Remote Data Engineering & Analytics Jobs

Niji's strength lies in combining digital expertise—consulting, design, AI, data, tech, integration, and cybersecurity—to deliver concrete and innovative solutions for our major accounts and mid-market enterprise clients. Our projects integrate AI to enhance performance, boost productivity, and facilitate decision-making. Niji's Data practice is above all a human-sized, multidisciplinary team of consultants and experts who advise and support our clients through every stage of the data lifecycle: from collection to value creation through innovative services, storage architectures, and service design. Our consultants are based in the Ile-de-France region as well as regional hubs (Nantes, Rennes, Lille, Lyon, and Bordeaux). Our 4 directors—established experts in data governance, data science, AI, and AI industrialization methodologies (MLOps, DataOps)—are looking for complementary new talent across multiple qualification and seniority levels to work in synergy with Niji's broad range of skills in development, communication, cybersecurity, and consulting. As a Data & AI Engineer Manager, you will be at the heart of the practice's growth and structuring. Your role will blend leadership, technical expertise, and operational management: Coach, support, and develop Data Engineering teams in their day-to-day missions. Ensure rigor and quality of execution across

We are looking for a Senior Data Engineer to join our team and deliver a fit-for-purpose Workday reporting portfolio, grounded in clearly documented and validated business requirements. The role combines report development with business analysis, adjusted to programme priorities. You will work with business stakeholders, as well as the integration team, to design, build, test and deploy reports, dashboards and analytics that are secure, reusable and compliant with the reporting governance framework. Key Responsibilities Plan and facilitate requirements workshops, interviews and walkthroughs with business owners and subject-matter experts Translate business questions into structured reporting requirements (purpose, audience, data elements, filters, prompts, frequency, security and distribution) Analyse current-state reports from legacy systems and decide whether to retire, replace, consolidate or rebuild them in Workday Challenge and prioritise requests against business value, data availability and delivered Workday functionality Maintain a requirements inventory and traceability matrix, and obtain formal business sign-off on requirements and delivered reports Design and build Workday reports of all types: Simple, Advanced, Matrix, Composite, Trending and Transposed Develop dashboards, Discovery Boards and worklet-based analytics for managers and executives Create and maintain calculated fields, custom report data sources and prompts, following naming and reuse standards Build

Position : Senior Data Analyst Job Type: (Remote) Job Summary The Senior Data Analyst is responsible for applying advanced analytical techniques, statistical methods, and data-driven approaches to solve complex business problems. This position analyzes large and diverse datasets, develops predictive and prescriptive insights, builds analytical models, and partners with business and technical teams to support strategic decision-making. The Senior Data Analyst will work closely with data scientists, data engineers, business leaders, and other stakeholders to identify opportunities, improve processes, develop predictive insights, and translate complex analytical findings into clear business recommendations. Key Responsibilities Analyze large and complex datasets to identify trends, patterns, relationships, and business opportunities. Apply statistical and advanced analytical techniques to support business decision-making. Develop predictive models, forecasts, segmentation analyses, and other advanced analytics solutions. Use SQL, Python, R, or similar analytical tools to collect, transform, analyze, and validate data. Develop analytical models and methodologies to address business and operational challenges. Perform exploratory data analysis and identify meaningful relationships and patterns within datasets. Design and evaluate experiments, A/B tests, and statistical analyses when appropriate. Develop and monitor analytical models and performance metrics. Partner with data scien

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. How will you make an impact? The Senior Principal Structural Engineer is a core member of the Facility Enablement team, responsible for the structural integrity of both the data center products we build and the manufacturing facilities used to produce them. This role spans the full product lifecycle, from early stage design through factory integration, deployment, and field installation, with a focus on scalable, repeatable, and manufacturable structural solutions aligned with hyperscale delivery models. The position requires deep expertise in structural steel and concrete design, seismic analysis, and equipment support systems, combined with a practical understanding of how structural systems integrate with high-density MEP environments and modular construction workflows. The role is customer-facing and works closely with mechanical, electrical, manufacturing, BIM, and product engineering teams to deliver code-compliant, platform-based, a

