Remote Data Engineering & Analytics Jobs

We Make Remote Work Remarkable • TopTalent from LatAm Hello! We are GoFasti , a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe. We need an English-fluent Senior Data Analyst , based in Latin America, available to work remotely. We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills. Are you the one we are looking for? Responsibilities: Own product analytics across mobile apps and web/browser products: activation, feature adoption, onboarding drop-off, engagement and retention Act as the primary analytics partner for product owners, shaping roadmap priorities with data Build analytical frameworks to help product teams make data-informed decisions on new and existing features Turn ambiguous product questions into concrete analyses and clear recommendations Partner with product managers on event tracking plans and instrumentation QA Own A/B tests and feature experiments end to end: hypothesis, power analysis, readout and ship decision Use AI tools to automate recurring reporting and speed up insight generation Build self-serve reporting for product owners Find anomalies and data integrity gaps, and fix or escalate them Present findings to non-technical audiences in clear, concise narratives Pro

About Techsource Techsource provides procurement-as-a-service for mid market companies. We help companies streamline vendor management, optimize software costs, and centralize contract data through our proprietary internal platform. We’re growing quickly, and we’re looking for an Operations Manager who thrives in data-heavy environments, loves creating structure from chaos, and can build automated systems that scale. What You’ll Own 1. Data Operations (Primary Focus) Clean, validate, and maintain complex datasets Consolidate fragmented vendor, contract, and spend data into a unified structure Build systems to ensure data accuracy and freshness Create repeatable processes for detecting cost optimization opportunities 2. Internal Workflow Automation Build and maintain automations in Zapier, Make, and internal tools Improve contract workflows and intake processes Identify opportunities to eliminate manual steps across operations Develop “fail-safe” automation logic with clear alerts and QA paths 3. Operational Process Design Map out internal processes end-to-end Identify bottlenecks and redesign workflows for speed and reliability Document processes in a scalable, readable format Collaborate with the CEO to evolve Techsource’s internal operating system Must-Have Qualifications 2–5+ years in operations, data operations, BizOps, RevOps, or similar Demonstrated experience cleaning messy datasets and implementing structure Strong Airtable and/or low-code database experience Strong e

English will follow Summary Revau is expanding rapidly and experiencing sustained organic growth, reaffirming our commitment to revolutionizing the commercial insurance industry. We believe there is a more efficient way to access business insurance by eliminating inefficiencies, valuing expertise, and enabling brokers to grow their business. If you want to actively contribute to the transformation of the commercial insurance sector within a fast-growing company, we are looking for a bilingual, organized, structured, and autonomous individual to join our claims settlement subsidiary, RPMXpert, on a temporary basis. Reporting directly to the Commercial Risks Team Leader, the selected candidate will provide administrative support to the team as part of a temporary assignment. No insurance adjuster license is required for this position. Your responsibilities In this role, you will be asked to: Provide administrative support to the claims team; Enter, update, and track information in files; Organize and maintain documentation related to claim files; Follow up on specific requests with various stakeholders; Communicate in French and English with the parties involved as needed; Ensure the accuracy and quality of recorded information; Effectively prioritize requests and manage

The Staubli FCS Data Centers Key Account Manager/Sales Engineer is responsible for managing and building strategic, long-term relationships with Stäubli key clients to maximize mutual value, drive revenue, and ensure customer retention. Responsibilities include acting as the primary contact, understanding client needs, coordinating within the FCS Division to meet customer demands, developing account strategies for growth, and analyzing sales data. A successful Key Account Manager possesses excellent communication, interpersonal and negotiation skills, a strong understanding of the industry, and the ability to act as a trusted advisor. Reports to: FCS Data Centers Local Business Head – North America Responsibilities and Objectives: The Data Center Sales Engineer will be the primary point of contact with Staubli’s Data Center key accounts Develop and maintain strong relationships with current or new customers, channel partners, and co-suppliers on regular basis, ensuring a deep understanding of their needs. Educate and persuade potential customers on the value and advantages of Stäubli products and services. Gain market insights to identify product development opportunities, share competition intelligence, to ultimately generate new Business Development opportunities for Stäubli Data Center product portfolio. Prepare and deliver technical presentations, demos, and workshops to customers and prospective clients, creating value. Participate in weekly North American & Global m

