We are seeking a highly skilled and experienced Senior Data Analytics Engineer to join our dynamic AI-hub development team. In this role, you will be responsible for building and maintaining the data infrastructure that supports AI-hub intelligent features and provides valuable insights to our users. You will have the opportunity to work on a cutting-edge innovative project, collaborate with a talented team, and play a critical role in shaping the future of AI-powered workplace productivity.

About the AI-hub Project

AI-hub is an innovative AI platform designed to be your team’s entry point to Generative AI, offering a natural language interface that seamlessly integrates with your existing knowledge and applications. With AI-hub, you can build tailored AI Agents, search for documents, browse the web, and more – all in one place. AI-hub builds a knowledge index using LLM-native techniques. Powered with contextual retrieval, advanced RAG, hybrid search, and AI-generated knowledge graphs, AI-hub ensures the most relevant results and the least hallucinations. 

Responsibilities:

• Data Collection & Management: Design and implement robust data collection pipelines from multiple internal and external sources, ensuring data quality and reliability.
• Data Cleaning & Preparation: Develop and maintain data cleaning and transformation processes to prepare data for analysis and modeling.
• Data Analysis & Interpretation: Conduct in-depth data analysis to identify trends, patterns, and insights that can be used to improve AI-hub performance and user experience.
• Data Visualization & Reporting: Create compelling data visualizations and reports to communicate key findings to stakeholders, including product managers, engineers, and business leaders.
• Business Decision Support: Provide data-driven insights and recommendations to support strategic decision-making across the organization.
• Collaboration & Communication: Work closely with cross-functional teams to understand their data needs and provide them with the tools and support they need to succeed.
• Tools & Technology Use: Evaluate, select, and implement appropriate data analytics tools and technologies to meet the evolving needs of the AI-hub project.

Requirements:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data analytics, data engineering, or a similar role.
• Strong proficiency in SQL and experience with relational databases such as PostgreSQL or MySQL.
• Experience with data warehousing solutions such as Snowflake or BigQuery.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent analytical, problem-solving, and communication skills.

Nice to Have:

• Experience with cloud platforms (AWS, GCP, or Azure).
• Master’s degree in a relevant field.
• Experience with cloud-based data analytics platforms such as AWS Analytics, Azure Synapse Analytics, or Google Cloud Dataflow.
• Experience with big data technologies such as Spark or Hadoop.
• Familiarity with machine learning concepts and techniques.
• Knowledge of CI/CD practices for analytics projects.