Data Analyst

The Company You'll Join:At Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. From understanding global travel trends to curating the perfect restaurant recommendation based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter. 
And the best part? Qloo's API suite is powered by cultural entities, not personal identities, ensuring our insights are derived without relying on personally identifiable information.
Read more about our recent Series C funding here.
The team you'll work with: Reporting to the Director of Data Engineering, you’ll work cross-functionally across the organization to support our data ingestion efforts for our vast catalog.
Hear what the team has to say  –  “The team culture at Qloo is highly collaborative and supportive, with a strong emphasis on mutual assistance. Each team member is approachable and committed to lending a hand, creating an environment where everyone feels supported and valued...” - Sreekant, VP of API Engineering.
Who you are: We are seeking a highly motivated Data Analyst to join our dynamic team. The ideal candidate will work closely with both the Data Engineering and Global Business Organization teams to support their data-related requests and contribute to key projects that drive business growth. This role requires a mix of technical skills in data manipulation, analysis, and an ability to turn raw data into actionable insights. The successful candidate will be proficient in tools such as Excel and Python to manage and analyze large datasets.

You'll immediately provide value by:

• Collaborate with the Data Engineering team to assist with data cleaning, normalization, and preparation for API integration and deployment.
• Work alongside the Global Business Organization to gather, process, and analyze data that supports business decisions, marketing strategies, and user acquisition efforts.
• Extract, clean, and analyze large datasets using Excel and Python, and other relevant tools to ensure data quality and accuracy.
• Create and maintain Airtable databases for managing and organizing various data requests and projects.
• Perform ad-hoc data analysis using Excel to generate reports, dashboards, and visualizations.
• Leverage APIs to pull data from external sources and integrate it with internal systems for further analysis.
• Develop and maintain comprehensive documentation of processes, data flows, and analytical methods.
• Present data-driven insights and reports to stakeholders in both technical and non-technical teams.

To be a successful match you must have:

• Bachelor’s degree in a quantitative field (e.g., Data Science, Mathematics, Computer Science, Economics, or related).
• Experience and proficiency using SQL
• Some experience in data analysis and handling large datasets using Excel, or APIs.
• Familiarity with Airtable for project management and data organization.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills with the ability to translate data into actionable insights for non-technical stakeholders.
• Ability to manage multiple projects simultaneously and work cross-functionally with different teams.

What we offer:

• Potential equity package
• Excellent health insurance coverage, with ability to join group dental and vision for a nominal fee
• 4% 401K matching
• 20 paid time off days
• 5 paid sick days
• 12 weeks of paid parental leave
• 10+ annual company holidays 
• Opportunities for professional development and growth within a dynamic environment
• A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible
• The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology
• Beautiful HQ in lively Soho, NYC

We are open to different backgrounds and tenure for this hire and compensation will be commensurate with experience. Please note that equity may be included in our total package, depending on role and level.