Data Analyst
Summary
Data Analyst on Penlink's data product team in Herzliya, analyzing large-scale datasets for digital intelligence tools used by public safety organizations. Day to day: data quality assessments, analytical investigations, building dashboards and reports, and presenting insights to product and business stakeholders. Core stack: SQL and Python, with AWS/Athena a plus.
About us:
Penlink is a global leader in digital intelligence solutions. Our advanced technologies simplify complex data, empowering public safety organizations to make informed decisions quickly and effectively. We believe in the power of data-driven intelligence to accelerate clarity in decision-making for global security, strategic operations, and the most critical missions. Headquartered in the US with offices worldwide.
About the Role:
We are seeking a talented and driven Data Analyst to join our data product team. This role combines analytical expertise, strong technical skills, and a deep understanding of large-scale datasets to support product development and business growth. As a Data Analyst, you will work closely with Product, Development, and Business teams to transform complex data into actionable insights and enable data-driven decision making.
Responsibilities
- Lead and execute data analyses, data quality assessments, validation processes, and analytical investigations to provide actionable insights.
- Analyze large-scale datasets to evaluate new data sources, identify trends, and uncover business opportunities.
- Research, design, and validate data models and methodologies to support product and development teams, as well as customer needs.
- Develop, maintain, and improve dashboards, reports, and monitoring tools for tracking key business and product metrics.
- Present findings and recommendations to both technical and non-technical stakeholders.
Requirements
- At least 2 years of experience as a Data Analyst, Product Analyst, or similar role.
- Strong SQL proficiency.
- Experience with Python for data analysis and automation.
- Experience working with large-scale datasets and analytical investigations.
- Fluent in English.
Advantages
- Experience with Geospatial, Location Intelligence, or Cyber data.
- Experience with AWS services, particularly Athena.
- Experience working with Datadog, Apache Spark, or Power BI.
- Experience using AI tools for data analysis, research, and productivity enhancement.