Product Analyst
New
Germany. Candidates must be based in Europe (including the UK)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years of professional experience in analytics, business intelligence, or data-focused roles.
- Required Skills
- PythonSQLBusiness IntelligenceData AnalysisMicrosoft Power BITableauBigQueryLooker
Requirements
- Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Economics, or a related field.
- At least 5 years of professional experience in analytics, business intelligence, or data-focused roles.
- Strong proficiency with analytics and BI tools such as Looker, Tableau, or Power BI.
- Advanced SQL skills with experience working on large datasets and performing data extraction and manipulation.
- Solid experience using Python for data analysis, automation, and statistical modeling.
- Familiarity with cloud-based data platforms and technologies such as BigQuery.
- Good understanding of statistical methods including regression analysis, clustering, and hypothesis testing.
- Ability to interpret outputs from statistical and data science models and translate them into business insights.
- Proven experience delivering measurable business impact through data-driven recommendations.
- Excellent analytical thinking, problem-solving abilities, and attention to detail.
- Strong communication and presentation skills, with the ability to explain complex findings clearly to diverse audiences.
Responsibilities
- Analyze large and complex datasets to identify trends, business opportunities, and key performance drivers that support strategic decision-making.
- Conduct statistical analyses and hypothesis testing to validate findings and provide actionable recommendations to stakeholders.
- Develop and apply statistical models to improve business processes, product performance, and operational efficiency.
- Collaborate with data engineering teams to enhance data pipelines, improve data quality, and streamline analytics workflows.
- Translate complex analytical challenges into clear business insights for both technical and non-technical audiences.
- Build and improve self-service analytics solutions that empower teams to independently access and interpret data.
- Explore and implement innovative analytical methods and AI-driven tools to increase the speed, scalability, and effectiveness of insights generation.
- Partner closely with product, engineering, marketing, and other cross-functional teams to align analytics initiatives with broader organizational goals.
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