specifications. Build and improve the data pipelines that deliver data to business users, including solutions built with Databricks. Use SQL and Python to query, profile, transform, and validate data, and troubleshoot data quality issues across multiple tables and sources. Ensure data solutions meet business requirements and help clients understand how their data products support business outcomes. Document data definitions and transformation logic, and explain technical findings in clear, non-technical language. Contribute to Agile planning, sprint activities, and continuous improvement efforts. Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Math, Physics, or Information Systems and Technology. Ability to obtain and maintain a Public

Reporting to VP, Analytics & Data Science, the Senior Data Scientist, Product Analytics will provide critical insights to business partners and strategic support to the executive team. You’ll have a significant impact on our product strategy with your high quality data/analyses, advanced analytics skills, and attention to detail. You’ll be the go to person for product performance, insights, and strategy. The ideal candidate is highly motivated and has a track record of using their technical skills and business acumen to quickly make an impact! ABOUT THIS TEAM The Analytics team is responsible for generating actionable insights and analyses for the business, AB testing, data driven decision making and supporting Product, Marketing, and Finance teams to create significant impact for our users and business. We also work very closely with Business Intelligence, Data Engineering, and Software Engineering teams to advance our data infrastructure. We have a cutting edge AB Testing program, automations, and advanced data tools to deliver high quality analyses very efficiently. WHAT YOU’LL DO Conduct in-depth analysis to uncover opportunities for improving our products. Build advanced models and analytics tools to boost our product insights/recommendations. Proactively come up with data driven insights/recommendations and communicate them clearly to the business stakeholders. Analyze A/B tests to drive user conversion and engagement. Develop dashboards to inform business decisions

We are looking for a hands-on Principal Data Architect to help shape and build the enterprise data foundation for the Trilon Digital Platform. This role will lead the design and evolution of our data architecture, enabling consistent, secure, and scalable access to data across our firms, enterprise systems, and digital products. The ideal candidate combines deep expertise in modern data platforms, data modeling, integration, and governance with a practical, delivery-oriented mindset. We need someone who can define the long-term data architecture while working directly with engineering teams to build solutions that deliver real business value. Key Responsibilities Enterprise Data Architecture: Define and evolve the data architecture for the Trilon Digital Platform, ensuring scalability, security, reliability, and flexibility. Data Platform & Infrastructure: Design modern cloud-based data platforms, including data lakes, lakehouses, warehouses, and scalable data processing capabilities. Data Integration: Establish reusable patterns for ingesting, transforming, and integrating data from enterprise systems, engineering applications, and third-party sources. Data Modeling: Develop consistent enterprise data models, common definitions, and relationships across key business domains, including projects, clients, employees, financials, and engineering data. Data Quality & Governance: Establish practical standards for data quality, ownership, lineage, metadata management, and a

Eaton ’s North American Sales Division is currently seeking a Multi-Tenant Data Center (MTDC) Regional Facilities Account Manager – West & Gulf Region to join our team. This is a home-based position where candidates must reside within 50 miles of the following locations to be considered for the position: Grapevine, TX; Austin, TX; Houston, TX; Salt Lake City, UT; Chandler, AZ; Las Vegas, NV or Reno, NV. What you’ll do: Position Overview: As the Multi-Tenant Data Center (MTDC) Regional Facilities Account Manager, you will be an integral part of the MTDC strategic account sales team focused on large sites in the assigned geography. The account responsibility includes a select number of strategic clients with data center facilities with large install-based presence. As a member of the MTDC Sales Team, you will lead all sales efforts for assigned MTDC facilities accounts for both product and service. You will be responsible for developing a keen understanding of the assigned account(s) business needs and drivers, decision making process and buying behavior and for leading the development and delivery of specifically tailored value propositions, accurate, recommended solution proposals and complete, customer life-cycle services. Solutions will encompass Eaton ’s entire electrical offer portfolio consisting of products, systems, solutions and services. In this function you will: • Call on key decision makers at the assigned accounts • Manage account relationships involving acco

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives. Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives. Labcorp is seeking a remote Data Manager to join our team! Work Schedule Monday – Friday, 8am – 5pm EST Job Responsibilities Act as the primary data management contact for assigned clinical studies, partnering with clients from study start-up through database lock and study completion. Lead study start-up activities, including review of study requirements, establishmen

