YipitData

Sales Engineer

Colombia

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Financial Services, Investment AnalyticsIndustries

Requirements

The Sales Engineer should possess a Bachelor's degree in a quantitative discipline or finance-related field, and have at least two years of experience, with preference for experience in financial markets and US clients. Proficiency in Python, SQL, Databricks, Jupyter, and AWS is expected, focusing on answering client questions. Candidates must maintain primary residency in the country of hire (Colombia).

Responsibilities

As a Sales Engineer, the candidate will provide operational support during client onboarding, including setup, configuration, and integration of complex data feeds, and develop quantitative documentation, scripts, and use-case examples to facilitate client evaluations and ongoing data usage. They will partner closely with Sales to drive product adoption by delivering demonstrations and analyses of data feeds, address client queries, and maintain strong relationships by aligning data solutions with clients’ investment strategies, and collaborate with Product to improve product features based on client feedback.

Skills

Operational Support
Client Onboarding
Data Integration
Quantitative Development
Data Feeds
Client Support

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.

Key Metrics

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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