Remote Data Engineering & Analytics Jobs

IMPORTANT Application note Please apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you. About AgentixLake AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers’ cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic’s Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities. Your role Design the path from a business requirement to a working data and AI system. You will work directly with our founders and engineers to turn discovery findings into architecture decisions, implementation plans and tested components. Our architecture and advisory work connects enterprise data platforms with generative AI, AI agents and business applications. Depending on the engagement, solutions run on AWS, Snowflake, Databricks, Google Cloud or customer-managed infrastructure. What you will do Translate business workflows, existing systems and data constraints into clear solution designs, with explicit assumptions and acceptance criteria. Design data flows connecting ingestion, storage, retrieval, model inference, APIs and downstream enterprise systems. Evaluate trade-offs across cloud servic

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. As a Senior Data Engineer , you’ll be at the heart of transforming raw external data into powerful, trusted datasets that drive payment, product, and operational decisions. You’ll work closely with product managers, data scientists, subject matter experts, engineers, and customer teams to build, scale, and refine production pipelines — ensuring data is accurate, observable, and actionable. You’ll also play a critical role in onboarding new customers, integrating their raw data into our internal models. Your pipelines will directly power the company’s ML models, dashboards, and core product experiences. If you enjoy owning end-to-end workflows, shaping data standards, and driving impact in a fast-moving environment, this is your opportunity. What You’ll Do Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-base

Location: Remote – India Employment Type: Full-Time, Permanent Job Summary We are seeking an experienced Senior Data Engineer with 8–10+ years of experience in designing, developing, and managing modern data platforms, data pipelines, and cloud-based analytics solutions. The ideal candidate will have strong expertise in Azure Data Services, large-scale data processing, data warehousing, ETL/ELT frameworks, and cloud-native data architectures. The role requires hands-on experience in building scalable, secure, and high-performance data solutions that support enterprise analytics, reporting, AI, and business intelligence initiatives. Key Responsibilities Design, develop, and maintain scalable data platforms and data pipelines on Microsoft Azure. Build and optimize batch and real-time data ingestion frameworks from multiple structured and unstructured data sources. Design and implement data lake, data warehouse, and lakehouse architectures to support analytics and reporting workloads. Develop and manage ETL/ELT processes using modern cloud-native data engineering practices. Implement data transformation, cleansing, validation, and quality frameworks to ensure data accuracy and reliability. Collaborate with business stakeholders, data analysts, data scientists, and application teams to understand data requirements and deliver scalable solutions. Optimize data storage, processing, and query performance across enterprise data platforms. Implement security, governance, monitoring, a

🏆 Great Place to Work® Certified | USA Harbor Compliance is a leading technology platform for entity compliance, helping more than 80,000 businesses and nonprofits manage licensing, tax registration, and legal entity requirements nationwide. Founded in 2012 and recognized repeatedly by the Inc. 5000 and Deloitte Technology Fast 500, we've grown through five strategic acquisitions — and are now backed by a 2026 majority growth investment from Bregal Sagemount to accelerate product, AI, and customer experience. We're a passionate team making compliance simpler and smarter for every organization we serve. Harbor Compliance is building its first end-to-end data platform — unifying fragmented data from HubSpot, financial systems, and HRIS into a single, AI-augmented source of truth for executive decision-making. As Staff Data Engineer, you'll be a foundational technical hire, working closely with the Sr. Director of Data Platform & Analytics to design and build the real-time, AI-ready data infrastructure that powers this platform. This is a hands-on role for someone who wants to build from the ground up, not maintain what already exists. Key Responsibilities Design, build, and own near real-time data pipelines (CDC, streaming ingestion, event-driven architectures) as the backbone of the platform's data flow Evaluate, implement, and maintain vector database infrastructure and embedding pipelines to support AI-augmented use cases (semantic search, retrieval-augmented generation

