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Mid LevelFull-timePythonData ScienceAI
Salary Range
$86,190 - $116,610 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Product Data Analyst to join Apono, a company that empowers organizations to run in the cloud by aligning operations and security around access management. This role involves analyzing product data to identify trends and provide insights that support strategic decision-making.
Key Responsibilities
- →Collect, analyze, and interpret large volumes of data generated by the product to identify trends, patterns, and actionable insights.
- →Provide data-driven recommendations and insights to support strategic decision-making processes and product roadmap prioritization.
- →Collaborate closely with product managers, engineers, and business stakeholders to understand customer needs.
- →Identify opportunities for feature improvements and new feature development based on data analysis.
- →Help understand customer value and build ROI and champion-enablement reports.
- →Effectively communicate findings, insights, and recommendations to stakeholders through clear and concise reports, presentations, and visualizations.
- →Conduct market research in the security and compliance realms and be a Product evangelist and close partner for Sales, Marketing and Customer Success stakeholders.
Requirements
- ✓2+ years of proven experience in the field of data, preferably in a product-focused environment.
- ✓Skilled in SQL programming - Must.
- ✓Experience with modern data tooling such as Snowflake and dbt for data transformation and analytics workflows.
- ✓Excellent problem-solving skills, with the ability to analyze complex data and derive actionable insights in the ever-evolving AI landscape.
- ✓Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams.
- ✓Experience working in B2B Security companies - Advantage
- ✓Bachelor's degree in a quantitative field such as Data Science, Statistics, Computer Science, Industrial Engineering or other technical disciplines - Advantage.
- ✓Familiar with Python for data manipulation and analysis, using libraries like pandas, NumPy, and scikit-learn - Advantage.
