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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** AUTNHIVE INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $70,364.0 - $84,739.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Cloud Storage, Continuous Integration, Extract Transform Load (ETL), Data Visualization, Database Queries, Decision Support Systems, Virtual Private Networks (VPN), JSON, Python (Programming Language), Meta-Data Management, Metadata Standards, Performance Tuning, Raw Data, Power BI, Security Information and Event Management, SQL Databases, Systems Integration, Tableau (Software), Unstructured Data, Workflow Management Systems, Data Logging, Feature Engineering, Large Language Models, Grafana, Advanced Reports, Generative AI, Git, Data Layers, Pandas, Pyspark, Data Lineage, Data Analytics, Oracle Cloud Infrastructure, Looker Analytics, Software Version Control, Data Pipelines - **Published:** May 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=71281ff54e8f6acd ## About the Role Do you have experience in Version control?, * 5+ years of experience in SQL & Python (Pandas / PySpark) for data querying, analysis, transformation, and automation. * Should have experience working with an AI team and should know how the data are prepared for GenAI solution. * Should be able to perform end-to-end feature engineering, including extraction, selection, transformation, and enrichment of raw data to make datasets suitable for training ML/GenAI models. * Strong hands-on experience with ETL & orchestration tools such as Airflow, Prefect, or Temporal to build robust data workflows. * Expertise in data modeling, cleaning, transformation, and handling structured/unstructured formats, including JSON schema understanding. * Good understanding of cybersecurity datasets such as SIEM logs, CVEs, vulnerability & asset inventory data. * Experience with OCI or similar cloud platforms, including Object Storage, Autonomous DB, Logging, hybrid integrations via VPN & private endpoints. * Knowledge of semantic modeling & ontology-based data relationships, metadata management, and lineage tracking. * Experience working in AI-enabled analytics environments (e.g., AI for BI), integrating GenAI/LLM-based Agents with BI tools such as Power BI, Looker, or Tableau to automate insight generation, reporting workflows, and data-driven decision support. * Hands-on with visualization tools (Power BI / Looker / Grafana), delivering performance dashboards and insights. * Experience working on at least one production-grade GenAI/LLM solution (e.g., RAG, AI Agents, automated workflows) and collaboration with AI teams for data readiness. * Familiarity with CI/CD for data pipelines, including testing, validation, and version control tools (e.g., Git, DVC), and experience with Agentic workflows. ## Description * Design, build, and maintain scalable data pipelines to collect, clean, transform, and validate structured & unstructured data from multiple internal and external sources. * Collaborate with data engineers, cybersecurity teams, AI/ML & LLM/Agent teams, and business stakeholders to define data needs and ensure data accuracy, security, and reliability. * Analyze cybersecurity datasets including SIEM logs, CVEs, vulnerabilities, and asset inventories to identify trends, anomalies, and actionable insights that strengthen security analytics. * Develop and maintain data models, semantic layers, ontology relationships, lineage documentation, and metadata standards to support governance, interoperability, and transparency. * Automate data workflows and scheduling using Airflow, Prefect, or Temporal; support CI/CD processes for data including validation, testing, and version control. * Integrate and manage datasets across OCI and hybrid environments, ensuring secure connectivity via VPNs, private endpoints, and cloud storage services. * Build and maintain dashboards and BI insights using Power BI, Looker, or Grafana to enable data-driven decisions for leadership and technical teams. * Support GenAI/LLM initiatives by preparing datasets, curating data pipelines, performing feature engineering, and enriching metadata to enable high-quality model training. * Contribute to AI-driven analytics (AI for BI) by integrating LLMs and Agent-based workflows with BI tools (Power BI, Looker, Tableau) to automate reporting and deliver deeper insights. * Continuously improve data quality, documentation, and analytical processes through performance optimization, stakeholder feedback, and best-practice implementation. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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