We are growing and are looking for future employees who value personal and career growth, team-work, and winning!
As part of our rapid growth we are looking for a Senior Product Analyst to join the data group in our product department.
What your day will look like:
Collaborate with members of the Product, Engineering and Data teams to improve business decisions using data, identify process improvement opportunities
Assist the product team in improving presented value, propose system modifications, and devise data governance strategies
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
Collaborate closely with the Data Science team to develop and review training labels, analyze model results for potential feature biases, and contribute to model insights, accuracy KPIs, and the overall model decisioning process. Familiarity with metrics such as recall and precision is essential.
Extract and analyze data coming from our product, using different data platforms and tools (Snowflake, Python, etc.)
From your analysis, generate content and configurations that would then be loaded into our production engines to deliver improved customer value
Present key findings to stakeholders across the company in order to drive business and product decisions
Explore new and unmapped data domains that can push our product and customer value forward
Become the focal point for all data related matters in your projects, own and manage multiple data projects on an on-going and an ad-hoc basis
Develop automated solutions to collect and extract data from external sources to accelerate manual operations
Requirements: 5+ years of work experience in data analysis, product analytics and cybersecurity data research
Proven expertise (3+ years) in Python, with a production-level design and coding skills
Proven record in building data sets for fine tuning ML models, methods for QAing and probing models
Background in data analysis in a cybersecurity context and company
Proven record in user behavior analysis (Mixpanel)
Advanced knowledge and proficiency in SQL
Strong statistical foundations. High proficiency in Excel/Google Sheets, Elastic and Kibana
Experience working with BI tools (Looker, Tableau, Redashetc.)
Programming experience in Python and Jupyter notebooks
Experience in product analytics tools and methodology, instrumenting the product, data modeling, events and funnel tracking and proven ability to drive product insights.
Experience working with analytics tools like Mixpanel, Amplitude, Pendo, etc.
Excellent multitasking and problem-solving abilities. Accuracy and attention to detail
Strong communication skills and excellent English
Superb data storytelling ability to influence audiences at all levels, including executive leadership
Advantages:
Experience with Relational DBs and Data Warehouses (e.g. MySQL, PostgreSQL, Redshift, Snowflake)
Educational Foundation: A bachelor's degree (BA/B.Sc.) in a field emphasizing statistical and analytical skills, such as computer science, industrial engineering, statistics, math or an equivalent field
Basic knowledge in HTML, CSS, JavaScript, etc.
Knowledge of cyber security compliance frameworks (e.g GDPR, PCI-DSS, NIST CSF)
This position is open to all candidates.
