Data Technical Trainer Jobs

Internship Summary Are you looking for an internship that provides real life experience? Phoenix Contact's Corporate Management Team is seeking a highly analytical and business-oriented Data Science & Analytics Intern to support strategic initiatives across Product Management, Operations, Sales, and Marketing. This role is ideal for students who enjoy combining technical data skills with business problem solving to identify trends, uncover opportunities, and recommend actions. Our Fall (Sept – Dec) interns work full time with the opportunity to continue through Spring. We strongly prefer candidates who can work onsite regularly to accelerate learning, collaboration, and business understanding. What does a typical day look like? Onsite Day Meet with Product Management, Operations, Manufacturing, Sales, or AEP teams to understand business challenges and decision-making needs. Analyze customer, product, pricing, operations, supply chain, and financial data to identify trends, root causes, and improvement opportunities. Translate ambiguous business questions into structured analytical approaches. Work directly with leadership and subject matter experts to understand product portfolios, operational processes, and customer dynamics. Build dashboards, predictive models, business cases, and executive-level recommendations. Present findings, risks, and recommended actions to stakeholders. Remote day: Deep analytical work including: Data mining and exploration Statistical analysis Predictive modeling Data cleansing and transformation AI-assisted analytics and automation Develop Power BI dashboards and self-service reporting tools. Prepare executive-ready presentations and recommendations. Document assumptions, methodologies, and business insights What makes this internship unique? Phoenix Contact is a global technology leader where interns work on real business challenges that impact customers, products, and operations. Unlike many internships focused solely on reporting,

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are seeking an experienced and visionary Engineering Manager to lead one of our data engineering team. In this role, you will be responsible for managing and scaling data products, driving data pipeline development, and ensuring the availability, quality, and security of our data assets. You will collaborate closely with cross-functional teams including data scientists, analysts, product managers, and software engineers to enable data-driven decision-making across the organization. What you'll be doing: Lead, mentor, and grow a high-performing team of data engineers. Design, build, and maintain scalable, reliable, and efficient data pipelines and architectures. Oversee the development and implementation of ETL/ELT processes, data warehousing, and data lake solutions. Collaborate with stakeholders to understand business requirements and translate them into technical data solutions. Ensure data quality, consistency, and security across all data engineering workflows. Define best practices and standards for data engineering and promote their adoption. Drive continuous improvem

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As a Historical Data Conversion Project Manager, you will serve as the essential link between our technical Data Solution Consultants (DSCs) and the client’s business stakeholders. While DSCs focus on the technical execution of data migration and complex analysis, your role is to translate that work into a clear narrative for the client while relaying client requirements back to the internal team. You will leverage a strong understanding of HDC processes, investment data, and technical frameworks to comfortably bridge the gap between technical execution and client expectations. By working side-by-side with the DSCs to identify data remediation strategies, you will translate technical requirements into actionable directives for the client and proactively secure necessary inputs. This role is for a subject matter expert who can navigate technical language and investment complexities to drive project progress and maintain high-impact communication regarding status, gaps, and timelines. You’ll also be among the first members of the Data Solutions team based in India, helping establish our presence in the region while working closely with colleagues across the U.S., U.K., and other global offices. This is a collaborative role offering the

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Staff Data Engineer, Enterprise Core Datasets, Tech Foundations The Community You Will Join: At Airbnb, trustworthy data powers business decisions, product innovation, and operational efficiency. The Enterprise Core Datasets team builds the technical data foundations that help Airbnb understand how the business operates, where resources are invested, and how new technologies create value. Our scope spans high-impact datasets across the organization: measuring AI adoption, usage, and cost; understanding revenue, costs, and profitability through Unit Economics; integrating non-platform data from Jira and other enterprise applications; and powering critical company metrics such as Gross Booking Value and Revenue. You will join a team that values thoughtful architecture, engineering rigor, and operational ownership. We collaborate with engineering, product, analytics, finance, and business teams to turn complex requirements into dependable, reusable data assets. We welcome strong engineers who are curious about the business and eager to solve problems across diverse domains. The Difference You Will Make: As a Staff Data Engineer, you will provide hands-on technical leadership for datasets that shape decisions across Airbnb. Your work will help the organization measure AI adoption and spending, understand the economics of its products, and connect enterprise application data to meaningful business and operational insights. You will lead complex initiatives from problem definition and architectural design through implementation, validation, and production operations. You will build extensible data foundations that ac