Data Architecture & Data Engineering Leader Location : Remote, MUST be located in the United States. Prefer candidates who reside in the EST time zone or are willing to work EST hours. Position summary We are looking for a hands-on technical leader to design, build and run the data platform that powers our media, analytics, client reporting and new data products. This role owns the enterprise data architecture and data roadmap, leads data engineering, and builds the data foundation the business needs to launch scalable, marketable products, while making sure our data is secure, compliant, reliable and ready to scale. You will partner with business leaders across Media, Strategy, Client Services and Product to turn business needs into trusted, well-governed data solutions. You will also build and mentor a growing data team, including team members in Kraków, Poland. What you will do Data architecture and roadmap Define and own the roadmap for the enterprise data architecture, in line with company priorities and governance. Design the target data architecture, including ingestion, storage, data layers, data models, integrations and the serving layer for reporting and products. Document the architecture, data flows and source mappings so knowledge is shared and doesn't sit with one person. Set standards for data modeling, pipeline design, naming conventions, code quality, testing and deployment. Evaluate data technologies and vendors, make build-vs-buy recommendations, and ma

Description Sentra is the AI Data Readiness platform for enterprises deploying AI at scale. Sentra continuously discovers, classifies, and governs sensitive data across cloud, SaaS, data warehouses, and AI environments - giving security teams complete visibility into what AI systems can access, what they can expose, and where compliance violations exist. Unlike alternatives that copy data to vendor clouds or require customer-managed outpost infrastructure, Sentra provisions ephemeral scanners directly inside the customer's environment, delivering petabyte-scale classification at a fraction of the cost. Trusted by Lyft, SoFi, Munich RE, PennyMac, Glovo and others. Sentra is hiring its first US Classification Data Analyst to be the go-to expert on data classification for our US customers. You will join the Solutions Architecture team, reporting to the Director of Solutions Architecture, and work closely with our R&D Data Analysts team in Israel. Classification is what customers judge us on during proofs of value (PoVs) and renewals: do our results match their data? You will make sure the answer is yes. You will own classification requests for US PoVs, validate results before customer calls, tune classifiers using proven procedures, and bring the hard problems to R&D with everything they need to solve them. This is a high-impact role at a fast-growing startup. You will help build the US classification function from the ground up, and your scope will grow as you take on m

IPEX is one of North America’s leading providers of advanced plastic piping systems. Our mission is to shape a better tomorrow by connecting people with water and energy. We currently have an exciting opportunity as a Director, Data Center Strategy & Market Development. This role is based is a the remote role based in the USA or Canada and reports to the Vice President, Transformation Office. Do not miss the opportunity to join a diverse group of people-centric professionals, thought leaders, and rapid thinkers—entrepreneurs in spirit and status quo‑fighters. Job Summary: The Director, Data Center Strategy & Market Development – North America will lead the development and execution of IPEX ’s strategy to capture the rapidly growing data center opportunity across Canada and the United States. Operating across IPEX ’s traditional market segments, the Director will take an end-to-end view of the data center ecosystem, identifying where IPEX can create value across site infrastructure, building systems, cooling, water treatment and other emerging applications. The Director will define where IPEX should compete, develop the value proposition and portfolio roadmap required to win, and mobilize the organization behind a clear multi-year growth plan. A critical component of the role will be developing relationships and influence with hyperscalers, colocation providers, engineering and design firms, developers, contractors, technology partners and other key decision-makers. Th

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work. With over 45,000 professionals dedicated to Data & AI, Accenture ’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are: As a Data Engineering, Management & Governance professional, you will play a pivotal role in building data solutions for ingestion, transformation, and structuring data, utilizing both vendor and open-source tools for building, migrating, and deploying data pipelines. Position Responsibilities: Apply data engineering principles to create reusable workflows for data ingestion, quality assurance, transformation, and optimization. Design, Build and test scalable data pipelines using extract, transform, and load tools, including validating outputs against source totals (e.g., financial balances, transaction counts). Document requirements and technical design documents. Deploy solutions to production environments using CICD dev ops and cloud architecture principles. Migrate data from legacy data warehouses using cloud architecture principles Automate the flow of data for consumption. Build business processes that enable data governan

