Product Data Analyst Job at Ruby Labs

Product Data Analyst

As a Product Data Analyst at Phorest, you’ll be embedded at the heart of our pro...

Location

Ireland

Salary:

Not provided

Phorest

Expiration Date

Until further notice

Requirements

3+ years of experience in data analytics, ideally with some of that time in a product analytics context or working directly alongside a product team
Strong proficiency in SQL, with the ability to write complex queries across large datasets
Hands-on experience with Looker (LookML, dashboards, explores) — a core requirement for this role
Solid understanding of the product development lifecycle and how data fits into agile ways of working
Strong data visualisation and communication skills — you can tell a clear story with data for both technical and non-technical audiences
Analytical mindset with strong attention to detail and a rigorous approach to data accuracy
Self-starter who can manage competing priorities and work independently in a fast-moving environment

Job Responsibility

Partner with Product Managers and teams to define success metrics, instrument features, and measure the impact of product changes and releases
Build and maintain Looker dashboards and explores that surface product usage, engagement, retention, and funnel metrics to stakeholders across the business
Conduct deep-dive analyses on user behaviour, feature adoption, and churn signals to surface actionable insights that inform product roadmap decisions
Define and maintain a product metrics framework, ensuring consistency in how KPIs are measured and reported across teams
Support A/B testing and experimentation, helping teams design experiments, interpret results, and make statistically sound decisions
Collaborate with Data Engineering to ensure the right events and data points are captured, pipelines are reliable, and the data model supports product analytics needs
Proactively monitor product metrics, flagging anomalies, trends, and opportunities to the relevant teams
Contribute to data literacy across product teams, coaching team members on self-serve analytics, dashboard use, and metric interpretation
Support ad hoc analytical requests from product and leadership, delivering timely and rigorous analysis

What we offer

private healthcare
2 Wellness Days
employee assistance program
free online GP service
competitive Compensation
Employee Share Purchase Scheme
Pension
Life Assurance
Income Protection
bike to work scheme

Fulltime

Product Data Analyst

At HelloConnect, you will be part of a dynamic team in Inoza tower, BGC that emb...

Location

Philippines , Manila

Salary:

Not provided

HelloFresh

Expiration Date

Until further notice

Requirements

Proficient in SQL for data extraction, transformation, and analysis
Experienced in Python (Pandas, NumPy, Scikit-learn, etc.) for data analysis, modeling, and automation
Solid understanding of statistical methods and A/B testing for experimental analysis
Skilled in using data visualization tools (e.g., Tableau, Power BI, Looker) to create clear and insightful dashboards
Experienced in building and maintaining data pipelines and ETL processes for efficient data management
Strong ability to translate business questions into analytical frameworks and structured problem-solving approaches
Proven experience in analyzing product performance, user behavior, and business metrics to identify trends and opportunities
Adept at generating actionable insights and data-driven recommendations from complex datasets

Job Responsibility

Support product and business decision-making by translating requirements into clear analytical questions and delivering actionable insights
Perform in-depth analysis using SQL, Python, and statistical techniques to evaluate product performance, user behavior, and business metrics
Build data pipelines, automation scripts, and analytical tools to streamline analysis processes
Create self-service dashboards and reports when appropriate, with the primary focus on generating insights and recommendations
Ensure data accuracy and integrity by applying robust validation and quality checks
Analyze A/B tests and product changes to measure impact and inform product decisions
Collaborate with stakeholders to present findings, guide discussions, and recommend next steps based on data
Maintain comprehensive documentation for analytics projects, tools, and methodologies
Take ownership of analytical deliverables, ensuring they remain accurate, relevant, and aligned with evolving business needs
Provide ad-hoc analyses and deep dives on strategic questions from leadership and cross-functional teams

What we offer

Competitive Compensation
Long Service Benefits (anniversary bonus)
Wellness & Perks
mental health support
HMO medical coverage
generous leave benefits
life insurance
Growth Opportunities
annual learning & development budget
access to the 360 Learning platform

Product Data Analyst

This role sits at the intersection of product, data, and behavioral science. You...