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world. About the Role For all students looking to gain hands-on experience! You'll work directly with senior scientists on research problems at the frontier of LLM reasoning, post-training methodology, and agentic AI — applied to global crypto markets. Your work has a direct path to production systems serving hundreds of millions of users, and where findings warrant it, a clear path to external publication. You run experiments, implement ideas from recent research, synthesize papers into hypotheses, and work with engineers to understand how research translates to real systems. This is not a purely literature-review or passive research role. You are expected to think independently and generate insight. Responsibilities Contribute to the design and execution of experiments in reasoning model training, post-training alignment, test-time scaling, or systematic model evaluation — with a focus on applications in financial and crypto-nati

We are looking for a Data Engineer with experience in modern data environments, focused on the design, construction, and optimization of scalable pipelines. This role will be key to ensuring data quality, availability, and efficiency within the organization. Responsibilities: Design, build, and maintain efficient and scalable data pipelines. Orchestrate processes within Databricks (Jobs, Workflows). Ensure data quality, integrity, and availability. Optimize process performance and queries in distributed environments. Implement batch and streaming processing solutions. Collaborate with business and technology teams to define requirements. Document pipelines and processes in tools like Jira and Confluence. Requirements: Experience as a Data Engineer. Proficiency in: Databricks (Unity Catalog, Workflows, Jobs), PySpark / Apache Spark, Python and SQL. Experience in building data pipelines. Version control management (Git). C1 English level (advanced). Benefits: Paid in USD. Remote location in Mexico. Flexible freelance contract modality. Exposure to Agile projects. Work with corporate-level tools and platforms. 4-month contract with a possibility of renewal. Highlights: Build and optimize data pipelines in Databricks, working with PySpark, SQL, and modern data architectures. Originally posted on Himalayas

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role We’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions. Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses,

About the role: We're looking for a Staff Data Scientist to lead the technical direction, scaling, and evolution of our core AI capabilities across two tightly connected domains: Search, Ranking & Recommendations : advancing our multi-stage retrieval and ranking systems (Two-Tower networks, Vector Search/ANN, LTR) to optimize catalog discovery for raw physical products and designs, with a particular focus on multimodal and sequence embeddings. Generative AI & Visual ML : scaling our image intelligence pipeline by combining multimodal generative models with classical and deep computer vision. You'll drive systems that generate rich features and embeddings for recommendation engines, as well as tools that help merchants with content creation, smart product delayering, and automated visual asset processing. You'll lead the modeling strategy and collaborate across our data science and machine learning engineering teams, advancing our production systems from early successes to enterprise-grade AI infrastructure. Your daily tasks will include: Leading & scaling recommendation and search systems Lead the architectural direction for candidate retrieval, multi-objective ranking, and learning-to-rank (LTR) models across raw product and design recommendations. Advance our personalization engines, incorporating sequence embeddings of merchant history, niche trends, and sales performance signals to surface the best products and designs. Connect downstream merchant sales and co

Tasks and Responsibilities For the further development and professionalization of a modern cloud-based data platform, we are looking for an experienced data engineer to design, build, and manage scalable and reliable data solutions. You will work on a data platform featuring a modern data architecture centered around Microsoft Fabric, alongside Power BI, Python, and large-scale data pipelines. You will translate reporting and data needs into high-performing data models, efficient pipelines, and reusable data assets so that end users can rely on consistent and actionable insights. In addition, you will provide substantive input regarding architecture, data governance, data quality, maintainability, and scalability. You will regularly coordinate with analysts, reporting specialists, architects, end users, and other stakeholders. You will design, build, optimize, and maintain scalable data pipelines within a modern cloud data environment. You will implement data integrations from diverse source systems, such as relational databases, APIs, files, and applications. You will develop and manage lakehouse, warehouse, and medallion architectures with a focus on reusability, performance, and data quality. You will translate reporting and analysis requirements into clear data models and reliable datasets. You will design and implement ETL processes for processing data streams at scale. You will support reporting and analytics environments with high-quality and consistent data.