Role Overview You’ll help global clients keep their most critical corporate governance data accurate, secure, and easy to use. As a Professional Services Data Entry Specialist, you turn complex client records into clean, reliable datasets and documents that board members, legal, risk, and compliance teams rely on to make decisions. In this role, you’ll work hands-on with governance data, migrate it between platforms, build smart questionnaires for directors and officers, and use Excel, databases, and AI tools to streamline how information is captured and maintained. You’ll collaborate closely with clients and internal teams, spot data issues early, and suggest better ways of working so implementations run smoothly and clients are set up for long-term success. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Migrate and transform client corporate governance data and documents into Diligent platforms, ensuring accuracy, consistency, and completeness. Build and configure Director & Officer questionnaires so clients can collect the right information from the right stakeholders. Run regular data quality checks, validate data against source records, and quickly correct errors to maintain high data integrity. Use advanced Excel functions, databases, and AI tools to manage, format, and optimize large data sets and bulk document uploads/downloads. Partner directly with client stakeholders and internal teams to clarify requirements, resolve data or technical issues, and provide clear progress updates. Identify and help implement improvements to data workflows, templates, and automation to make delivery faster, more consistent, and more scalable. These are the essentials you’ll need to get an interview Hands-on experience in a data-focused role (for example, data specialist, data analyst, data migration, or similar) in a professional environment. Strong skills in Microsoft Excel, including advanced functions for manipulating and analyzing data

Data Specialist Location: Remote, USA Time Zone: Must be in Pacific time zone and willing to work 9AM - 6 PM PT About Syllo Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end-to-end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise-grade litigation AI. Backed by top-tier VCs, we are at a clear inflection point — the team has doubled in the last six months and growth is accelerating. About the role Own the data layer that makes complex litigation possible. This role is responsible for the technical data operations that underpin every case on Syllo's platform, from collection and processing through production and quality control. You will work directly with Client Services pods and internally with Product and Engineering to ensure data integrity at every stage. We are looking for someone with hands-on EDRM lifecycle experience, deep platform fluency, and the judgment to know when a data issue is a technical quirk versus a signal something is wrong. What you will do Own data operations: Manage ingestion, processing, and production workflows across active cases. Validate every output before it reaches the client. Own quality control: Apply systematic QC standards across all data outputs, documenting findings and resolving issues before they reach the client or the pod. Resolve complex data issues: Diagnose and resolve collection anomalies, processing failures, metadata errors, and production format disputes. Advise on data strategy: Help clients structure their data workflows, processing spec

Role Overview You’ll help global clients keep their most critical corporate governance data accurate, secure, and easy to use. As a Professional Services Data Entry Specialist, you turn complex client records into clean, reliable datasets and documents that board members, legal, risk, and compliance teams rely on to make decisions. In this role, you’ll work hands-on with governance data, migrate it between platforms, build smart questionnaires for directors and officers, and use Excel, databases, and AI tools to streamline how information is captured and maintained. You’ll collaborate closely with clients and internal teams, spot data issues early, and suggest better ways of working so implementations run smoothly and clients are set up for long-term success. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Migrate and transform client corporate governance data and documents into Diligent platforms, ensuring accuracy, consistency, and completeness. Build and configure Director & Officer questionnaires so clients can collect the right information from the right stakeholders. Run regular data quality checks, validate data against source records, and quickly correct errors to maintain high data integrity. Use advanced Excel functions, databases, and AI tools to manage, format, and optimise large data sets and bulk document uploads/downloads. Partner directly with client stakeholders and internal teams to clarify requirements, resolve data or technical issues, and provide clear progress updates. Identify and help implement improvements to data workflows, templates, and automation to make delivery faster, more consistent, and more scalable. These are the essentials you’ll need to get an interview Hands-on experience in a data-focused role (for example, data specialist, data analyst, data migration, or similar) in a professional environment. Strong skills in Microsoft Excel, including advanced functions for manipulating and analysing data

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Data Enablement Team Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation. Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support. The Senior Data Analyst Opportunity Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption. You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence. As the Staff Specialist, EHSS Data , you will serve as the technical specialist for the EHSS data domain. You will partner with EHSS SMEs, SMAI, and IT to shape trusted data products, data models, and technical specifications that support reporting, analytics, AI, and operational decision-making. You will provide the technical expertise needed to ensure EHSS data is reliable, reusable, well-governed, and aligned with approved business definitions and enterprise data practices. Key Responsibilities Build the EHSS Trusted Data Foundation Design and maintain EHSS data models, source-to-target mappings, transformation logic, and technical data specifications. Translate approved business definitions and rules into reusable, analytics-ready data structures and datasets. Define and maintain data-quality controls, validation rules, reconciliation processes, and techni

