About the position
This role supports customer onboarding and ongoing data operations across Harmonya’s Data Operations and Customer Success teams. You will assist with Attribution workflows, help track data updates for Insights and Enrichment, and support data investigations when issues arise.
The GTM Data and Implementation Analyst will contribute to account health by supporting key operational workflows across the customer lifecycle. This is a great role for someone early in their career who is detail-oriented, curious about data, and eager to learn the CPG and retail data landscape.
We’re looking for someone with foundational experience in data operations or implementation support who communicates clearly, pays close attention to detail, and is excited to grow within a fast-paced startup environment.
Responsibilities
- Support the implementation lifecycle from SOW signature through tenant go-live, helping coordinate tasks and track progress
- Help prepare materials for internal and external kickoff meetings, ensuring stakeholders have the information they need
- Assist with communication between Data Operations, R&D, and Customer Success to keep data-related workflows on track
- Track data movement across the client portfolio—receipt, ingestion, and ongoing updates—proactively flagging inconsistencies or anomalies
- Help maintain organized records of account details including SOW information, configuration files, and key contact lists
- Follow and help document repeatable processes that support cross-team collaboration and a consistent customer experience
- Gather and organize key data points and updates to help Customer Success Managers and Account Executives stay informed
- Support Attribution engagements by helping collect training data, organize inputs, and assist with customer onboarding alongside the Attribution Program Manager
- Assist with customer training sessions on Harmonya’s Attribution capabilities and help process ongoing data inputs
- Help ensure attribution-related data is collected in the correct format and routed to the right internal teams
About Harmonya
Harmonya is the all-in-one AI-powered product data enrichment, categorization, and insights platform for retailers and brands.
Legacy product data lacks descriptive and diagnostic power and limits what organizations can do. Harmonya enriches its customers’ and partners’ product data with deeper attributes and characteristics to power more impactful analytics and decision-making.
Our proprietary technology ingests information from millions of online product listings and creates unique tags from titles, descriptions, ingredients, consumer reviews, and more. This harmonized data asset empowers your teams and technologies that use product data to unlock growth for your business through a better understanding of what matters most to consumers.
We build robust tools to help you uncover insights about the consumer drivers of market performance, optimize assortment and merchandising, categorize products, guide product innovation, and engage target audiences more effectively.
Founded in 2021, Harmonya is a venture backed company. Investors include Team8, Susa Ventures, J Ventures, and others.
Requirements
- 4-7 years of experience in data operations, implementation support, customer onboarding, or a related role—exposure to CPG, retail data, or SaaS is a plus
- Familiarity with retail or syndicated data (e.g., Nielsen, IRI/Circana, retailer POS data) is preferred but not required
- Solid organizational skills with the ability to manage multiple tasks and keep work on track across accounts
- Clear written and verbal communication skills—comfortable participating in client calls and internal meetings
- Detail-oriented and process-minded—you follow steps carefully and flag issues when something doesn’t look right
- Comfort navigating ambiguity and working in a fast-paced, evolving environment
- Familiarity with data ingestion workflows, file formats, and basic data quality concepts is a plus
- Experience in a fast-growing B2B SaaS startup environment is preferred
