Intern – Data Analyst

This is a fully remote position, open to applicants in Kazakhstan.

📋 Description

• Collect and document requirements from internal stakeholders.

• Define, monitor, and report on key performance indicators (KPIs).

• Convert business inquiries into data models, queries, and dashboards.

• Prepare comprehensive reports and present insights to both technical and non-technical audiences.

• Assist in the development and maintenance of ELT pipelines from Segment to Snowflake.

• Oversee and verify the event data flowing through Segment, ensuring completeness, consistency, and accurate destination mapping.

• Support data quality audits across the Segment → Snowflake → Looker ecosystem.

• Investigate and document data discrepancies and pipeline failures.

• Aid in the development and upkeep of data models in Snowflake.

• Create dashboards and reports within Looker.

• Write and optimize SQL queries for Snowflake.

• Assist with fundamental LookML development, including views, explores, and measures.

• Implement data visualization best practices for clarity and audience suitability.

• Utilize AI tools (Claude, Copilot, ChatGPT) to enhance SQL writing, documentation, and analysis.

• Employ text-to-SQL and LLM-based tools for expedited data exploration.

• Prototype basic AI functionalities, such as anomaly detection and automated report summarization.

• Contribute suggestions for AI and automation integration within the team.

• Track tasks and engage in Agile sprints using Jira.

• Utilize Git/GitHub for version control of SQL, LookML, and Python scripts.

• Participate in code and dashboard evaluations.

• Document data models, event schemas, metric definitions, and pipeline logic.

⛳️ Requirements

• Fundamental knowledge of SQL; experience with Snowflake is preferred.

• Basic proficiency in Python (pandas, NumPy).

• Familiarity with Git and GitHub.

• Understanding of ELT/ETL processes.

• Practical experience with Looker or a similar business intelligence tool.

• Capability to create clear, audience-appropriate dashboards.

• Basic knowledge of LookML or a strong willingness to learn.

• Solid understanding of data visualization best practices.

• Basic comprehension of Customer Data Platforms (CDPs) and event tracking.

• Familiarity with Segment, including sources, destinations, and event schemas.

• Awareness of Personally Identifiable Information (PII) handling and basic data governance.

• Ability to gather, structure, and document requirements effectively.

• Comfortable facilitating discussions with non-technical stakeholders.

• Strong written communication skills, capable of transforming findings into clear narratives.

• Analytical mindset with the ability to ask pertinent questions and challenge assumptions.

• Comfortable utilizing AI tools for coding, analysis, and documentation.

• Basic understanding of LLMs: prompts, context, and limitations.

• Awareness of responsible AI practices, including privacy, output validation, and hallucination risks.

• Proficient in written and verbal communication in English.

• Detail-oriented, collaborative, curious, and self-motivated.

• Comfortable navigating ambiguity and eager to learn quickly.

🏝️ Benefits

• Join an established Silicon Valley leader in the cloud infrastructure sector.

• Collaborate with exceptionally passionate, talented, and engaging colleagues while assisting Fortune 500 and Global 2000 clients in implementing next-generation cloud technologies.

• Be a part of groundbreaking, open-source innovation.

• Flourish in the dynamic environment of a young company that values openness, collaboration, risk-taking, and continuous growth.

• Engage in professional development and training opportunities.

• Attend conferences and working groups.

• Participate in company outings, happy hours, hackathons, and tech talks.

• Receive a competitive compensation package along with a robust benefits plan.