Reporting to the Director of Data Engineering youll 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.
This position is based in NYC with an in-person requirement at Qloos HQ in the heart of Soho. Please note relocation assistance will not be provided and local candidates are strongly preferred.
Youll 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:
Bachelors 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 thats making waves in the industry and shaping the future of technology
Beautiful HQ in lively Soho NYC
$70000 - $81000 a year
Compensation determined based on experience and qualifications. To be discussed during interview process
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.
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