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The Product Analyst will analyze complex data sets and produce actionable reports for stakeholders while collaborating with cross-functional teams. They will design and maintain dashboards to monitor performance metrics and build ETL pipelines for cloud-based data platforms.
Candidates should have a bachelor's degree in a quantitative field or equivalent experience, along with 5+ years in product analytics or data engineering. Proficiency in SQL, Python, and data visualization tools is essential, along with strong analytical and communication skills.
This position is posted by Jobgether on behalf of Truv. We are currently looking for a Product Analyst in Portugal / Cyprus / Georgia / Italy / Montenegro / Serbia / Spain / UAE. We are seeking a Product Analyst to transform complex data into actionable insights that drive business performance and strategic decision-making. This role offers the opportunity to collaborate across multiple teams, develop advanced analytics solutions, and influence product strategy through data-driven recommendations. You will work with modern data infrastructure, create dashboards, and maintain ETL pipelines to ensure timely and accurate insights. The role combines technical expertise with strong communication skills, allowing you to translate data into clear stories that impact stakeholders and product outcomes. Fully remote and flexible, this position is ideal for analytical thinkers passionate about shaping the future of financial data access. Accountabilities · Analyze complex data sets and produce insightful, actionable reports for stakeholders. · Collaborate with cross-functional teams to understand data needs and deliver solutions that support business objectives. · Design, develop, and maintain dashboards to monitor performance metrics in real time. · Identify trends, patterns, and areas for improvement, providing recommendations for action. · Build, maintain, and support ETL pipelines for cloud-based data platforms such as Clickhouse Cloud. · Translate data into clear, compelling visualizations and stories to inform decision-making. · Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics) or equivalent experience. · 5+ years of experience in product analytics, data analytics, or data engineering. · Strong proficiency in SQL, Python, Excel, and data visualization tools (e.g., Tableau, Metabase). · Experience with ETL tools such as Airflow or similar platforms. · Excellent analytical and problem-solving skills, with the ability to interpret complex data. · Strong communication and collaboration skills to work effectively with multiple teams. · Ability to translate technical data into actionable business insights and recommendations. · Fully remote work with flexibility across multiple countries. · Competitive salary and equity package. · Flexible time off to maintain work-life balance. · Opportunity to work with cutting-edge technology and innovative clients. · Contribute to shaping the future of financial data access in a growing and dynamic environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1
This job posting was last updated on 10/1/2025