This is an exciting opportunity at Natera (a global leader in precision medicine and genomics testing), to oversee the entire operations of our Extended-Hours Support (ExHS) team, to provide key data analytics services for our lab production operations. As the Director of Operations for ExHS at our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), apply innovative solutions built with the latest information and cloud technologies, directly support the most cutting-edge medical diagnostics and genomics applications, and make real & immediate impact to patients and healthcare providers, by ensuring the ExHS team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams. Important Note: This Director needs to be available during the extended hours (e.g., early morning, late evening, and weekend hours) for emergencies or other similar critical events (note: this position does not require general availability during the extended hours, but only during emergencies or other similar critical events during the extended hours). PRIMARY RESPONSIBILITIES: Team Leadership and Operations Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts, for the timely and accurate data analytics support for production teams. Enforce operating procedures for compliance, quality, and efficiency. Measure, report, and continuously improve team operational effectiveness. Lead the team during critical production incidents or emergency events during and outside standard business hours. Technical Execution and Infrastructure Develop and maintain technologies for operational visibility (e.g., via AWS QuickSight or Streamlit). Develop and maintain technologies for operational efficiency

This is an exciting opportunity at Natera (a global leader in precision medicine and genomics testing), to oversee the entire operations of our Extended-Hours Support (ExHS) team, to provide key data analytics services for our lab production operations. As the Director of Operations for ExHS at our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), apply innovative solutions built with the latest information and cloud technologies, directly support the most cutting-edge medical diagnostics and genomics applications, and make real & immediate impact to patients and healthcare providers, by ensuring the ExHS team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams. Important Note: This Director needs to be available during the extended hours (e.g., early morning, late evening, and weekend hours) for emergencies or other similar critical events (note: this position does not require general availability during the extended hours, but only during emergencies or other similar critical events during the extended hours). PRIMARY RESPONSIBILITIES: Team Leadership and Operations Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts, for the timely and accurate data analytics support for production teams. Enforce operating procedures for compliance, quality, and efficiency. Measure, report, and continuously improve team operational effectiveness. Lead the team during critical production incidents or emergency events during and outside standard business hours. Technical Execution and Infrastructure Develop and maintain technologies for operational visibility (e.g., via AWS QuickSight or Streamlit). Develop and maintain technologies for operational efficiency

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: As a Technical Program Manager for Consumer Data at the Weather Company, you will guide the instrumentation of consumer data collection that supports reporting, analytics, and machine learning use cases. You will lead our consumer data quality initiatives across our digital ecosystem, responsible for ensuring the integrity, accuracy, and accessibility of consumer data collected from our applications and websites. You will also bridge the gap between business analytics needs & technical data infrastructure while collaborating closely with front-end development teams to implement robust data tracking solutions. The impact you'll make: Collaborate with stakeholders, such as product, marketing, and content managers, to understand business analytics requirements and translate t

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: As a Technical Program Manager for Consumer Data at the Weather Company, you will guide the instrumentation of consumer data collection that supports reporting, analytics, and machine learning use cases. You will lead our consumer data quality initiatives across our digital ecosystem, responsible for ensuring the integrity, accuracy, and accessibility of consumer data collected from our applications and websites. You will also bridge the gap between business analytics needs & technical data infrastructure while collaborating closely with front-end development teams to implement robust data tracking solutions. The impact you'll make: Collaborate with stakeholders, such as product, marketing, and content managers, to understand business analytics requirements and translate t

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Customer Success Solutions Engineer (CSSE) , you will drive technical adoption, operational readiness, and time-to-value across the Evergreen//One customer lifecycle . Serving as a founding member of our Technical Success organization, you will act as the vital connective tissue between Customer Success, Product, Technical Services, Sales, and Revenue . You will be the technical authority behind key customer relationships, transforming utilization, capacity, and performance telemetry into proactive actions that protect renewals and unlock expansion . In close partnership with Customer Success Managers and client technical leaders, you will resolve complex escalations while building scalable programs and tooling that power Everpure’s subscription growth . WHAT YOU’LL DO Accelerate Adoption & Time-to-Value: Own technical onboarding and operational readiness across the Evergreen//One fleet to ensure customers rapidly achieve business outcomes and reach steady-state performance . Manage Fleet Health & Risk: Monitor enterprise storage telemetry across active customer environments, setting intervention thresholds to proactively resolve capacity, performance, and compliance risks before they impact operations . Drive Renewals & Expansion: Deliver data-driven technical evaluations and utilization insights that inform contract milestones, identify coverage gaps, and surface expansion opportun