Data Operations Analyst

India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Market Research, Analytics, Biotechnology, RetailIndustries

Requirements

Candidates should possess a Bachelor’s degree in a relevant field, such as Data Science, Computer Science, Statistics, or a related discipline, and have at least two years of experience in data operations or a similar analytical role. Strong analytical and problem-solving skills are essential, along with proficiency in SQL and experience with data manipulation techniques. Familiarity with machine learning concepts and tools is preferred.

Responsibilities

As a Data Operations Analyst, you will collaborate with corporate retail and brand customers to understand their category structures and product attribution requirements. You will execute the mapping of products to customer category needs, utilizing both manual tagging and machine learning tools, and demonstrate strong judgment in interpreting and executing design specifications. Furthermore, you will be responsible for ensuring the accuracy and timeliness of product mapping projects, while maintaining a flexible work schedule that accommodates time zone differences and meeting requirements.

Skills

Data Analysis

Product Attribution

Consumer Product Data

Manual Tagging

Machine Learning Tools

Data Mapping

Retail Data

Brand Data

Category Structuring

Problem-Solving

Detail-Oriented

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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