תיאור המשרה
Description
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 drive 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
Minimum of 2 years of experience as a Data Analyst or Product Analyst.
Strong proficiency in SQL
Experience working with large-scale datasets and analytical investigations.
Experience with Python for data analysis and automation.
Fluent in English.
Preferred Qualifications:
Experience with AWS Athena is an advantage.
Experience with Geospatial, Location Intelligence, or Cyber data.
Experience working with AWS, Datadog, Apache Spark, or Tableau.
Experience working with AI tools and leveraging AI for data analysis, research, and productivity.