Financial Analyst / Data Analyst – Remote | SQL, Excel, BI Tools | U.S. Hours Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours About the Role We’re hiring a Financial Analyst / Data Analyst to turn complex data into clear, actionable insights that drive business decisions. This role sits at the intersection of finance, data, and strategy — you’ll build models, analyze performance, and create dashboards that leadership relies on daily. If you’re someone who can connect numbers to real business impact , this is where you thrive. What You’ll Own Financial Modeling & Analysis Build and maintain 3-statement financial models (P&L, Balance Sheet, Cash Flow) Perform scenario analysis, sensitivity modeling, and forecasting Analyze ROI, IRR, break-even points, and investment performance Support strategic decision-making with data-backed financial insights Data Analysis & Insights Query and analyze datasets using SQL Clean, structure, and transform data using Python, R, or Excel Perform variance analysis (actual vs. forecast vs. budget) Identify trends, risks, and opportunities across datasets Reporting & Dashboards Build dashboards using: Tableau Power BI Looker Prepare monthly reports, executive summaries, and board decks Ensure reporting is consistent, accurate, and easy to interpret Forecasting & Budgeting Support FP&A processes and rolling forecasts Integrate real-time performance into financial projections Help improve forecasting

Standard Job Description Define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way.Design and implement data solutions by defining database physical and virtual structures and functional capabilities, security, back-up, and recovery specifications; Perform data modeling, data architecture map, data governance for data at rest; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Ensures that an organization follows a formal data standard and that its data assets are in line with the defined data architecture and/or with the goals of the business; Maintains metadata registry, oversees data management, optimizes databases and/or all data sources; Forward looking to future data management techniques and processes The core responsibilities for this role are based on a broad knowledge of IT and include, but are not limited to the following: Own what and how data is transformed, transmitted, modeled, categorized, and mastered for Plant to Stock’s systems Overall data design authority for the 1LMX ERP PTS systems Act as an approver on functional and technical specifications to support the function for models/reports, with tangible knowledge on what SAP ERP has out of the box vs. performing customizations in S/4 Enforce da

About Us Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services. Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy: Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S. Continuous professional growth and leadership opportunities. Health, wellness, and financial benefits to offer peace of mind to you and your family. World-class facilities and the technology you need to thrive – in our offices or yours. Job Summary SHI One is an exciting team within the Advanced Solutions Group of SHI that is building new digital experiences for our internal users, customers and partners. The Engineer will be responsible for the analysis, design, and development of solutions focused on data engineering and ETL workflows. As a Data Engineer, you will work with customers and internal stakeholders to understand their business needs and help them achieve outcomes with your solutions and guidance. You will research all data sources concerning business operations and be responsible for outlining designs to integrate, centralize, and maintain the data. You will help to establish a new data engineering practice and be a technical leader within the Product org

Thrive is a leading behavior change technology company founded by Arianna Huffington in 2016 with the mission to end the stress and burnout epidemic. Thrive helps individuals and organizations improve well-being, performance and mental resilience with its AI-powered behavior change technology platform. Thrive’s Microsteps – small, science-backed steps to improve health and productivity – have been adopted by employees at more than 125 organizations in over 140 countries, from frontline and call center workers to executives at multinational companies. As a Lead Data Analyst, you will drive data-driven decision-making across both our product and our customers. You will define and track the metrics that matter, like product adoption, engagement, retention, and customer health, and translate them into insights that both shape product strategy and demonstrate the impact of the Thrive platform. You'll move fluidly across the business: partnering with product managers, designers, and engineers from discovery through delivery, and working alongside customer success and sales to make sure our customers have the data they need to understand our product's effectiveness and build data-informed health and wellbeing strategies. This role calls for a blend of strong analytical skills, stakeholder management, and an eye for improving and scaling processes. You'll work autonomously, own your areas end to end, and be central to the strategic success of both our product and our customer relatio

The driving force behind our success has always been the people of AspenTech . What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community. The Role As the Sales Account Executive, you will be responsible for growing revenue in the Data Center Power Generation and Microgrid markets. This position will focus on attracting new customers, growing market share and developing strong industry relationships. This position will supplement the local sales team to drive greenfield control system orders across North America in the Data Center Power Generation industry that ensure reliability, efficiency and scalability. This position is a part of the Emerson Digital Grid Management (OSI was the former name) business based in Medina, MN. Position will be remote with strategic geography considered. Your Impact AS A STRATEGIC ACCOUNT EXECUTIVE YOU WILL: Develop new customer accounts that are providing power plants for data centers, including EPCs, investors, Hyper Scalers, Operation & Maintenance companies and end users. Promote and sell the Monarch Platform for power plants and microgrids, aligning solutions with custom