We are looking for a Data Engineer with extensive experience in the complete development lifecycle of information solutions, including analysis, design, development, testing, deployment, and maintenance in On-Premise environments and Big Data technologies. The ideal candidate must demonstrate solid knowledge in database optimization and a proactive approach to overcoming technical or process limitations, ensuring robust, efficient solutions aligned with development best practices. The ability to lead and collaborate with multidisciplinary teams to accelerate the achievement of objectives will be valued. This is a remote position in LATAM, where you will be assigned to one of our most important clients in the financial/banking sector in Latin America. You will work in an agile environment with an incredible team implementing world-class software products. Requirements Experience with relational and NoSQL databases, Datawarehouse, Datamarts, Datalakes, and Lakehouse design. Distributed processing with Hadoop, Spark, and batch/streaming architectures. Development in Python, Scala, or Java, applying Clean Code principles. Pipeline construction using ETL tools (Azure Data Factory, AWS Glue, SSIS). DataOps/MLOps strategies and CI/CD deployment. Desirable: Certifications in AWS, Azure, or Big Data, and experience in modern architectures such as Data Mesh or Data Fabric. Responsibilities Design and develop data solutions aligned with business goals.

Description At Alfadocs, we're on a mission to transform healthcare. Our software platform makes the daily lives of medical practices and patients easier by streamlining practice management and patient relationships. With our all-in-one, cloud-based solution, healthcare professionals can focus more on care and less on administration. We take pride in our responsibility to deliver high-performance solutions while fostering a collaborative and respectful environment where everyone's contributions are valued. We're driven by a shared passion to make a lasting impact on the healthcare industry, creating a space where both our team and our customers thrive. As our Senior Data Engineer (Freelance, all genders) , you'll be the first dedicated data professional at Alfadocs, reporting directly to the CEO. You'll take full ownership of building our data infrastructure and transforming raw data into reliable, actionable business insights. This is a highly autonomous, hands-on role for an experienced professional who has already built a data warehouse from scratch in a growing company and knows how to balance technical excellence with pragmatic business needs. We're looking for a long-term freelance collaboration of approximately 10-15 hours per week, with the possibility of a higher initial commitment to accelerate the setup. Data Infrastructure & ETL : Design, build, and maintain robust ETL/ELT pipelines to consolidate data from multiple sources into a reliable, scalable data infra

Overview TISTA Science and Technology is seeking a Data Architect to join our growing team. At TISTA, you’ll do meaningful, mission‑driven work that improves lives alongside teammates you trust and leaders who are transparent and supportive. We invest in your learning and internal mobility so you can build a career that keeps advancing. We’re proud to serve and hire Veterans, and we put people first in everything we do. TISTA associates enjoy above Industry Healthcare Benefits, Remote Working Options, Paid Time Off, Training/Certification opportunities, Healthcare Savings Account & Flexible Savings Account, Paid Life Insurance, Short-term & Long-term Disability, 401K Match, Tuition Reimbursement, Employee Assistance Program, Paid Holidays, Military Leave, and much more! Responsibilities Design logical and physical data models for supply chain products and the VALIP lakehouse (Delta Lake, Unity Catalog). Design databases for migrations to VA sites and the cloud. Set data governance, quality, lineage and access standards in line with VA data policy. Tune performance across SQL Server, Oracle, Postgres and Databricks. Senior: database administration, backups, patching and environment refreshes. Qualifications Senior / Lead: 10+ years of experience, including 7+ years in data architecture or engineering. Mid-level / Level II / “Journeyman”: 5+ years in database administration or data engineering. Hands-on Databricks/Spark and relational databases (SQL Server, Oracle, Post

