[Remote] Product Analyst at Atlan

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Strong experience in analytics engineering, data analysis, business intelligence, or product analytics (preferably in SaaS, B2B, or technology environments)
Proficiency with SQL and at least one data visualization tool (e.g., Looker, Tableau, Mode, Power BI)
Comfort working with data from multiple sources (sales systems, product telemetry, engineering tools, JIRA, Salesforce APIs and Data Structures)
Ability to frame ambiguous problems, run analyses, and present clear narratives to stakeholders
Strong communication skills — able to simplify complexity and influence decisions with data

Responsibilities

Analyze & Synthesize Data: Build and maintain dashboards and reports that cut across sales performance, product adoption, engineering efficiency, and customer solution usage
Analyze & Synthesize Data: Conduct deep dives into product, connector, and app usage to highlight trends, opportunities, and gaps
Analyze & Synthesize Data: Translate complex data into clear, actionable insights for leadership
Enable Decision-Making: Partner with business leaders to diagnose problems, uncover opportunities, and recommend solutions backed by data
Enable Decision-Making: Deliver timely analyses to support GTM planning, product strategy, and engineering prioritization
Enable Decision-Making: Gather requirements across cross-functional stakeholders and develop scalable, repeatable business processes that ensure our upstream data is capable of delivering quality outcomes
Build Scalable Systems: Define and standardize key metrics across sales, product, and engineering
Build Scalable Systems: Automate recurring analyses, reporting, and data quality checks
Build Scalable Systems: Create frameworks to measure the impact of new product launches, connectors, and solutions
Build Scalable Systems: Build a talk-to-data solution to democratize data access in Product Management
Cross-Functional Collaboration: Work closely with Sales Engineering, Solutions, and Product teams to connect customer behavior with business outcomes
Cross-Functional Collaboration: Collaborate with Engineering to identify efficiency levers and highlight areas for improvement

Skills

Atlan

Unified platform for data management and collaboration

About Atlan

Atlan offers a platform for data management that helps teams access and understand their data while promoting collaboration. Its unique data catalog organizes metadata, reducing data silos and integrating with various industry tools to create a comprehensive data stack. The company uses a pay-as-you-go revenue model, making it flexible for businesses of all sizes, and is known for its strong customer service with quick response times. Atlan's goal is to streamline data management processes, enhancing data accessibility and collaboration for organizations.

Singapore, SingaporeHeadquarters

2019Year Founded

$195.5MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees

Benefits

Remote Work Options

Risks

Emerging startups with similar capabilities could dilute Atlan's market share.

Rapid AI evolution may require Atlan to invest heavily in R&D.

Over-reliance on key partnerships poses risks if terms change or dissolve.

Differentiation

Atlan offers a unique data catalog that organizes and activates metadata effectively.

The platform integrates seamlessly with tools like Slack, Snowflake, and Tableau.

Atlan provides a personalized, collaboration-first experience for data management.

Upsides

Atlan raised $105M in Series C funding, boosting its valuation to $750 million.

The demand for data democratization tools is increasing, benefiting Atlan's offerings.

Growing interest in AI and machine learning enhances Atlan's data processing capabilities.

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