Pay Plan Title: Quality Data Analyst II Working Title: Quality Data Analyst II – Performance Measures FLSA Status: Exempt Posting Salary Range: $67,524 - $85,222 Office Location: Remote within North Carolina. POSTING DETAILS: Make an Impact Trillium Health Resources is a Tailored Plan and Managed Care Organization (MCO) serving 46 counties across North Carolina. We manage services for individuals with serious mental health needs, substance use disorders, traumatic brain injuries, and intellectual/development (IDD) disabilities. Our mission is to help individuals and families build strong foundations for healthy, fulfilling lives. Why Work for Us ? Trillium believes that empowering others begins with supporting our team. We offer our employees: A collaborative, mission-driven work environment Competitive benefits and work-from-home options for most positions Opportunities for professional growth in a diverse inclusive culture Every day, our work changes lives – from children thriving through early intervention and school-based therapies, to adults with severe mental illness living independently and contributing to their communities. If you are looking for a unique opportunity to make a tangible impact on the lives of others, apply today! What We’re Looking For Trillium Health Resources has a career opening for a Quality Data Analyst II – Performance Measures to join our team! The Quality Data Analyst II – Performance Measures is responsible for conducting data analysis activit

Become a part of our caring community SENIOR DATA ANALYST — WORKFORCE PLANNING CenterWell Pharmacy, a Humana company ABOUT THE ROLE Every prescription CenterWell Pharmacy fills depends on a chain of people being in the right place at the right time. The Workforce Planning team makes sure that capacity exists before the demand arrives. The team conducts long-term forecasts that impact hiring, mid-term capacity plans that shape staffing strategy, and short-term plans that hold service levels week to week. If you have done demand planning or S&OP for a physical supply chain, this is the same discipline — our constrained resource is licensed, trained people instead of inventory. We are building this function from the ground up. The architecture, the metrics, and the tooling are not decided yet, and we are hiring two Senior Data Analysts to help decide them. WHAT YOU WILL DO Turn messy, multi-source operational data into planning inputs the business can act on Partner with operations, finance, and department leaders to understand what they actually need to decide Build the tooling and data products that let planners and leaders answer their own questions Bring rigor to how we measure ourselves — forecast accuracy, capacity use, cost per prescription, and the drivers underneath them TWO WAYS IN Every analyst here shares the work above. Beyond it, you will anchor in one of two focus areas. Focus Area 1 — Data Engineering & Architecture You would own how planning data reaches

Everfi is a leading education technology company founded in 2008 that delivers digital learning solutions focused on real-world skills. The company provides scalable education in areas such as financial literacy, health and wellness, andworkplace readiness. We are looking for a Principal Data Engineer to join our Data Engineering team as a senior individual contributor and technical leader. This is a high-impact role for an engineer who thrives on owning complex and consequential data engineering challenges — from architecture through production — while also elevating the craft and capabilities of the engineers around them. Principal Data Engineer Compensation and Benefits Target base salary range: $160,000 to $170,000 depending on experience and education. Everfi may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations. This role is eligible to participate in the Corporate Bonus Plan 100% Remote position Health, Dental, and Vision insurance 401(K) with matching contribution Flexible Paid Time Off (PTO) Principal Data Engineer Responsibilities Distinguished Technical Contribution Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture, and solutions with significant downstream product or business impact Identify and address difficult technical problems within the data platform, including scalabili

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we’re passionate about technology, collaboration, and continuous learning. We are looking for an Data Scientist Senior – Customer Segmentation & Classification (RTM) to join our team 🐶🚀. In this role, you will develop the RTM (Route-to-Market) customer characterization models, translating an end-to-end understanding of the P&L into a formal optimization function that determines the optimal service model for each customer based on profitability, cost-to-serve, and potential. This role sits at the intersection of operations research, finance, and commercial strategy. Today, the trade-off between service time and revenue per point of sale is handled heuristically. Your mission is to formalize it mathematically and make it scalable across countries. You will work closely with business and finance stakeholders, as well as Data Engineers and Analytics Engineers. Strong analytical rigor, ownership, and the ability to communicate with non-technical audiences are essential 🚀 What We Do Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client. Offering comprehensive Data Engineerin

