Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company. Recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. Connecting 1.1 billion people and 5.4 billion devices across the globe. Clients include Google, Amazon, PayPal, SoftBank, ServiceNow, Ciena, Verizon, Vodafone, and many more. A “Great Place To Work® Certified™” company. Employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
Business Intelligence Analyst
Location
United States
Posted
13 hours ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Business Intelligence Analyst
Prodapt
Role Description - Perform exploratory data analysis and provide various insights into customer data using domain knowledge that would bring more value to the business. - Leverage predictive analytics and AI/ML techniques to generate actionable insights for customer behavior, operational trends, and churn management. - Study key data from the customer, inventory, network, and trouble management systems and provide recommendations on the solutions that can be built out of the provided dataset. - Build data ingesting pipelines and maintain them in big data ecosystems. - Correlate analysis with real-time data from the customer database using churn data. - Design, build, test, and tune machine learning models using Python and other tools, focusing on accuracy and ensuring that intelligence is consistent with defined needs. - Create solutions by comparing various Machine Learning algorithms that would best fit for the customer churn and use cases. - Build the Machine Learning models in tools such as RapidMiner application to predict customer churn using Python scripts. - Use algorithmic and logical approach to determine initial set of potential ML models based on the data and results generated. - Maintain and suggest tools and technologies for increased productivity. - Build and update business intelligence reports, databases, and dashboards to provide users with detailed intelligence. - Architect end-to-end Machine Learning Model Deployment and Data Versioning pipeline in a production environment to identify data patterns and trends. - Participate in model and algorithm deployment into production, which needs a separate pipeline built with support for monitoring and alerting. - Align code branches to be managed with the latest algorithms to be used for customer churn predictability. - Assure adherence to business intelligence standards, methodologies, and practice. - Maintain the project codes/model versions using GIT/SVN version controlling tools. - Document all the project details and activities in the organization’s Confluence pages. - Develop technical design documentation to ensure the accurate development of reporting solutions. - Create status reports on a weekly and monthly basis with an accurate assessment of the deliverables. - Work with the team on the various AI/ML technologies, and business intelligence systems and tools, perform tests, and work with project managers and team on project deliverables. - Attend project meetings and work on ad hoc project report requests. - Triage requirement gathering, identify business value for scenarios by working with product owners, and optimize data-driven decision making. - Utilize statistical concepts/methodologies to correlate inventory, network statistics, and trouble management systems. - Explore and integrate AI/ML and GenAI frameworks to enhance customer communications and operational insights, including IVR call analytics and AI-driven outage intelligence across digital and self-service channels. - Telecommuting and working from home permitted from anywhere in the U.S. - Travel and relocation possible to unanticipated client locations throughout the U.S. - Domestic travel required approximately 10% of the time to various client sites. Qualifications - Bachelor’s degree or foreign equivalent in Computer Science, Data Sciences, or Information Systems. - 3 years of experience in the job offered or related occupations of Lead Engineer, Software Engineer, Application Developer, or equivalent. Requirements - 3 years of experience with GenAI Technologies such as LLMs, Prompt Design, Prompt Engineering, LangChain, Hugging Face. - 3 years with AI/ML Technologies such as Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, Spark ML, NLTK, H2O, AutoML, RapidMiner, Rasa, cuDNN. - 3 years of experience with Statistical Modelling & ML Algorithms such as Regression, Time Series Analysis, Random Forests, Gradient Boosting, K-Means, KNN, Neural Networks. - 3 years of experience with Model Evaluation & Testing such as Accuracy, Precision, Recall, Cross-Validation, A/B Testing, Hypothesis Testing. - 3 years of experience with MLOps & Deployment such as Docker, Kubernetes (AKS), CI/CD, Model Monitoring, Data Versioning. - 3 years of experience with API & Backend Development such as REST APIs, FastAPI, Uvicorn. - 3 years of experience with Data Engineering & Orchestration such as Apache Airflow, Kafka, Flume, Hadoop, Drill. - 3 years with Data Visualization & BI Tools such as Matplotlib, Seaborn, Grafana, Power BI, Tableau, Superset. - 3 years with Databases & Data Warehouses such as Snowflake, PostgreSQL, Oracle, MySQL, HBase, Hive, SQL. - 3 years with Cloud Technologies such as Azure (OpenAI, AI Search, ML), AWS (S3, Athena), GCP (Dialog flow, Data Studio). - 3 years with DevOps & Collaboration Tools such as Git, Jira, Confluence, Azure DevOps. - 3 years with Operating Systems such as Windows, Linux. - Travel and relocation possible to unanticipated client locations throughout the U.S. - Domestic travel required approximately 10% of the time to various client sites.
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