Stand.earth is seeking a creative and experienced community organizer for a part-time (20-32 hours per week) contract position starting as soon as possible for a 12-month term with possible extension . Reporting to the Senior Campaigner, this fully remote position will be responsible for coordinating and expanding Stand.earth’s engagement with local campaigns and organizers focused on local opposition to data center developments in key regions around the USA. This role will be part of Stand’s Big Tech team, and the contractor’s work will build on an existing national and international campaign to increase local and national pressure on Microsoft to deliver on key climate and energy commitments, including supporting local community partners engaged in existing data center site fights. Are you already active on local data center campaigns? Are you experienced at local organizing, community level engagement, facilitation, and corporate campaigning? Are you ready to hit the ground running? Our ideal candidate will have a background in building networked community campaigns with experience in data center and AI related issues in the US, and experience in working with diverse groups and organizers, collaborating on strategy development and building consensus to implement campaign strategies. We encourage applicants to apply by September 20, 2026. This position is open until filled. About Stand.earth Stand.earth is a nonprofit environmental organization working to create a world whe

We’re Changing the Rentals Industry We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates. We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth. While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital. About Our Products ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily - covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. MavenAI, delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units. The Role We are looking for a Senior Software Engineer to drive the evolution of our shared data platform - the core infrastructure that powers all three ApartmentIQ products. In this role, you will be a key architect of our data capabilities, shaping our product roadmap by expand

At Quento, the ICT arm of the Qualco Group , we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group , we combine deep technical knowledge with strategic partnerships to support business growth. At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Our high-performing, dynamic, and collaborative environment fosters professional growth at every stage. Quento Technologies seeks a highly motivated Senior Data Engineer (ETL): Responsibilities: Support the migration of legacy data collection and database systems to modern cloud-based data management platforms Design, develop, and maintain ETL/ELT and data integration solutions Develop and optimise Python-based scripts for data extraction, validation, transformation, and migration Support the modernization of existing SAS-based data processing and reporting workflows Integrate and consolidate data from multiple sources into unified and reusable datasets and databases Design and optimise database structures supporting analytical and operational workloads Conduct testing and quality assurance activities for new and existing solutions Support deployment, maintenance, and lifecycle management of data pipelines Collaborate with business stakeholders, data engineers,

The Senior Data Engineer is responsible for the architecture, operation and development of Cash Access UK ’s data platform, built on Microsoft Fabric and Azure. The role works closely with the Insights & Analysis team, business data owners, the Data Governance Consultant, Technology Operations, suppliers and the Head of Data and Technology to keep the platform reliable, bring new data into it safely and ensure the data it holds can be trusted for reporting and decision making. The platform brings together data from the banking hubs, the Post Office and community banking channels, incident and survey systems, reference data, member banks and public data sources. It was built with a delivery partner and is now moving into business-as-usual operation, and the Senior Data Engineer takes ownership of it as that transition completes, including the runbook, documentation, backlog, alerting and recovery arrangements. This is a hands-on engineering role where design, build and operation sit with the post holder rather than with a supplier. The Senior Data Engineer is accountable for the platform’s data pipelines, data models, databases, APIs and Microsoft Fabric integrations, for the engineering standards that govern how they are built and released, and for reducing the organisation’s reliance on supplier-led development. The role supports data quality and governance by implementing the data quality rules, critical data elements, definitions, lineage, classification, access contro

FocusGroupPanel invites adults to join optional online research panels and focus groups from home. This is not traditional employment. Participants may share feedback through surveys, online discussions, and other research activities when a study matches their profile. Eligibility and availability vary by study, and participation is always voluntary. You choose whether to respond to each invitation and can participate using a computer, tablet, or smartphone with a reliable internet connection. Comfort with online forms, accurate written responses, and careful attention to instructions can be useful. Study details, including any participant incentive, are provided with each invitation. Apply to join the panel and complete your profile so we can identify research opportunities that may be relevant to you.Requirements:- Must be 18 or older- Reliable internet connection- Computer, tablet, or smartphone Originally posted on Himalayas

Cardiovascular care is often the #1 cost for health plans and employers, with the current fee for service model incentivizing providers to maximize volume and throughput at the expense of clinical outcomes and patient satisfaction. Karoo’s mission is to improve the lives of every cardiac patient in America by transforming the current care model to improve patient outcomes at significantly lower cost. Karoo deploys a value-based approach which combines a blend of traditional, guideline-based medicine and state of the art digital tools to accomplish this important mission by enabling the conversion to, and success in, value-based care arrangements for cardiovascular networks, health systems and payers. Karoo is backed by leading venture capitalists, including First Trust Capital Partners and BIP Ventures, and has near and medium-term plans for further rounds. Senior Data Scientist Job Description Overview Location: Pittsburgh preferred, or remote, U.S.-based Type: Full-time technical role An Industry Defining Company Karoo is a venture-backed startup, prior to Series A, on a mission to transform cardiovascular care. Our platform is designed to empower large provider groups and health systems to succeed in value-based care contracts with payers by improving patient outcomes and reducing cost of care through better coordination, analytics, and disease management. While our initial focus is cardiology, we are building a scalable operating system for managing complex conditions acr