Location

Salary:

3500.00 - 4500.00 USD / Month

Agent

Expiration Date

Until further notice

Requirements

2+ years in Product Analytics, Growth Analytics, Data Analytics, or a similar role supporting digital products
Strong experience with Mixpanel (dashboards, event tracking, taxonomy, validation)
Proficiency in SQL for structured and unstructured data
Experience using Python for analysis, automation, or data processing
Experience with Snowflake, including pipelines, data sources, and visualizations
Solid foundation in statistics, including experiment design, hypothesis testing, and regression
Ability to read and understand application code for debugging analytics instrumentation
Bachelor’s degree in a technical, quantitative, or behavioral science field preferred
Strong communication skills — able to translate complex analysis into clear business insights
Curious, collaborative, and impact-driven

Job Responsibility

Partner with Product to inform feature development and behavioral interventions through data
Design hypotheses, run experiments, and analyze results
Conduct exploratory and statistical analyses to uncover user behavior patterns and performance trends
Build and maintain Mixpanel dashboards to track user engagement and product health
Define and validate Mixpanel event tracking and troubleshoot instrumentation issues
Write SQL to query internal databases and Snowflake
Develop Python scripts for data processing, automation, and statistical analysis
Build and maintain Fresh Tri’s Snowflake data warehouse, including schema design and data ingestion
Create and maintain BI visualizations for stakeholders
Partner with Engineering to ensure data quality and pipeline reliability

Fulltime

Product Data Analyst

This role sits at the intersection of product, data, and behavioral science. You...

Location

Brazil; Argentina; Colombia; Mexico

Salary:

3500.00 - 4500.00 USD / Month

Agent

Expiration Date

Until further notice

Requirements

2+ years in Product Analytics, Growth Analytics, Data Analytics, or a similar role supporting digital products
Strong experience with Mixpanel (dashboards, event tracking, taxonomy, validation)
Proficiency in SQL for structured and unstructured data
Experience using Python for analysis, automation, or data processing
Experience with Snowflake, including pipelines, data sources, and visualizations
Solid foundation in statistics, including experiment design, hypothesis testing, and regression
Ability to read and understand application code for debugging analytics instrumentation
Bachelor’s degree in a technical, quantitative, or behavioral science field preferred
Strong communication skills — able to translate complex analysis into clear business insights
Curious, collaborative, and impact-driven

Job Responsibility

Partner with Product to inform feature development and behavioral interventions through data
Design hypotheses, run experiments, and analyze results
Conduct exploratory and statistical analyses to uncover user behavior patterns and performance trends
Build and maintain Mixpanel dashboards to track user engagement and product health
Define and validate Mixpanel event tracking and troubleshoot instrumentation issues
Write SQL to query internal databases and Snowflake
Develop Python scripts for data processing, automation, and statistical analysis
Build and maintain Fresh Tri’s Snowflake data warehouse, including schema design and data ingestion
Create and maintain BI visualizations for stakeholders
Partner with Engineering to ensure data quality and pipeline reliability

Fulltime

Sr. Technical Data Product Owner (Sr. Business Data Analyst)

We are looking for a Sr. Technical Data Product Owner (Sr. Business Data Analyst...

Location

United States , Richmond

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5 to 7 years of experience in business analysis, product ownership, or a related role within data, business intelligence, or data engineering environments
Demonstrated involvement in data migration initiatives, including work related to mapping, integration, or delivery coordination
Strong ability to gather requirements, identify gaps, and translate business requests into clear documentation and actionable plans
Working knowledge of data modeling, ETL processes, and data warehousing concepts
Experience validating datasets and analyzing outputs, with familiarity using BI tools such as Power BI for review purposes
Proven success managing stakeholders and collaborating with business partners, data engineers, and BI teams in fast-paced settings
Strong organizational skills, attention to detail, and comfort working within Agile delivery frameworks

Job Responsibility

Partner with stakeholders to capture business objectives, clarify data needs, and turn those inputs into thorough functional documentation
Lead data-focused project activities by coordinating requirements, source-to-target mapping, and planning for migration and integration efforts
Serve as the key connection point between business teams and Data/BI engineering resources to keep scope, priorities, and expectations aligned
Oversee delivery progress across multiple data workstreams, ensuring milestones are met and outcomes reflect agreed business goals
Review data results and perform analysis to confirm accuracy, completeness, and consistency with stakeholder expectations
Create process mockups or early solution concepts that help teams evaluate requirements and refine the proposed approach
Support testing, validation, and quality checks for data products to improve confidence in delivered solutions
Guide business users through handoffs, knowledge transfer, and adoption activities so new data capabilities are understood and used effectively
Build strong working relationships across teams and establish effective communication paths that support timely decisions and issue resolution

What we offer

medical, vision, dental, and life and disability insurance
enrollment in company 401(k) plan

Product Data Analyst (L3)

Location

India

Salary:

