Business Intelligence Senior Data Analyst

Business Data Analysts (AI) at Lemmata are responsible for transforming raw fragmented and siloed real-time data into actionable AI business insights that drive business profitability. This role involves overseeing real-time data systems, ensuring data integrity, mapping data to business knowledge / operating models and developing visualizations that are targeted at solving complex business problems, in a simple and rapid manner.

• We are a Scalable AI Insights company solving complex business problems using real time data directly mapped to a company’s business operating model.
• 250 data connectors that automate real-time data ingestion from disparate Apps and Tools.
• Scalable AI Data Platform that ingests, visualizes and generates prompt based insights to accelerate profitability.
• Trained and trusted prompts that produce on-demand visualizations and actionable knowledge based business insights.
  

• Build and deliver a business context semantic layer that effectively translates complex data from fragmented data sources, like CRM’s, Data Lakes, ERP, POS etc., into business outcome models.
• Collaborate with customers and Business development teams to gather data ingestion and reporting requirements.
• Develop and enhance data pipelines and ETL/ELT processes to ensure efficiency and scalability.  
• Design, develop, and maintain Semantic models ensuring data accuracy and consistency
• Optimize data models and scripts for efficient data analysis and performance.
• Implement advanced statistical methods for data model accuracy and reliability.
• Build interactive, visually appealing dashboards preferably using Qlik Sense, with added experience on Tableau or PowerBI.
• Hands-on experience in building effective NLQ prompts under Qlik insights advisor and Qlik answers.
• Design and refactor data lakes to improve data quality, discoverability, and exploration capabilities.
• Monitor query performance, optimize data models, and automate anomaly detection.
• Practical experience applying AI techniques (e.g., trend detection, anomaly detection, forecasting, natural language processing/summarization) to support business analysis and decision-making

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• Bachelor’s degree in Computer Science, Business Information Systems, Data Science or a related field.
• 8 years of experience in end-to-end data management (governance, quality, warehousing, BI, and data science).
• Deep understanding of applying data to strategic planning and business processes.
• 5 years managing enterprise-grade business data, across a range of business verticals  domains for developing based contextual business insights.
• 5 years in data modeling, ETL/ELT, and integration across enterprise applications and RDBMS/big data systems.
• 5 years of experience in Visualization tools like Qlik Sense development, with a strong understanding of data modeling, scripting, and visualization principles.
• Strong experience with Qlik, Tableau, PowerBI, SQL/NoSQL, and advanced data technologies (Databricks, Spark, AWS, Snowflake, etc.).
• Excellent analytical, problem-solving, communication, and collaboration skills.
• Ability to work both independently and as part of a team, with a proactive attitude toward complex challenges.
  

• Knowledge of Python / R for building custom data processing scripts or integrating machine learning models.
• Familiarity with building or deploying machine learning models, allowing for deeper data analysis and prediction capabilities within the BI framework.
• Understanding of SOC2, HIPAA, GDPR, CCPA, or other data protection regulations, ensuring that data handling practices meet legal standards.
• Experience with data encryption, access control, and general data security best practices, particularly in sensitive or regulated industries.

We are creating an employee experience where everyone feels appreciated, has a sense of belonging, can grow, and finds purpose in their work. We are an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will be considered for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected characteristic.