Senior Data Analyst, Product Job at Articulate

Senior Data Analyst, Product

Articulate

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

115600.00 - 153170.00 USD / Year

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Job Description:

Articulate is looking for a Senior Product Data Analyst to join our amazing Data team! As a Senior Product Data Analyst, you’ll collaborate closely with one of our product teams to collect and analyze data that helps us build the best experience for our customers. You'll use structured and unstructured data to understand customer problems and behavior through statistical analysis and data visualization. You’ll conduct ad-hoc analyses and build data tools, such as dashboards and reports, to enable ongoing data exploration and improve our data infrastructure.

Job Responsibility:

Serve as a strategic analytics partner to product managers, UX researchers, and engineers to define analytics requirements for new product features, including identifying key user behaviors and success metrics
Create scalable product analytics dashboards and self-service tools tailored to product managers, UX partners, engineers, and designers, using SQL, Looker, Mixpanel, Metabase, Python, or R
Partner with engineering and analytics engineering to implement and QA product event collection with Segment, ensuring events follow naming conventions, are consistently structured, and are modeled for high-quality downstream analytics
audit event coverage to identify gaps and improve the reliability of behavioral data
Conduct deep-dive behavioral analyses (e.g., funnel, cohort, time-to-value, retention, feature adoption) to uncover user needs, friction points, and opportunities to improve the product experience
Synthesize quantitative data with qualitative insights to inform product strategy and shape feature roadmaps
Build frameworks that measure long-term product engagement, user journeys, and the impact of new features on customer outcomes
Collaborate with product teams to design, instrument, and analyze A/B tests and other experimental methodologies
provide interpretation of lift, impact, and risks
Support product discovery by developing hypotheses, generating exploratory analyses, and identifying emergent behavioral patterns
Validate data accuracy by comparing results across source systems and performing root-cause analysis on anomalies or unexpected metric behavior
Enable self-service analytics by educating stakeholders on data sources, metric definitions, and reporting tools
identify opportunities to improve clarity and usability of reporting
Partner with Analytics Engineering and Data Engineering teams to define data requirements, improve data quality, and ensure reliable data pipelines and modeling layers
Contribute to and uphold team best practices for data modeling, visualization standards, and documentation
Participate in peer review processes for data models, dashboards, and analyses, ensuring quality, consistency, and alignment with team standards
Share knowledge and emerging best practices with teammates, contributing to documentation and helping strengthen data literacy across the organization
Support hiring processes for new analysts by participating in interview loops or technical assessments, as needed

Requirements:

5+ years of experience in data analysis, business intelligence, or a related quantitative field
Demonstrated experience in product analytics for a B2B SaaS product, including funnel analysis, retention modeling, cohort analysis, and feature adoption metrics
Strong proficiency in SQL, including both ad-hoc querying and data modeling for analytical reporting, especially for event-level datasets and behavioral analytics
Strong experience instrumenting and validating product usage event data, preferably using Segment or comparable customer data platforms
Experience with at least one data visualization platform (Looker or Metabase preferred) with the ability to design intuitive dashboards and optimize reporting structures
Ability to validate data across complex or undocumented systems, ensuring accuracy and consistency across outputs
Proven ability to translate product questions into structured analytical approaches that inform feature development and product strategy
Experience partnering directly with product managers, UX researchers, and engineers to define metrics, design experiments, and support product discovery
Ability to communicate user behavior insights in a compelling narrative that informs product decisions for both technical and non-technical stakeholders

Nice to have:

Experience defining and maintaining a product analytics tracking plan or taxonomy
Experience implementing best practices for client-side and server-side event tracking, including schema governance and QA workflows
Experience using Mixpanel or a similar tool to visualize user behavior funnels and analyze product data
Experience working with product experiment platforms and A/B testing
Familiarity with data engineering or analytics engineering concepts (e.g., dbt, ETL workflows, version control, data model documentation)
Experience with survey feedback analysis and qualitative analysis

What we offer:

bonus-eligible
robust suite of benefits

Additional Information:

Job Posted:
February 19, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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