About KIND Kids in Need of Defense (KIND), launched in 2008, is a global leader in the protection of unaccompanied and separated children. KIND centers the needs, rights, and voices of children migrating alone in search of safety. Through a holistic approach, we combine legal services, advocacy, and partnerships across the private sector, philanthropy, government, and civil society to advance protections for unaccompanied and separated children. We work to ensure that migration systems recognize these children first and foremost as children. Position Summary KIND is seeking a Manager, Donor Data and Operations, to serve as the primary administrator and departmental subject matter expert for Salesforce and related systems. Reporting to the Director of Development Operations, this position is responsible for the integrity, effectiveness, and day-to-day management of Salesforce, donor data, gift administration, reporting, system documentation, user training, and finance reconciliation processes. Working in close partnership with the Director of Development Operations, the Manager identifies opportunities to enhance Salesforce functionality, improve business processes, strengthen data quality, and optimize reporting capabilities. The Manager develops recommendations, supports roadmap planning, and leads the implementation of approved system enhancements while supporting the broader departmental strategy and priorities. This role collaborates closely with the Manager, Prospect Res

About AlphaSense : AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit . Come join us. About the Team: The Financial Data team at AlphaSense is responsible for delivering the data foundation that powers our industry-leading market intelligence platform. We focus on sourcing, integrating, and surfacing structured datasets that enable clients to discover and act on insights in new ways. Our team is dedicated to delivering these datasets directly into our clients' most critical workflows. About the Role: We are seeking a Product Manager to own and define how our financial data is surfaced through search and agentic capabilities across the AlphaSense platform. In this r

Have a background in data entry, admin, or customer service? Your skills transfer well to paid online research panels.We connect people with remote studies - surveys, product testing, and online focus groups - that you complete from home. If you're comfortable with email, web forms, and following instructions, you're already set up to participate.What to expect:- Remote and flexible - part time or full time, your hours- Simple online tasks and honest feedback- Works from any U.S. location- Compensation that varies by studyWhile these backgrounds adapt quickly, no specific experience is required and everyone is welcome to apply. Applying is free, and joining a panel doesn't guarantee a set income - you're paid per completed study.Apply today to get matched with open research panels.Requirements:- Internet connection and a device- Comfortable with email and web forms- 18+- No experience strictly required Originally posted on Himalayas

Data Engineer – GCP. We are looking for a Data Engineer! We are looking for a Data Engineer with more than 3 years of experience in developing and managing data solutions on Google Cloud Platform (GCP), capable of participating in the construction, integration, and optimization of data pipelines and data engineering processes. What will you do? Design, develop, and maintain data pipelines. Integrate and process information using GCP services. Work with BigQuery for data storage, transformation, and querying. Implement transformation and modeling processes using Dataform. Develop automated and orchestrated processes using Airflow. Utilize services like Cloud Run, Cloud Storage, and Cloud Functions to implement data solutions. Participate in optimization, automation, and continuous improvement processes for data solutions. Apply best practices for development, version control, and CI/CD. Requirements: We are looking for professionals with experience in: Google Cloud Platform (GCP), BigQuery, Dataform, Cloud Run, Cloud Storage, Cloud Functions, Apache Airflow. The following will be valued: Advanced experience in SQL, Advanced proficiency in Python, Experience implementing CI/CD processes, Management of Git and GitHub, Experience in developing and orchestrating data pipelines, Knowledge of ETL/ELT processes and data transformation, Experience working with cloud architectures and services.

