What are the responsibilities and job description for the Lead Data Analytics Engineer - BI & AI / ML position at Artmac Soft LLC?
Who we are :
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description :
Job Title : Lead Data Analytics Engineer - BI & AI / ML
Job Type : C2C
Experience : 8-14 Years
Location : Dallas, Texas
Responsibilities :
- Proven experience in application development, BI tools, AI, and machine learning.
- Experience with automated insights and recommendation systems.
- Knowledge of optimization algorithms and scenario analysis techniques
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Ability to translate complex data into actionable insights and compelling data stories.
- Advanced proficiency in SQL for complex data manipulation and querying.
- Expertise in Python for data analysis, machine learning, and automation.
- Strong knowledge of AI / ML techniques, including NLP, predictive modeling, and anomaly detection.
- Experience with BI tools such as Tableau, Power BI, or similar platforms.
- Experience with analytics tools such as Adobe Analytics.
- Familiarity with optimization algorithms and scenario analysis techniques.
- Understanding of user behavior analysis, path analysis, journey analysis, and attribution models.
- Self-Service BI Tools Development :
- Develop and consolidate self-service BI tools enabling users to create custom reports and dashboards.
- Design and implement intuitive, user-friendly interfaces with drag-and-drop functionalities for seamless report and dashboard creation.
- Advanced and Augmented Analytics :
- Apply AI and machine learning techniques to automate data preparation, generate insights, and predict future outcomes.
- Implement natural language processing (NLP) capabilities for querying and interpreting data, enhancing data accessibility.
- Develop AI / ML-driven data discovery models for forecasting and anomaly detection.
- Calculate propensity scores to identify high-value customers and optimize decision-making processes.
- Automated Insights and Recommendations :
- Create and implement algorithms for generating automated insights and actionable recommendations.
- Utilize optimization algorithms for decision support and conduct scenario analysis and what-if simulations.
- Collaborative Analytics :
- Build robust visualization and reporting tools to transform complex data into actionable insights through interactive dashboards and automated reports.
- Enhance data visualization techniques to tell compelling data stories and drive actionable insights with customizable dashboards.
- User Behavior and Interaction Analysis :
- Develop solutions that provide deep insights into user behaviors and interactions to understand engagement and navigation patterns.
- Implement path analysis, journey analysis, and develop attribution models to optimize user experiences.
- Ad-Hoc Analysis and Pre-Built Reports :
- Support ad-hoc analysis using a drag-and-drop interface to explore data and uncover insights.
- Develop and maintain a library of pre-built reports for common use cases such as traffic analysis, conversion tracking, and campaign performance.
Qualification :