Role Title: Data Science & Analytic Methodology SME Role Type: Contract Location: Remote Required Skills: LLMs Pipeline integration Data analytics Scaled-analysis judgment Data science In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Scope of Work: Map scaled-analysis and pipeline-integration scenarios to an established taxonomy across key evaluation areas. Author detailed analytic cases that reflect authentic deployment patterns, including automated triage, enrichment, and analysis-at-scale, as well as representative failure modes in real-world settings. Evaluate and grade responses based on criteria such as source handling, reasoning, understanding of limitations, and practical utility. Identify and flag instances of model over-refusal that could hinder legitimate analytic workflows or disrupt pipeline continuity. Document challenging edge cases, emerging methodology concerns, and provide actionable recommendations for continuous improvement. Contribute clear, insightful written and verbal feedback that supports iterative, high-quality project outcomes. Preferred Qualifications: Demonstrated experience integrating LLMs—such as government GPT variants—into complex data or analytic pipelines. Proven capability in conducting analysis at scale, with an understandin

By joining Sedgwick , you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve. Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies Certified as a Great Place to Work® Fortune Best Workplaces in Financial Services & Insurance Data Consultant PRIMARY PURPOSE: To develop complex reports and analyze company data including Corporate or client specific data; to serve as a technical resource for company staff on data analysis and benchmarking issues; to meet with clients on such issues as necessary; to provide training and data analysis education for program staff; and to provide technical oversight and guidance to client dedicated analysts located in multiple field offices. ESSENTIAL FUNCTIONS and RESPONSIBILITIES Develops comprehensive, complex and accurate information reports. Creates complex data reports and provides analysis for forecasting and/or benchmarking used by senior management. Reports directly to senior management; communicates data findings for forecasting and client needs. Obtains, analyzes and provides appropriate feedback on company or client specific information needs. Provides complex data analysis functions to meet client specific, program or company senior management needs. Serves as

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀 Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We’re looking for a Data Analytics Senior to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀 🚀 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 various industries, improving product categorization, quality control, and information retrieval. Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions. 🌟 Our Partnerships Amazon Web Services Astronomer Databricks 🌟 Our Values 📊 We are Data Nerds 🤗 We are Open Team Players 🚀 We Take Ownership 🌟 We Have a Positive Mindset 🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀 Responsibilities 🤓 Buil

Data Science Lead The Data Science Lead will be a lead member of the AGRC North America Data & Analytics (D&A) team, driving the evolution of our advanced analytics and AI capabilities. This role is focused on designing, operationalizing, and scaling analytics, machine learning, and AI solutions that power Risk Consulting engagements. The Data Science Lead will build robust data pipelines and models, create reusable analytics assets, and enable consultants and analysts with tools and frameworks that elevate the quality, speed, and consistency of analytics across the business. This role requires a blend of deep technical expertise, strong business understanding, and a passion for innovation, automation, and continuous improvement. Aon is in the business of better decisions At Aon , we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like Lead Advanced Analytics & AI Development Coordinate and contribute to the design and execution of advanced analytics, machine learning, and AI solutions using claims, exposure, operational, and external data to generate high-value insights for use across Risk Consulting. Operationalize Scalable Data & Analytics Foundations Build, maintain, and optimize scalable data pipelines, feature stores, and reporting frameworks using t

Data Architect (Databricks/Lakehouse/Data Modeling) - Portugal or Spain Full Remote ABOUT THE OPPORTUNITY Join an international technology environment focused on building modern enterprise data platforms and enabling data-driven decision-making at scale. As a Data Architect, you will shape the architecture of a cloud-based data platform, defining the standards, models and integration patterns needed to deliver reliable, scalable and well-governed data products. This is an opportunity for an experienced Data Architect who combines strategic architectural thinking with practical solution design. You will work closely with business stakeholders, Data Engineers, Analytics teams and enterprise architects to translate business needs into robust data solutions and influence the long-term evolution of the platform. PROJECT & CONTEXT You will lead the design and implementation of a modern enterprise data platform built on Databricks and Azure , establishing a scalable Lakehouse architecture aligned with enterprise requirements and platform best practices. Your responsibilities will include defining target-state data architecture, designing conceptual, logical and physical data models, and establishing standards for data modelling, integration and governance. You will ensure that business entities and data structures are consistently represented across the platform while supporting reliable data consumption by engineering, reporting and analytics teams. You will also define data go