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. Our client's Digital Supply Chain Analytics team is scaling how artificial intelligence and modern data platforms support day-to-day decisions across manufacturing, logistics, planning, procurement, and operations. The team is running multiple parallel initiatives — from data pipelines feeding AI agents, to a full SaaS replacement for forecasting and inventory management, to machine learning for vision and forecasting systems — and needs additional hands-on developers to keep pace. The Senior Data Developer joins an existing team and contributes to established code repositories, with work scoped to the individual's strongest skills — whether that's database and pipeline development, application and UI development, or machine learning. Rather than owning a fixed set of responsibilities end to end, this person becomes part of a larger team accountable for the overall project, picking up the pieces of work best suited to their profile. What matters

About JobGet As the #1 app focused on everyday workers, JobGet is redefining the future of hiring. Founded in 2019, JobGet began as the only mobile-first hiring platform for everyday workers. Since then, we’ve grown by joining forces with Snagajob, the largest hourly job board in the U.S., followed by Seasoned, the leading platform for restaurant hiring. Each acquisition has brought JobGet closer to the frontline, making the platform faster, smarter, and more effective. While most platforms chase volume, JobGet is laying the foundation for a new kind of hiring infrastructure focused on precision, speed, and real outcomes. Our AI-powered engine learns, adapts, and improves continuously. Employers don’t just get candidates, they get hires. Workers don’t just search, they get matched. The result is a more efficient hiring process with less friction and better results. We serve a diverse range of industries, from food service and customer support to healthcare, logistics, and manufacturing. With access to over 200 million job seekers, our platform leverages cutting-edge AI to match qualified, role-ready candidates, automating key parts of the hiring process for faster decisions and better outcomes. By combining scale with precision, we’re transforming how businesses hire and how people find meaningful work. Our mission is simple: to help everyday workers thrive by providing accessible, frictionless hiring solutions that deliver real results. Join us as we continue to build the fu

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. Our client's Digital Supply Chain Analytics team is scaling how artificial intelligence and modern data platforms support day-to-day decisions across manufacturing, logistics, planning, procurement, and operations. The team is running multiple parallel initiatives — from data pipelines feeding AI agents, to a full SaaS replacement for forecasting and inventory management, to machine learning for vision and forecasting systems — and needs additional hands-on developers to keep pace. The Senior Data Developer joins an existing team and contributes to established code repositories, with work scoped to the individual's strongest skills — whether that's database and pipeline development, application and UI development, or machine learning. Rather than owning a fixed set of responsibilities end to end, this person becomes part of a larger team accountable for the overall project, picking up the pieces of work best suited to their profile. What matters

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is poised to innovate and grow like never before, and Safety is a critical accelerant of that growth. The Safety org is Reddit ’s central Trust & Safety organization, protecting users from bad experiences by stopping harmful content, behaviors, and abuse across the platform. We are looking for a Senior Data Scientist to lead ads fraud detection and scaled enforcement within Safety. You will partner closely with Ads Product, Engineering, Machine Learning, Operations, Policy, Legal, and fellow Safety data scientists to identify emerging ads fraud, define rigorous measurement and evaluation standards, and turn investigations into durable signals, models, rules, and enforcement pipelines. This is a high-impact role wit

Overview We are seeking an Intern-AI Engineer to help design, build, and deploy AI-powered applications that leverage large language models (LLMs) and enterprise data systems. This role focuses on developing practical AI solutions that improve healthcare treatment, payment, and operations through intelligent systems and natural language interfaces. You will work closely with Data Scientists, Data Engineers, and business stakeholders to build the underlying architecture for AI agents - including context layers, data retrieval systems, and governance guardrails - that operate reliably in regulated, data-intensive healthcare environments. This is an excellent opportunity for an early-career engineer passionate about AI technologies and building real-world applications that scale. We are currently looking for interns who can start immediately, 12-week internship, and work 40 hours per week. Responsibilities Technical Expertise SQL fundamentals - comfortable writing queries against structured data, not just describing them Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and familiarity with one orchestration framework (LangChain, LlamaIndex, or similar) Git basics - comfortable with branching and reviewing code as part of a team workflow Experience building or designing semantic layers, knowledge graphs, or context retrieval systems (RAG pipelines); understands embedding models, chunking strategies, and retrieval optimization Ability to reason about data quality, dupl