Not provided

Stytch

Expiration Date

Until further notice

Requirements

4+ years of experience in quantitative analysis, business intelligence, or data analytics, with a proven track record of converting complex, ambiguous data into actionable business results
4+ years of hands-on experience writing, optimizing, and performing quality assurance (QA) in SQL or relational database languages on a regular basis
Proficiency with modern BI tools, with a strong preference for Tableau and Looker (LookML)
Strong analytical mindset with the ability to decompose vague problem statements into clear, executable data strategies
Demonstrated ability to independently manage deliverables from initial requirement gathering through to stakeholder delivery with minimal guidance
Exceptional organizational skills with a track record of juggling multiple competing priorities and driving tasks to completion with reliable follow-through
Strong written and verbal communication skills with the ability to translate analytics insights into clear narratives and action items that influence stakeholder decisions

Job Responsibility

End-to-End Analytics: Own complex projects from scoping ambiguous problems to delivering actionable, data-driven insights
Product Strategy: Partner with PMs to define metrics, build reporting dashboards, and inject data into product planning
Technical Execution: Apply SQL and visualization tools (Looker, Tableau) to translate complex data into clear stakeholder recommendations
Data Standardisation: Maintain and document metrics, datasets, and models using Confluence and Datahub to ensure a single source of truth
Project Management: Balance multiple concurrent initiatives with clear prioritization and proactive status updates
Quality Assurance: Maintain rigorous data quality standards through robust validation and transparent quality control
AI-Driven Efficiency: Integrate modern AI tools into daily workflows to speed up SQL coding, analysis, and documentation

What we offer

competitive pay
generous time off
ample parental and wellness leave
healthcare
retirement savings program

Product Analyst - Data Insights & AI

We are looking for a Product Analyst to join our Analytics Products Engineering ...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

Bachelor's degree in Information Technology, Computer Science, or related field
3–5 years of experience in a Product Analyst, Business Analyst, or similar role within digital or data-driven environments
Strong grasp of Agile / SAFe and experience working in cross-functional product teams
Can translate designs and business needs into clear, structured, and testable product specifications
Communicate effectively and manage stakeholders with confidence
Confident in working closely with Product Managers, Designers, Data Scientists, and Engineers
Think analytically, enjoy solving problems, and pay strong attention to detail
Comfortable with ambiguity and can adapt quickly in fast-paced, AI-driven environments
Tech-savvy, curious, and proactive in exploring new tools and approaches
Familiar with Python, SQL, and general data concepts

Job Responsibility

Translate design inputs, user journeys, and business needs into clear functional specifications and structured requirements
Support the Product Manager in shaping features, user stories, and acceptance criteria
Ensure requirements are complete, consistent, and aligned with product objectives
Act as the bridge between design intent and technical implementation
Work closely with Data Science teams to define expected outputs, assumptions, and interpretation logic
Validate analytical and AI outputs against business expectations and use cases
Monitor product usage and operations, identifying improvement opportunities
Shape solution designs together with the Product Manager, Architect, and engineering teams
Define and maintain high-quality backlog items (Epics, Features, User Stories) and support sprint planning
Participate in estimation sessions and contribute to effort sizing with engineering and DevOps teams

Fulltime

Ufh Data Product Analyst

This 13 month secondment offers a unique opportunity to play a pivotal role in a...

Location

United Kingdom; India , Port Sunlight; Mumbai

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

Experience in data analytics, data engineering and data architecture, ideally in FMCG, R&D or consumer product environments
Strong capability in data visualization and analytics products (e.g. Power BI) for technical and non‑technical audiences
Working knowledge of modern data platforms (e.g. Azure, GCP), Data Transformation (SQL, Python) and data governance practices
Experience with laboratory, formulation, sensory or consumer testing data is highly desirable
Comfortable operating in matrixed, cross‑functional environments, with strong communication and stakeholder‑management skills

Job Responsibility

Own fragrance data products end‑to‑end during the secondment period, from data capture and integration through to analytics, dashboards and insight delivery
Design and embed pragmatic data architecture, standards and governance for fragrance, formulation and sensory data
Enable automated and scalable data capture, particularly from laboratory systems and digital lab tools, reducing manual effort and improving data quality
Translate complex datasets into clear, decision‑ready insights, working closely with R&D and business teams to define and track high‑value metrics
Act as a bridge between business and technology, partnering with Digital, IT and external providers to deliver analytics, AI and generative design capabilities
Champion data adoption and literacy, ensuring tools, dashboards and practices are well embedded by the end of the secondment

What we offer

friendly and inclusive workplace
create possibilities for all

Fulltime

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Product Data Analyst

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