Location: Nationwide | Job ID: 218379 | Business Unit: Sales & Pre-Sales | Career Level: Experienced Professionals. Your Responsibilities: As the driving force behind our sales success, you combine technical expertise with commercial understanding. You stand out through broad and deep technological knowledge in the AI environment and the ability to inspire your customers as a trusted advisor and win them over for Computacenter. You are responsible for the pre-sales phase for AI projects in the data center environment and, together with sales, lead complex deals in Enterprise and Public to completion. You support Solution Sales in all relevant AI projects, take the lead for solution architecture, and ensure its quality with all relevant internal and external stakeholders. You independently handle the presales acquisition of projects regarding current AI technology topics in the data center environment. You create proposals based on economic calculations and argue the service contents to our customers. You analyze our customers and competitors to steer the sales process strategically and technologically as an integral part of the sales team. You embody technology thought leadership for AI with a focus on data center. You actively develop our AI portfolio as well as innovative related services according to customer needs, market opportunities, and vendor portfolios in cooperation with Solution Management.

The Tech System Clean, validate, and structure healthcare datasets from electronic health records (EHR), claims, and operational systems Perform descriptive data analysis to identify trends, patterns, and anomalies under the guidance of senior analysts Assist in the development and maintenance of reports, dashboards, and data visualizations using tools like Power BI or Tableau Write and execute basic SQL queries to extract and manipulate data Contribute to documentation of data sources, reporting processes, and analytical methodologies Collaborate with team members and stakeholders to understand data needs and support project goals Adhere strictly to data security, privacy, and compliance standards, including HIPAA regulations Required Bachelors degree in Data Analytics, Public Health, Statistics, Computer Science, Information Management, or a related field earned within the last 24 months Foundational understanding of data analysis concepts and a strong interest in the healthcare domain Academic, internship, or project experience with data manipulation and visualization tools (e.g., Excel, SQL, Tableau, Power BI) Strong analytical, problem-solving, and critical thinking skills Excellent verbal and written communication skills Ability to work effectively in a remote team environment Legal authorization to work in the United States Preferred Familiarity with healthcare data standards, terminologies (e.g., ICD-10, CPT), and HIPAA compliance Exposure to statistical programming l

Are you ready to tackle sophisticated distributed systems challenges at scale? Our Telemetry Platform team is looking for a Senior Software Engineer to help us build and evolve the services that collect and process data from millions of NVIDIA users worldwide. If you love working on high-impact infrastructure, we want to hear from you! What you will be doing: Design, build, and tune real-time, high-throughput services that ingest, validate, and route telemetry events from NVIDIA products worldwide. Make ingestion durable end to end (delivery guarantees, backpressure, persistent buffering, graceful degradation) so data survives component failures. Drive architecture for the data collection platform, including schema management and shared libraries for metrics, tracing, and configuration. Lead design reviews, write clear documents, and mentor other engineers. Own the services you build in production, including a shared on-call rotation and incident management. What we need to see: BS or MS in Computer Science, Engineering, or a related field, or equivalent experience, and 7+ years building backend services that run in production. Deep expertise in modern Java (17+) and Spring Boot, including concurrency, the Java Memory Model, and performance profiling. Strong distributed systems fundamentals (microservices, event-driven architecture, delivery semantics, failure handling). Experience running large-scale services with Docker, Kubernetes, and message brokers (Apache Kafka preferr

Company Overview At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth. Be part of a team that makes a real difference. Job Description This is a full-time remote position that can be located anywhere in the U.S The Principal Data Platform Engineer, Snowflake is the platform administrator and technical lead for Enlyte's Snowflake environment and its supporting tooling. This role takes over day-to-day management of the platform, ensuring it is secure, reliable, well-integrated, and supportable as Enlyte's data footprint grows. This senior individual contributor builds and supports integrations, applies security controls to protect regulated claims data, and partners with tech leads across Technology Engineering & Platforms to establish observability and platform management standards. The role is a key part of the organization's transition to a product deliv

Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together! Our Values Best Life We believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact. Growth Mindset We are doers, thinkers, and dreamers. At ABC Fitness , your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach new heights—personally and professionally. One Team From day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive. What You’ll Do Define and communicate ABC’s data architecture strategy, roadmap, and standards. Lead the architectural evolution from batch and latency-driven processing toward real-time data. Partner with executive, product, and engineering leaders to connect data architecture decisions to business and customer outcomes. Identify practical opportunities to use AI to improve engineering productivity, data generation, quality, and decision-making. Lead, coach, and develop a global team of four to five senior data architects. Establish consistent design review practices across the Data and Reporting organization.

