Product Analyst
Jobgether, New Bremen, OH, United States
Product Analyst in Germany
This role offers the opportunity to transform complex data into actionable insights that directly impact business strategy and decision‑making. You will work in a fast‑paced, remote‑first environment where autonomy, ownership, and impact are highly valued. As a Product Analyst, you will collaborate closely with cross‑functional teams—product, engineering, and marketing—to analyze large datasets, identify trends, and provide recommendations that improve customer experiences and business outcomes. Your expertise in statistical modeling, BI tools, and data pipelines will enable you to influence product decisions and contribute to the company’s growth. You will also explore innovative approaches, including AI‑driven analytics, to increase speed and scale in delivering insights. The role demands both technical proficiency and excellent communication skills to translate data into clear solutions for diverse stakeholders.
Accountabilities
Analyze large datasets to identify patterns, trends, and key performance drivers
Conduct statistical analysis and modeling to test hypotheses and validate business insights
Collaborate with data engineering teams to optimize and streamline data pipelines
Translate complex analytical findings into clear, actionable recommendations for cross‑functional teams
Develop self‑service analytics tools to empower stakeholders in data‑driven decision‑making
Experiment with AI and other innovative methods to enhance analytics efficiency and scalability
Support strategic initiatives by providing insights that inform product and business decisions
Requirements
Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Economics
Minimum of 5 years of experience in analytics, data science, or related roles
Proficiency in BI and analytics tools such as Looker, Tableau, or Power BI
Strong SQL skills and experience working with large datasets
Proficiency in Python for data analysis, scripting, and statistical modeling
Familiarity with cloud‑based data platforms such as BigQuery
Solid understanding of statistical methods, including regression, clustering, and hypothesis testing
Strong problem‑solving, critical thinking, and attention to detail
Effective communication and presentation skills for technical and non‑technical audiences
Experience in applying analytics to drive business strategy and product decisions
Benefits
Competitive salary with regular performance reviews
Fully remote within Europe or optional office presence in Vienna
Access to learning and development budget for courses, conferences, and skill growth
Dedicated personal growth and mental health support through expert sessions
Flexible work arrangements promoting work/life balance
Opportunities to collaborate during office weeks with team‑building events and workshops
Inclusive and diverse culture supporting personal and professional development
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Accountabilities
Analyze large datasets to identify patterns, trends, and key performance drivers
Conduct statistical analysis and modeling to test hypotheses and validate business insights
Collaborate with data engineering teams to optimize and streamline data pipelines
Translate complex analytical findings into clear, actionable recommendations for cross‑functional teams
Develop self‑service analytics tools to empower stakeholders in data‑driven decision‑making
Experiment with AI and other innovative methods to enhance analytics efficiency and scalability
Support strategic initiatives by providing insights that inform product and business decisions
Requirements
Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Economics
Minimum of 5 years of experience in analytics, data science, or related roles
Proficiency in BI and analytics tools such as Looker, Tableau, or Power BI
Strong SQL skills and experience working with large datasets
Proficiency in Python for data analysis, scripting, and statistical modeling
Familiarity with cloud‑based data platforms such as BigQuery
Solid understanding of statistical methods, including regression, clustering, and hypothesis testing
Strong problem‑solving, critical thinking, and attention to detail
Effective communication and presentation skills for technical and non‑technical audiences
Experience in applying analytics to drive business strategy and product decisions
Benefits
Competitive salary with regular performance reviews
Fully remote within Europe or optional office presence in Vienna
Access to learning and development budget for courses, conferences, and skill growth
Dedicated personal growth and mental health support through expert sessions
Flexible work arrangements promoting work/life balance
Opportunities to collaborate during office weeks with team‑building events and workshops
Inclusive and diverse culture supporting personal and professional development
#J-18808-Ljbffr