Fresh Graduate Oracle DBA Introduction: We are looking for young enthusiastic individuals who have good problem solving skills & eager to learn new technology. If you are passionate about learning and implementing new technology, we would love to work together with you. Job Description : People applying for this job would be working as L1 DBA support & would be responsible for following activities. Install, upgrade, and migrate databases. Daily Monitoring for Production Databases. Follow Standard Operating Procedures for supporting Database activities. Enforce teams to follow database standards. ·Manage database Users. ·Space Management Activities. Diagnose and troubleshoot database errors if any. Monitor Production DB alerts & perform necessary actions as & when needed. ·On-call support. Desirable skills/Preferred Qualifications: Minimum Bachelor's Degree in Computer/IT/Statistics. Basics concepts of Operating System & Distributed Operating System. ·Basics of Linux, shell scripting. ·Basics of SQL. ·Basics of RDBMS. Any Programming language like Java/Python/GO would be added advantage. Any Database exposure (Oracle, MySQL, MS SQL) would be added advantage. Good Communication skills (thai) & little bit exposure to English. Should be a good team player & Individual contributor. Originally posted on Himalayas

Position Summary... What you'll do... Retail AI Foundations is part of the Retail Intelligence group within Walmart’s AI & Data organization. The team develops and deploys Generative AI and machine learning platforms, models, and services across Walmart’s highest-impact growth pillars—including AI Shopping, Social Commerce, Walmart Connect advertising, creator experiences, marketing, and rich-media content. Our Applied Science and ML Engineering teams build AI capabilities across Large Language Models (LLMs), image and video generation, and multimodal understanding. We partner with talented scientists, engineers, product managers, and business leaders to improve experiences for customers, associates, advertisers, and creators, while delivering measurable business outcomes. We are committed to exceeding industry standards through cutting-edge research, strong engineering execution, and responsible AI practices. Role Summary The Senior Manager, Data Science will lead an Applied Science and ML Engineering team within Retail AI Foundations. This leader will set the scientific and technical direction for production AI systems, working backward from customer needs and business priorities to define the problems, success measures, and investments that matter most. What You’ll Do Lead, mentor, and grow a high-performing team of Applied Scientists and ML Engineers. Define the technical roadmap and science investment strategy for LLMs, image and video generation, multimodal understa

About The Opportunity This is a pipeline requisition for future opportunities. While we are not hiring immediately, we regularly seek top talent for this role and encourage you to express interest. Netrix Global is looking for a AWS Data Engineer with hands-on AWS experience for the Professional Services – Data Intelligence department. The Data Engineer will be responsible for supporting the development, maintenance, and continuous improvement of the client's data platform. The candidate should be comfortable working across multiple aspects of data ecosystems, including Lakehouse architectures, data pipelines, data modeling, and cloud-based analytics solutions. Often, a Data Engineer will also serve as a critical communicator between other data science team members, working directly with the data scientists who develop the models for building AI systems and the people who construct and run them. About The Team Our team works remote base, in a collaborative environment We have a strong team with opportunities to expand their skillsets and gain further knowledge across multiple parts of the organization How You Will Make An Impact Identifying, creating, preparing data required for modern Data solutions and Data for AI Designing ETLs and ELTs for data transformations Designing, building and management of Datalakes architectures Working with Apache Hadoop projects (Spark, Hive, Pig, Oozie, Airflow, etc) Integrating and testing Data solutions Creating and documenting the tests to