About RAW Nutrition RAW Nutrition and BUM Energy are led by entrepreneur Dr. Domenic Iacovone, six-time Mr. Olympia Champion Chris Bumstead, and renowned bodybuilding coach Matt Jansen. RAW Nutrition has been recognized as the #1 fastest-growing sports nutrition company by Inc. 5000 and recently named Brand of the Year by both GNC and The Vitamin Shoppe. Since its inception in 2019, every RAW Nutrition product has been made with premium, clean ingredients, free from unnecessary fillers and additives. RAW proudly carries the Informed-Sport certification, a mark of excellence that ensures our products are rigorously tested for prohibited substances and meet the highest standards of quality and safety. We are a team of athletes, creators, and innovators driven by authenticity and the relentless pursuit of being better. Whether you’re behind the barbell, behind the camera, or behind the keyboard, you’ll be joining a culture that values grit, growth, and excellence. About the Role We are looking for an Analyst to join our Demand Planning team and support our rapid growth in the CPG space. We need a dedicated team member to handle the day-to-day operational tasks so our leadership can focus on higher-level strategic work. In this position, you'll be responsible for data entry into Confido (our trade promotion and forecasting platform), entering forecast updates, managing trade promotions, ensuring new items flow correctly from NetSuite into Confido, verifying pricing accuracy, and

This position is open to candidates based in India only. Applications from outside India will not be considered. Company Overview At Avahi , we’re redefining what it means to be a premier cloud-first consulting company, recognized for our people, culture, and innovative solutions. With expertise in Managed Services, Staffing, and Professional Services, we are dedicated to delivering exceptional value and putting customers first. As a remote-first, global team spanning North America, Europe, and Southeast Asia, we foster a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Guided by our values—Customer-Centricity, Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach. About the Role: As a Data Scientist at Avahi , you’ll work very closely with a senior member of our research team on cutting-edge Applied AI, infrastructure, and tooling towards the goal of democratizing Generative AI for everyone. Example projects: Build a RAG pipeline on top of internal documents. Create a python library on top of AWS services to enable GenAI for large enterprises. Open source internal tools. Implement neural network architecture from newly published papers. Work on tools which work with fine-tuned models, vector databases, embeddings etc. Develop more realistic simulations for training our agents. Design automated methods and tools to prevent

Category: Technology Location: A leading statistics company is looking for a detail-oriented Administrative Assistant with exceptional Excel skills to join our team! If you excel at data management, reporting, and administrative support while ensuring accuracy and efficiency, we’d love to hear from you! Experienced with admin Strong logic / deduction skills Data analysis data review data entry customer support. Schedule: 8:00 am - 5:00 pm (PST) Tools:Excel, Slack, Notion, Custom Internal Tools, Crisp Chat Requirements Excel Experience Admin Experience Data analysis knowledge Customer support experience Benefits * Trabajo 100% remoto. * 40 horas semanales * Beneficio de vacaciones después de un 1 año consecutivo con nosotros! * Ajuste de rate anualmente (queremos mantener un salario competitivo para ti). * Experiencia con cliente internacional. * Mejora en tu nivel de inglés. * Planes de mejoramiento. * Entrenamiento con herramientas y acompañamiento del equipo. Details Originally posted on Himalayas