Our client in the US is looking for a Marketing Data Engineer to own the data pipelines and data-quality foundation that power their dashboards, pacing outputs and recurring reporting. Core responsibilities Build and maintain API/ETL ingestion from DSPs, ad servers and other advertising platforms. Normalize campaign data and maintain metric definitions used across dashboards and reporting. Manage cloud-warehouse structures and client data deliveries where required. Reconcile pipeline output against raw platform exports and investigate material variance. Build automated data-quality checks, alerting and monitoring for pipeline/dashboard health. Manage service-account/API credential workflows in the clients owned environments. Support platform migrations and rebuild data integrations without reporting discontinuity. Partner with Dashboard Developer and Programmatic Lead on definitions, mapping and release validation. Requirements Must-have profile 4+ years in data engineering/analytics engineering with production ETL/API responsibility. Strong SQL plus at least one production programming/scripting language such as Python. Experience with cloud data warehouses such as BigQuery, Snowflake or equivalent. Experience reconciling data across multiple source systems and designing data-quality controls. Ability to own production pipelines, troubleshoot failures and document data definitions clearly. Preferred experience Direct experience with advertising/marketing platform APIs and cam

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world. The Data Engineer will architect, develop, and maintain scalable data pipelines within a medallion architecture (bronze, silver/base vault, business vault, gold layers). This role is key in enabling high-quality, business-ready datasets by leveraging modern data engineering technologies and orchestration practices. Role Responsibilities: • Design, build, and manage end-to-end data pipelines across the medallion architecture—specifically the bronze, silver (base vault with DBT and orchestration tools, business vault), and gold layers. • Ingest and process raw data using Spark and Amazon EMR for scalable, distributed computation. • Develop and automate data transformations for the base vault using DBT (Data Build Tool) to standardize and model data efficiently. Requirements At least 5 years of experience as an Elasticsearch Data Engineer - ELK (Elasticsearch, Logstash, and Kibana) stack Expert knowledge) Java Spring Boot IBM ACE Programming BS in Computer Science, Data Engineering (Big Data, AWS cert

At Logicalis Spain, we are looking for a Data Engineer specialized in the Azure / Fabric environment to join our Data & AI area. The Data & AI team at Logicalis works with national and international clients, carrying out major projects in data engineering, artificial intelligence and advanced analytics, data strategy, governance, integration, and architecture, covering the entire data lifecycle. REQUIREMENTS Minimum of 3 years of experience in data engineering and ETL/ELT process development. Hands-on experience in Microsoft Fabric or equivalent platforms based on Lakehouse architectures. Design and implementation of ingestion processes from databases, APIs, files, and other information sources. Experience in layered architectures (Bronze, Silver, and Gold), incremental loads, historization, deduplication, and reprocessing. Relational and analytical data modeling. Use of Git/GitHub and controlled development methodologies. Experience in projects related to technology, risk, or cybersecurity will be valued. Certifications in Fabric, Azure, Power BI, or equivalents are a plus. TECHNICAL KNOWLEDGE Processing of structured and semi-structured data (JSON, CSV, XML). Azure / Microsoft Fabric environment (Lakehouse, OneLake, Notebooks, Pipelines, Dataflows Gen2, Delta tables, and workspace management). Python, PySpark, Spark SQL, and SQL. Semantic modeling for Power BI. API consumption and integration.

We're looking for a technically sharp Amazon SEO specialist to own keyword research, indexing analysis, and listing performance strategy across our catalog. This role is analytics-first: you'll work deep inside Data Dive to uncover keyword opportunities, indexing gaps, and ranking signals, then translate those findings into keyword strategy that feeds our creative team and drives PPC performance. Copywriting is a valued bonus skill, not the core of the job — our in-house copywriter owns creative execution, and you'll be the analytical engine behind her content. About the Company: A growing U.S.-based baby and nursery brand offering stylish, practical, and affordable products for modern families. With a strong presence in e-commerce and retail, the company is focused on creating thoughtfully designed essentials that make everyday life with little ones easier. Location: Philippines - Fully Remote Your Mission: Day to Day Responsibilities Deep Keyword & SEO Analytics (Data Dive-driven) Run in-depth Data Dive analysis to identify indexing gaps, underperforming keywords, and CRO opportunities Build category-level keyword hierarchies ranked by relevance, volume, and conversion potential Track organic ranking, indexing status, CTR, and CVR trends across priority ASINs Continuously refine keyword strategy based on performance signals and search term reports Keyword Strategy & Creative Handoff Translate keyword and indexing data into clear, prioritized keyword sets and benefit