We are looking for an experienced Senior SAP Datasphere Developer / Solution Architect to design, develop, and implement scalable data architecture and analytical solutions within a complex SAP environment. The role focuses on SAP Datasphere architecture, advanced data modeling, semantic layer development, and data integration to support enterprise analytics, reporting, and business planning requirements. Working closely with business stakeholders, data engineers, and SAP technical teams, the architect ensures efficient data management, reliable integration, and alignment with enterprise architecture standards and business objectives. Key Responsibilities Design and implement end-to-end SAP Datasphere architecture, ensuring scalability, performance, and alignment with enterprise data strategies. Develop and maintain advanced data models, analytical datasets, and semantic layers within SAP Datasphere. Lead solution design and technical implementation of SAP Datasphere capabilities, including data integration, transformation, and virtualization. Design and optimize data flows, views, analytical models, and data pipelines across SAP and non-SAP environments. Establish data modeling standards, governance principles, and best practices to ensure consistency and reusability. Integrate SAP Datasphere with SAP S/4HANA, SAP BW/4HANA, SAP Analytics Cloud (SAC), and other enterprise data platforms. Provide technical leadership, architectural guidance, and design reviews for development

This is a remote position. REMOTE / WORK FROM HOME POSITION Before applying, please note: The entire application process must be completed in English. Fluent written and spoken English is required and will be evaluated. Applicants must be independent freelancers, not represented by another agency. WHO ARE WE? FOUNTAIN FORWARD We are a hyper-motivated crew of internet marketing experts based in Houston, Texas. We're on a mission to provide truly profitable data-driven marketing solutions, primarily for The Automotive industry. We love working together to accomplish one thing: persuade people to do business with our clients, and do it more often. Seeing our clients make more money and collaborating together to accomplish their goals is what drives us to slam down a couple of espressos every morning and fire up our brain cells. Job Overview / Purpose Statement The Data Engineer designs, builds, and maintains data infrastructure to support digital marketing strategies. Working closely with analysts, CSMs, and cross-functional teams, this role ensures data is collected, stored, and processed efficiently and accurately. It also supports the growth of the Data Management & Visualization team by developing scalable pipelines, ensuring quality, and preparing data for dashboards and reporting. Responsibilities & Duties Database Management: Develop, test, and maintain scalable data pipelines to ingest, clean, and transform data from various sources (e.g., CRM systems, Google Ana

This is a remote position. What We Do At Outsource Access , we help our Administrative Operations teams stay organized and revenue-ready. We don’t just move text from one screen to another—we make sure every client account is billed accurately and every piece of data is exactly where it needs to be to keep the engine running. How You’ll Make a Difference The Auditor Mindset: You’ll maintain a 99% accuracy rate, acting as the final line of defense against billing errors by meticulously verifying data before it hits the system. Mastering the Flow: You will navigate a complex ecosystem of 32 distinct client accounts, ensuring that information from Word, PDF, and Excel files is seamlessly transitioned into our internal management system. Beating the EOM Crunch: When the End-of-Month pressure hits, you’ll be the reliable force that clears the queue and meets critical billing deadlines without breaking a sweat. Organized Excellence: By expertly managing shared Outlook folders and sub-structures, you ensure that no client file is ever lost and every workflow remains crystal clear. Requirements Is This You? Precision-Obsessed: You are someone who finds a weird sense of satisfaction in repetitive tasks being done perfectly; "good enough" isn't in your vocabulary. The Context Switcher: With 32 different client protocols to manage, you possess the mental agility to jump between different formats and rules without getting confused. Deadline-Driven: You don't shrink away from a high-volum

Overview The Senior Data Analyst will lead the design and delivery of advanced analytics solutions that drive strategic decision-making and operational efficiency. This role requires strong technical expertise, business acumen, and stakeholder engagement skills to transform complex data into actionable insights. Responsibilities Create reports by analysing data from multiple sources for various stakeholders Lead the development of dashboards, reports, and data models to support business strategy Perform deep-dive analysis to uncover trends, anomalies, and opportunities Leverage AI tools and automation to streamline data preparation, speed up querying, and optimize reporting workflows Collaborate with cross-functional teams to define KPIs and reporting standards Ensure data integrity and consistency across systems and reports Mentor junior analysts and promote best practices in data analysis and visualization Identify and implement process improvements using data-driven approaches Present findings to senior leadership with clear business impact narratives Maintain process documentation to support transparency and continuous improvement Qualifications Degree qualified, preferably with a strong focus on business and technology Advanced proficiency in Excel, Power BI, Power Query, and Google Suite tools Experience using AI tools to automate data transformation and accelerate analytics workflows Strong experience in stakeholder engagement and cross-functional collaboration Proven