[Remote] Data Operations Analyst at YipitData

India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Market Research, Analytics, Biotechnology, RetailIndustries

Skills

Key technologies and capabilities for this role

Data AnalysisProduct AttributionConsumer Product DataManual TaggingMachine Learning ToolsData MappingRetail DataBrand DataCategory StructuringProblem-SolvingDetail-Oriented

Questions & Answers

Common questions about this position

Is this position remote?

This is a fully-remote opportunity based in India, with several hours of overlap with US time zones required during onboarding and training, and availability for meetings with US managers afterward while allowing flexible standard work hours.

What skills are required for the Data Operations Analyst role?

The role requires a deep understanding of consumer product data, strong technical abilities including manual tagging and machine learning tools, strong attention to detail, accountability, and strong judgment for interpretation and execution design.

What is the salary for this position?

This information is not specified in the job description.

What is the company culture like at YipitData?

YipitData cultivates a people-centric culture focused on mastery, ownership, and transparency, and has been recognized as one of Inc’s Best Workplaces for three years.

What makes a strong candidate for this Data Operations Analyst role?

A strong candidate will have a deep understanding of consumer product data, technical skills in manual tagging and machine learning tools, strong attention to detail, accountability to deliver projects on time accurately, and strong judgment.

YipitData

Data analysis and research services provider

About YipitData

YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.

New York City, New YorkHeadquarters

2013Year Founded

$561.3MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise Software, Financial ServicesIndustries

501-1,000Employees

Benefits

401(k) Company Match

Flexible Work Hours

Unlimited Paid Time Off

Parental Leave

Wellness Program

Professional Development Budget

Risks

Increased competition from AI-driven analytics platforms like ChatGPT.

Shift towards e-commerce may reduce demand for traditional market research services.

Inflation volatility could impact accuracy and demand for predictive analytics products.

Differentiation

YipitData specializes in alternative data, offering unique insights beyond traditional data sources.

The company provides custom reports tailored to specific business needs and sectors.

YipitData's subscription model ensures clients receive regular, detailed datasets and reports.

Upsides

Expansion into Europe and China opens new markets for localized data insights.

Carlyle Group's investment provides capital for technology and market expansion.

Focus on tracking inflation through alternative data offers a unique client value proposition.

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