Location: NYC, remote available for exceptional, US-based candidates
Reports To: Chief Marketing Officer (CMO)
About Us
Daash Intelligence is a well-funded tech start-up at the forefront of next-gen predictive commerce intelligence. Our mission is to make retail markets more transparent, enabling customers to track and predict market trends more easily, thoroughly, and affordably. This is crucial because countless small and mid-sized consumer brands struggle to compete with larger companies that invest millions in market research. Daash tackles this by democratizing access to the actionable intelligence these brands need to thrive.
Our rapidly growing team of dedicated engineers, scientists, and business leaders is united in this vision, and the market response has been incredible. Our clients are high profile brands and manufacturers, who are using our platform for critical business decisions. Join us and help shape the future of commerce intelligence.
About The Role
We are seeking a highly analytical and insight-driven Data Analyst to join our growing team. This role sits at the intersection of data analysis, client engagement, and strategic storytelling. Reporting to the CMO, you will work closely with marketing, client services, product, and directly with client teams to translate complex datasets into clear, compelling insights that inform real-world strategic decisions for beauty, personal care, and health & wellness brands.
This role requires comfort operating in a project-based, client-facing environment—owning discrete analytical workstreams, collaborating directly with brand partners, and delivering high-quality insights on defined timelines. Success in this role means not only producing strong analysis, but also building trust with clients through clear communication, responsiveness, and thoughtful interpretation of data.
Key Responsibilities
- Client-Facing Analytics: Partner directly with client teams on defined analytical projects, including category deep dives, competitive benchmarking, performance diagnostics, and ad hoc strategic analyses.
- Project Ownership: Manage analysis workstreams end-to-end, from scoping and data exploration through insight development and presentation.
- Insight Generation: Analyze large, multi-dimensional datasets related to retail sales, competitive performance, distribution, velocity, and category trends to surface actionable insights.
What We're Looking For
Experience:
- 2+ years of experience as a Data Analyst, Analytics Associate, or similar role
- Experience working with consumer brands or data/platform vendors serving beauty, personal care, or health & wellness brands
- Most desirable experience includes working as an analyst for a consumer brand, retailer, or in service of the retail industry (e.g., retail analytics, or market research)
- Alternative but relevant experience may include analytical roles in financial markets or investment-oriented environments
- Prior experience supporting client-facing, project-based analytical work is strongly preferred
Technical Skills:
- Experience with BI and visualization tools (e.g., Tableau, Power BI, Looker, or similar)
- Comfort working with large, structured datasets across multiple dimensions (retailer, channel, region, time)
- Expertise in Excel and comfort working with large, structured datasets
- Strong proficiency with BI and visualization tools (e.g., Tableau, Power BI, Looker, or similar)
- SQL proficiency is a plus, but not required
Analytical & Communication Skills:
- Ability to interpret data and generate insights, not just outputs
- Strong visual and chart-based storytelling skills
- Comfortable presenting findings to client and executive audiences
Mindset & Collaboration:
- Highly organized, with the ability to manage multiple concurrent projects
- Client-oriented, responsive, and comfortable working in ambiguous problem spaces
- Curious, detail-oriented, and collaborative in a fast-paced startup environment
Education
- Bachelor's degree in a quantitative or analytical field (e.g., Economics, Statistics, Mathematics, Business, Computer Science) or equivalent practical experience.
Why Join Us?
- Work at the cutting edge of predictive commerce and market intelligence
- High-impact, visible role with direct client exposure
- Opportunity to influence both client strategy and Daash's market positioning
- Flexible work environment with competitive compensation and equity participation
