Data Analyst

About the Role

We are looking for a curious and analytical professional to join a fast-growing technology company focused on large-scale data intelligence and platform analysis.

In this role, you will explore complex digital ecosystems, investigate how modern enterprise platforms operate, and help transform technical findings into scalable product capabilities.

Responsibilities

Technology & Platform Analysis

• Investigate external software platforms, cloud services, and enterprise technologies to understand their architecture, capabilities, and data structures
• .Identify opportunities to expand data coverage and enhance product intelligence

Data & Product Enableme

• Translate research findings into structured datasets and actionable insights that support product development initiatives
• Work closely with technical teams to improve data accuracy, scalability, and coverage

Cross-Team Partners

• Collaborate with Product Managers, Engineers, Data Specialists, and Researchers to support the design and delivery of new capabilities
• Contribute to technical discussions around integrations, platform mapping, and data strategy

Knowledge Manage

• Create clear documentation, research summaries, and technical recommendations
• Maintain internal knowledge repositories related to technologies, integrations, and industry trends

Market & Technology Explor

• Continuously monitor developments across enterprise software, cloud technologies, cybersecurity, identity management, and emerging SaaS solutions
• Develop expertise in unfamiliar domains through independent investigation and hands-on learning

Requiremetns

• 1+ years of experience in a technology-focused environment
• Experience working with data-centric products, analytics initiatives, or technical research projects
• Strong SQL capabilities, including complex queries, data manipulation, and performance optimization
• Proficiency in Python for data processing, automation, or analysis
• Ability to analyze large datasets, identify anomalies, validate data integrity, and generate meaningful insights
• Strong understanding of APIs, relational databases, and data structures
• Excellent analytical and problem-solving skills with a high level of ownership and attention to details
• Ability to learn new technologies quickly and operate effectively in a dynamic environment

Nice to have:

• Familiarity with public cloud environments such as AWS, Azure, GCP
• Exposure to enterprise software ecosystems and business applications
• Understanding of authentication, authorization, and identity-related technologies
• Basic knowledge of data warehousing, ETL/ELT processes, and modern data infrastructure
• Experience researching or integrating third-party platforms and services