Analytics Engineer (Customer Solutions)

Paris, Île-de-France, France

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Analytics, EcommerceIndustries

Requirements

The ideal candidate possesses a strong technical foundation with the ability to write SQL, architect integrations, and select appropriate technologies. They should thrive on direct customer interaction, effectively translating complex technical concepts into clear business value and customer feedback into prioritized development work. A bias for action with a commitment to quality is essential, as is a desire for strategic influence in a role where data, product, and revenue decisions intersect.

Responsibilities

This role involves owning the semantic layer for commerce agents by building a unified data model that transforms raw data into AI-understandable insights, creating consistent metrics and business logic. The individual will drive $1M ARR per quarter by owning the technical close for high-value deals through demonstrations, proofs of concept, and implementations. They will also launch successful features monthly by collaborating with Product to translate customer needs into shipped features and influence roadmap priorities based on direct customer feedback. Additionally, the role includes building power user networks at top logos by cultivating deep technical relationships and partnering with the CS team on deal nurturing, identifying upsell opportunities, and resolving technical challenges.

Skills

semantic layer

unified data model

Shopify data

advertising data

retention data

AI agents

metrics

business logic

proofs of concept

data modeling

end-to-end deployments

Polar Analytics

Marketing analytics and data visualization platform

About Polar Analytics

Polar Analytics provides marketing analytics and data visualization solutions specifically designed for eCommerce brands. Their platform integrates various data sources, enabling clients to visualize key performance indicators (KPIs) and gain actionable insights. The platform automatically calculates important marketing metrics such as Customer Acquisition Cost (CAC), Return on Ad Spend (ROAS), and Lifetime Value (LTV), which helps eCommerce businesses streamline their data management and enhance marketing strategies. Unlike competitors, Polar Analytics offers a user-friendly dashboard that consolidates data from multiple sources, eliminating the need for manual data handling. The company's goal is to empower eCommerce brands to make informed decisions that drive growth and efficiency through a subscription-based model that includes customizable features and dedicated support.

Paris, FranceHeadquarters

2020Year Founded

$9.7MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Consumer SoftwareIndustries

11-50Employees

Benefits

Paid Vacation

Health Insurance

Home Office Stipend

Company Equity

Flexible Work Hours

Risks

Increased competition from established platforms like Tableau and Looker threatens market share.

Emerging EU privacy regulations could complicate data integration for Polar Analytics.

Economic downturns may reduce budgets for analytics tools among small to medium eCommerce businesses.

Differentiation

Polar Analytics offers a comprehensive platform integrating multiple data sources for eCommerce.

The platform automatically calculates essential marketing metrics like CAC, ROAS, and LTV.

Polar Analytics provides a single dashboard, eliminating manual data exports and consolidations.

Upsides

Increased demand for real-time analytics in eCommerce boosts Polar Analytics' market potential.

Growing trend of AI-driven analytics tools aligns with Polar Analytics' advanced solutions.

Shift towards personalized marketing strategies enhances the need for Polar Analytics' segmentation capabilities.

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