Role Description The Data Operations Analyst plays a critical role in developing custom product attribution based on unique customer needs. Each of our corporate retail and brand customers thinks about the structure of their categories in slightly different ways, and the Data Operations Analyst will execute the mapping of products to their requirements using a combination of manual tagging and machine learning tools. Interpretation and execution design require strong judgment. The ideal candidate should bring a combination of technical skills, knowledge of consumer product data, strong attention to detail, and accountability to plan and deliver projects on time with a high degree of accuracy. This is a fully-remote opportunity based in India. During onboarding and training period, we expect several hours of overlap with US time zones. Afterward, hires should be available for meetings and check-ins with their US managers and colleagues; however, outside of these specific times, standard work hours can be flexible. - Work with corporate retail and brand customers to understand their category structures and product attribution requirements. - Execute the mapping of products to customers' category needs, utilizing both manual tagging and machine learning tools. - Apply strong judgment and interpretation skills to ensure that data mapping aligns with customer specifications and business goals. - Collaborate with cross-functional teams to plan and deliver projects on time, ensuring high levels of accuracy and precision. - Continuously monitor and improve product attribution processes to increase efficiency and quality. - Leverage technical skills to enhance existing processes and tools that support data operations. - Maintain strong attention to detail and ensure accuracy in every aspect of the data mapping process. - Take accountability for successfully executing projects, including meeting deadlines and client expectations. Qualifications - 1-2 years of experience developing a strong technical background, including applied Python, Pyspark, and/or SQL skills. - RegEx experience is not mandatory but would be considered a nice-to-have skill. - Proficiency in data analysis, tagging systems, and machine learning tools. - Knowledge of consumer product data and experience working with retail or brand data. - Exceptional attention to detail, with a focus on delivering high-quality, accurate results. - Excellent problem-solving and critical-thinking skills. - The ability to manage multiple tasks and projects while maintaining a high degree of accuracy. - Strong communication and collaboration skills to work with internal teams and external clients. - Proven ability to execute projects efficiently and meet deadlines. Requirements - Experience with data management platforms, product attribution systems, or machine learning tools. - Familiarity with data mapping, tagging, and categorization practices. Benefits - Flexible work hours and flexible vacation. - A generous 401K match. - Parental leave. - Team events. - Wellness budget. - Learning reimbursement. - Competitive salary.

Role Description itD is seeking a Data Analyst III to build and scale data infrastructure that enables data-driven decision-making across marketing and analytics teams. This role will play a critical part in designing robust data pipelines, automating reporting, and ensuring data accuracy to support large-scale marketing initiatives. Location: Remote (aligned to PST/EST time zones) Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities - Design, build, and maintain scalable data pipelines to support large-scale marketing and analytics initiatives - Develop and optimize ETL processes to ingest, transform, and process high-volume datasets from multiple sources - Write complex, high-performance SQL queries to extract, analyze, and validate data - Build and maintain automated dashboards and reporting solutions to support business decision-making - Partner with cross-functional teams including marketing, program management, and analytics to define data requirements - Identify and resolve data quality, integrity, and consistency issues across systems and reporting layers - Collaborate with stakeholders to translate business needs into technical data solutions and actionable insights Internal Responsibilities - Attend regular internal practice community meetings - Collaborate with your itD practice team on industry thought leadership - Complete client case studies and learning material (blogs, media material) - Build out material to contribute to the Digital Transformation practice - Attend internal itD networking events (in person and virtual) - Work with leadership on career fast-track opportunities Qualifications - 5+ years of experience working with SQL across large-scale databases (e.g., Oracle, MySQL, Hive, or similar) - Strong experience designing and building ETL pipelines and data processing workflows - Experience working with large datasets (millions of rows) in distributed data environments - Experience with business intelligence and dashboarding tools - Proficiency in Python or R for data analysis and processing - Experience collaborating with cross-functional teams in a data-driven environment - Proven ability to independently manage workstreams and deliver end-to-end data solutions Preferred Qualifications and Skills - Experience in large-scale or big tech environments - Background combining data engineering and data analysis responsibilities - Experience supporting marketing analytics or growth teams - Ability to manage ambiguity and self-direct projects with minimal oversight Education - Bachelor’s degree in a STEM field required. Benefits - Comprehensive medical benefits - 401k plan - Paid holidays - Networking & career learning and development programs Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities.

• Label and annotate text, image, and audio data according to client guidelines • Review and quality-check existing annotations for accuracy and consistency • Follow detailed annotation guidelines and flag ambiguous cases for review • Complete data entry tasks and maintain accurate records • Communicate with team leads regarding annotation tasks and deadlines

Help us bring modern technology to every part of how OnForm Finance works! £5–£7k/month | Full-time | UK/EU hours Hey! I'm Henry, and I started OnForm Finance with my wife to help ambitious founder-led companies get the financial backbone they need to grow with confidence. Our clients span ecommerce, tech and beyond, and what they have in common is a founder who cares about the numbers and wants a finance partner who can keep up. We provide outsourced finance services (day-to-day bookkeeping, management accounting, financial control and fractional CFO support) to businesses doing up to £20M in revenue. Our team is made up of experienced finance professionals based across the UK, Europe and Asia. We're small, sharp and hands-on, and we're now investing seriously in technology to work faster, smarter and with fewer of the traditional barriers that slow most firms down. AI is a big part of that, but it's not the whole story. We want someone who can look across the whole business, identify where technology can genuinely improve how we operate, and then make absolutely sure those ideas get built, rolled out and used every day. We're looking for a Technology Lead to shape how OnForm Finance uses technology across the business. This is our first dedicated technical hire. We already have a team of experts who know finance inside out, and thanks to modern AI tools and the rise of vibe coding, we can now build almost anything we can imagine. What we need is someone to think clearly about which things are worth building, and then drive them all the way through to adoption. You'll have three connected missions: - Apply technology across the business. Look across our delivery, operations and client work. Find the places where technology (AI, automation, integrations, internal tools) can remove friction, save hours and raise the quality of what we produce. Build prototypes, turn the best ones into production, and put them in our team's hands. - Drive real adoption. A prototype that no one uses is a failure. You'll partner with Henry and team leads to roll out new tools, train the team, refine based on feedback, and make sure technology actually becomes part of how everyone works. This is where the role earns its keep. - Put proper controls and governance in place. We handle a lot of client financial data, and right now we don't have formal security procedures or controls. You'll own this: define the procedures, implement the controls, and build a secure, well-governed foundation we can scale on. In this role, you will: - Design and build internal tools that reshape how our finance team delivers (AI-powered reporting, automated reconciliations, client-facing dashboards, operational workflows) - Prototype fast using modern AI and low-code tools (Claude, Lovable, Gemini Workspace AI, Cursor, Airtable, Zapier, n8n), and turn the best prototypes into production - Stand up the data foundation: a central warehouse pulling from Xero, Shopify, Stripe and other sources our clients use - Establish security procedures and access controls around client financial data, covering access management, data handling and incident response - Implement data governance: classification, retention, segmentation and audit trails - Partner with Henry and team leads to map processes, find the highest-leverage places to insert technology, and make change stick - Train the team, build playbooks and raise the bar on how everyone uses technology day-to-day - Own the technology roadmap, including build-versus-buy decisions and vendor relationships Working hours are ideally aligned with UK/EU time zones, with some flexibility.