Data Analyst

Why Join Us?

We are looking for a Data Analyst to join our Harmony SaaS Data Team.

Who has a passion for data analysis, SaaS research, and cybersecurity, and who has a desire to solve complex challenges by leveraging data to drive insights, automation, and risk mitigation in SaaS.

We use an interesting and mixed technology stack, including BigQuery, Python, SQL, and cloud platforms (GCP).

In this position, you will use your expertise in data analysis, SaaS security, and automation, and will analyze large datasets, transform raw data into actionable insights, conduct research on SaaS applications, assess security risks, and collaborate on building scalable processes and tools for continuous data enrichment.

Key Responsibilities

• Analyze, optimize, and develop methodologies for efficiently identifying SaaS solutions.
• Transform raw data into informative and actionable features.
• Conduct research on SaaS applications, develop automation processes, and generate reports/updates for clients.
• Conduct research and analysis as part of SSPM (SaaS Security Posture Management), focusing on security configurations across SaaS platforms and generating recommendations.
• Perform risk assessments related to SaaS and application usage.
• Monitor security trends and research SaaS applications to identify opportunities for automation and data enrichment.
• Collaborate effectively within a team while maintaining a high level of professional autonomy.
  
  

• 3+ years of experience in data analysis/cybersecurity analysis or related roles.
• Strong SQL skills and working knowledge of Python.
• Experience working with big data environments and analytics tools.
• Proven ability to turn complex data into clear, actionable insights.
• Hands-on experience in SaaS environments and a cybersecurity background – a strong advantage.
• Knowledge of networking and network protocols - an advantage.
• Experience building web scrapers for data collection - an advantage.
• Familiarity with cloud platforms (GCP, AWS, Azure, Databricks) and data warehouses (BigQuery).
• Experience writing reports and insights for clients and stakeholders – an advantage.
• Excellent interpersonal and communication skills.
• Creative, proactive, quick learner, goal-oriented, and independent.
• Ability to work independently in a dynamic and fast-paced environment.
• Proven ability to research, prototype, and implement solutions in short timeframes.
• BSc (or equivalent work experience) in a quantitative field such as Computer Science, Mathematics, Statistics, or another relevant domain.