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Product Analyst

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1 неделю назад
24 лютого 2025
Киевметро Арсенальная
Удаленная работа
Полная занятость
Курсы иностранного языка
Корпоративные мероприятия
Холодильник с едой
Офис возле метро
Офис с генератором

Our client is  a consumer-tech company that builds and scales digital-first brands to disrupt the offline-dominated beauty and wellness industries. The company’s first brand, defines and builds the future of beauty by using client’s unparalleled technology to connect people with superior, painstakingly tested, beauty products.

We are looking for a Product Data Analyst with a blend of technical skills and business vision to support the analysis and optimization of the brand’s marketing spend, across multiple traffic sources, and customer acquisition funnels. The responsibilities of this role will evolve and grow over time.

Responsibilities:

KEY FOCUS AREAS

  • Monitor Product Performance: Track and analyze the performance of key product features and A/B test results to ensure our offerings meet user expectations.

  • Deep Dive Analysis: Evaluate trends across various product segments and user journeys, examining data at granular levels to unearth insights.

  • Real-Time Issue Identification: Proactively detect anomalies and issues in product data as they arise, and support troubleshooting efforts for quick resolution.

  • Insightful Reporting: Create detailed reports and dynamic dashboards that translate complex data into actionable insights for the product team.

  • Strategic Project Execution: Lead targeted projects designed to improve product performance and optimize user engagement.

  • Optimization Opportunities: Identify and recommend opportunities to enhance key performance indicators, driving overall product value.

OTHER RESPONSIBILITIES

  • Data Infrastructure Enhancement: Design, develop, and continuously improve our product data and analytics infrastructure.

  • ETL and Data Pipeline Management: Build and monitor efficient ETL processes and data pipelines that integrate multiple product data sources.

  • Collaboration with Data Engineering: Work closely with data engineers to ensure seamless data workflows and robust system operations.

  • Performance Monitoring and Reporting: Regularly assess and report on product performance metrics, facilitating ongoing improvements.

  • Scalable Dashboard Implementation: Deploy scalable dashboard solutions to provide clear visibility into product metrics and trends.

  • Executive Support: Assist senior leadership with data analysis, predictive modeling, and reporting to inform strategic product decisions.

  • Innovative Opportunity Exploration: Investigate emerging trends and new data-driven opportunities that could lead to breakthroughs in product innovation.

  • Ad Hoc Analysis: Conduct exploratory analyses to identify key factors that can enhance product performance and user experience.

  • Commitment to Data Accuracy: Ensure all analyses are executed with a meticulous attention to detail, validating findings and considering edge cases.

  • Cross-Functional Collaboration: Partner with teams across product, technology, retention, and marketing to drive data-informed initiatives and support overall business growth.

TOOLS

Your day-to-day toolbox will include some of the below platforms/capabilities: 

  • SQL (PostgreSQL / Redshift, including DDL and DML), 

  • Looker (LookML, dashboards creation), 

  • Python (working with datasets, automation), 

  • Google Analytics, Google Tag Manager

  • Excel

REQUIREMENTS

  • MUST: B2+ level of English proficiency (main communication language in the company)

  • Experience querying data warehouses (SQL), analyzing data, and arriving at insights using qualitative techniques

  • Proven experience working with top-level management and the ability to explain complex analysis in simple words and insights

  • Ability to execute cross-department projects, with a solid understanding of how things get done

  • Bachelors / Masters degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, etc.)

  • 2+ years experience as a Data or Business Analyst (preferably at an e-commerce brand with a high volume of complex data)

  • Experience with at least one of the visualization tools (e.g., Looker, PowerBI, Tableau) - links to the portfolio are welcome

WOULD BE A PLUS

  • Experience with Python 

  • Experience with ETL tools and processes

  • Knowledge of S2S integrations, Pixel 

  • Understanding of product tests, experience with website AB testing tools

WE OFFER

  • Competitive salary package

  • Health insurance

  • Sport compensation

  • English courses (optional)

  • A class office in Kyiv at Creative States (Arsenalna metro station) with a safe shelter and 24/7 access

  • Opportunities for professional development and growth

  • A dynamic and collaborative work environment

contacts photo

Олена

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