We are seeking a highly motivated and experienced individual to join our team as a Data Analyst. The successful candidate will play a crucial role in sourcing data to answer questions, analysing data trends, generating insights, and supporting decision-making processes to drive business growth and efficiency. Responsibilities:  Collect, clean, and analyse large datasets to identify trends and patterns.  Develop and maintain dashboards and reports to visualize key metrics.  Collaborate with cross-functional teams to understand data needs and deliver actionable insights.  Conduct ad-hoc analysis to support business initiatives and projects.  Present findings and recommendations to stakeholders in a clear and concise manner. Key Measurable:  Accuracy and timeliness of data analysis and reporting.  Number of actionable insights generated per quarter.  Improvement in business processes based on data-driven recommendations.  User satisfaction with dashboards and reports.  Contribution to achieving business goals and KPIs. Requirements Minimum Professional Experience:  3+ years of experience in data analysis or a related field.  Proficiency in data analysis tools such as SQL, Python, or R.  Advanced experience in Excel  Experience with data visualization tools like Tableau or Power BI.  Strong analytical and problem-solving skills.  Excellent communication and presentation skills. Reporting and Visualization Tool Experience:  Proficiency in SQL for data querying and

What does the project involve? The objective of this project is to collect voice recordings from native French speakers to improve voice assistant technologies. Task description: For this project, we are looking for a wide variety of native French speakers (from France and overseas territories) with various regional accents. Participants will record short activation phrases and scripted utterances typically used during interactions with a voice assistant, following the provided instructions. Who can participate in the study? To participate, you must meet the following conditions: Be 18 years of age or older. Be born and live in France or overseas territories. Be a native French speaker, from any region of France or overseas territories. Have a good command of English, as all project instructions will be in English. Be able to use a mobile phone for this project. Be able to use a wired headset or the device's microphone to record phrases. Have access to a quiet indoor environment to perform the recordings. Notes: As part of this project, we are looking for participants from specific demographic groups to help develop unbiased technology that is representative of everyone. Some groups are already full, but we are still looking for male voices with Northern, North-eastern, South-western accents and more.

Category: IT Services Location: For an international organization in New York, we are urgently looking for a REMOTE (Senior) Azure Data Engineer. Candidates need to be fluent in English. All positions are long-term. Candidates need to be able to work 4-6 hours per day in the normal office hours of New York, US. Example 9AM NY time equals 7:30PM Sri Lanka time. Tasks and deliverables: ​ Collecting large, complex sets of data that meet non-functional and functional business requirements. Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure and SQL technologies. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. Working with stakeholders including cloud infrastructure teams, data teams, governance, and information management officers, to collaboratively design, develop and deploy and support data solutions and related infrastructure. Profile: Bachelor or University degree Minimum 3 years of experience with Azure Data Factory - Extraction, Transformation and Loading experience Minimum 3 years of experience with Azure Storage/ Data Lake / Data Warehouse Minimum 2 years of experience with

Category: IT Services Location: For an international organization in New York, we are urgently looking for a REMOTE Data Lakehouse/BI Specialist. Candidates should be an experienced hands-on data lakehouse specialist with a history of working in an agile environment. Ideally, candidates should have hands on experience in designing and implementing data lakehouse architecture. Candidates need to be fluent in English. All positions are long-term. This position is open for contractors and employees. Candidates need to be able to work 4-6 hours per day in the normal office hours of New York, US. Tasks and responsibilities: ​ Work with an agile team to design and implement data lakehouse architecture and BI models; Translate design specifications and functional requirements into data lakehouse architecture and BI models; Data import, transformation and loading to data lakehouse from MongoDB; Develop and implement data visualization and interactive dashboards; Merge code into shared repositories, validate code, and perform quality assurance; Implement BI-based dashboard reporting to generate and share insights; Profile: +2 years of experience working with AWS BI and data lakehouse tools; Experience designing and implementing data lakehouse; Experience designing and implementing BI data visualization and interactive dashboards; Experience with Kafka or other similar large-scale messaging technologies; Experience implementing BI-based dashboard reporting; Experience with MEAN stack f

Category: IT Services Location: For an international organization in New York, we are urgently looking for a REMOTE Azure Data Engineer. As Azure Data Engineer, you are responsible for the design and implementation of a data infrastructure that provides standard data connectivity, storage, pipelining, and data integration services under a data hub and spoke architecture model Candidates need to be able to work 4/5 hours per day in the normal office hours of New York, US. Example 9AM NY time equals 7:30PM. This role is open for employees and contractors Tasks and responsibilities: Collecting large, complex sets of data that meet non-functional and functional business requirements; Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes; Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure and SQL technologies; Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition; Working with stakeholders including cloud infrastructure teams, data teams, governance, and information management officers, to collaboratively design, develop and deploy and support data solutions and related infrastructure; Profile: ​ Bachelor or Master degree; +5 years of relevant