The Data Governance Specialist will implement, administer, and enhance enterprise data governance capabilities using modern data platforms. You will partner with business, data, analytics, and IT teams to strengthen data governance practices, improve data transparency, and enable trusted, compliant data across the organization. This role combines hands-on expertise with data governance, metadata management, and stakeholder engagement. What You'll Work On In this role, you will: Configure and administer Data Governance and Data Catalog. Customize operating models, domains, communities, assets, and workflows. Implement business glossaries, data dictionaries, and ownership models. Manage integrations with data platforms, BI tools, and metadata sources. Define and operationalize data governance policies, standards, and processes. Support data stewardship and ownership across business domains. Enable data lineage, impact analysis, and data certification. Ensure governance practices support regulatory and compliance requirements. Ingest and manage technical and business metadata. Support automated and manual lineage across systems. Collaborate with data quality teams to surface data quality rules and metrics. Work with business and technical stakeholders to onboard data assets. Conduct training sessions for data owners, stewards, and users. What You'll Bring You will likely be successful in this role if you have: 5+ years of experience in data governance, data management, or relate

Responsibilities: Manage design-related ideation of project and business goals with teammates and stakeholders Create end-to-end digital assets pertaining to D&A, including experiences and interfaces, with a team of cross-functional stakeholders Direct creation of user experience artifacts such as outlines, wireframes, clickable prototypes and mockups as well as develop and revise high-fidelity user-interface screen designs Assist with QA testing to ensure that deliverables meet requirements and adhere to standards, hand-off design to developers and provide consultation as needed Generate and monitor design documentation, including style-guides and process-guides Build collaborative relationships with teammates, solution owners, and other stakeholders Qualifications: Minimum five years of experience in visual communication UX strategy, UX/UI design, front end development, and project management; minimum three years' experience in data analytics, visualization, or data science Bachelor's degree in Graphic Design, UX Design or a related field from an accredited college or university Experience in Sketch, Adobe Creative Suite on Mac platform; experience in Mural, Figma, Invision and other prototyping tools is a plus Excellent verbal and written communication skills in both client and internal settings; attention to detail and strong self-motivation skills Ability to build momentum and pivot as needed; capability to multitask and be a self-starter Applicants must be currently

At VF, we strive to foster a culture of belonging based on respect, connection, openness, and authenticity. So, before we get to the job details, take a minute to learn a little more about us – our values and our culture - visit VF Careers or . What will you do? A day in the life of a Manager, Financial Master Data Governance at VF looks a little like this. As part of the Finance Systems organization, the Manager serves as the enterprise finance systems master data governance lead and a central gatekeeper for financial data consistency, clarity, and control. The role owns governance across all finance systems, and ensures that shared master data, hierarchies, mappings, and reporting dimensions are designed and maintained consistently across the finance technology landscape. The role combines broad finance systems knowledge with independent judgment, governance ownership, and cross-functional influence. It partners with Finance, Accounting, Technology, Internal Controls, enterprise Data Governance, and system administrators to evaluate changes, resolve conflicts, set requirements, and protect the integrity of financial data across global processes. Let’s break down that day-in-the-life a bit more. Own and administer the finance master data governance framework across BlackLine, Group Reporting, Central Finance, BPC Planning, Coupa, AMT, Workday, and other connected finance applications. Serve as the central governance authority for financial master data, including company code

About us Prometeo Talent is a recruitment agency with a strong presence in the Americas and Europe. We specialize in connecting companies with exceptional technology and engineering professionals. We are currently working alongside a United States company specializing in measuring the effectiveness of marketing strategies across different channels. Their work involves helping organizations better understand their consumers, purchasing habits, and market behavior through data analysis. We are looking for a Data Analyst to join their global team. This is an excellent opportunity both for recent graduates and for professionals taking their first steps in the world of Data Analytics who enjoy working with data. In this role, you will work with large volumes of consumer and retail information, using data to find patterns, answer business questions, and generate actionable insights for decision-making. What will you do? Extract, query, and transform data using SQL, working with relational databases and cloud data warehouses. Analyze large volumes of transactional and consumer data to find trends, patterns, and opportunities. Create and maintain datasets that serve as the basis for recurring reports and analysis. Calculate business metrics such as household penetration, market share, purchasing behavior, and category trends. Work with