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a Senior Manager / Associate Director with a strong Life Sciences background and hands-on commercial analytics experience to launch Commercial Data Product to support an upcoming pharma launch. This role will lead a small, dedicated pod to design and build a Snowflake-native, Power BI–aligned data product from the ground up. The position gives an opportunity to focus on data product ownership, metric design, and stakeholder alignment. The candidate should have strong experience and domain knowledge in gene therapy, with exposure to relevant processes, workflows, and industry applications. Key Responsibilities Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions Own the end-to-end commercial data product for a kidney launch, from vision to execution. Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership. Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics Own and prioritize the product backlog, ensuring alignment with launch milestones

The Opportunity: We’re looking for a Senior Data Engineer to join the Ookla Data Engineering team and help us process the world’s best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing tools, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies. We are committed to providing you a flexible work environment where individuality, fun, and talent are all valued equally. If you consider yourself innovative, adept at collaboration, and you care deeply about the work you do, we want to talk! Key Responsibilities: Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow Work closely with Data Scientists to turn theory and methodology into viable products Identify bottlenecks in system performance and make recommendations on improving process efficiency Support and collaborate with data scientists, analysts, and product managers You are enthusiastic about mentoring and guiding junior team members, helping them understand architectural principles, best practices, and effective ways of working. Job Qualifications: We are looking for the right person, not the exact list of requirements. If you believe your life experience

Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there. We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship. Position Overview We’re looking for a Staff Data Engineer to join a multi-disciplinary engineering team building modern, enterprise-grade data platforms. This role is ideal for an experienced engineer who can define data strategy, own platform decisions end-to-end, and contribute to technical leadership across the team. In this role, you will design scalable data lakes, warehouses, and pipelines, define governance and quality standards, and drive data platform modernization across real, in-flight work where performance, reliability, and security are critical. You’ll mentor more junior engineers, partner with leadership

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge , we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. The Data Solutions Go-To-Market (GTM) Director is a key role driving growth and strategic partnerships within our sales organization. This position requires a dynamic leader who can orchestrate cross-functional collaboration with channel partners, particularly focusing on the cloud data & AI platforms and emerging AI technologies. Additionally, they will come with strong functional knowledge in Corporate Finance, Supply Chain, or Operations (or similar areas). The ideal candidate will be responsible for identifying and executing strategies to increase bookings and maximize cross-selling opportunities, while deepening client relationships. The ideal candidate will possess a unique blend of strategic thinking, sales acumen, and functional/technical knowledge, enabling them to capitalize on market trends and position our solutions for optimal growth in this rapidly evolving landsca

What are we looking for? A Data Analyst profile with at least 4 years of experience using some of the following technologies: Power BI, Azure Data Factory, Azure Databricks, DAX. What can we offer you? Work model: 100% remote. - Work with an international client. - Competitive market salaries. - Professional growth. Participate in international projects. - Relocation to other countries. Who are we? Alter Solutions is an IT consulting company and a catalyst for digital transformation. We are a team, a community, a group of people with a common goal: to grow and make the company grow. Originally posted on Himalayas

LOCATION Remote Work-at-Home POSITION OVERVIEW MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs. At MCI we are committed to fostering an environment where professionals can build meaningful careers, access continuous learning and development opportunities and contribute to the success of a globally expanding, industry-leading organization. We are seeking bilingual agents to work as needed in response to data breach communications to consumers. This is a temporary, remote position contingent on breach events. Candidates accepted for this role will be e-mailed and texted on an as-needed basis. Shifts will range between 8:00 AM - 10:00 PM Monday - Friday and 10:00 AM - 7:00 PM Saturday and Sunday. To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test. POSITION RESPONSIBILITIES WHAT DOES A DATA BREACH AGENT DO? W