Sr Data Analyst

Responsiblities:

• Highly experienced in developing Tableau Dashboards and data models using custom sql, data extracts and real time integrations with Redshift data base.
• 2 years of experience in full lifecycle implementation and support of Data Lake/ BI solutions.
• 4 years of experience in design, development, testing, deploying and supporting data visualizations and analytics solutions using SQL on Amazon Redshift , Spectrum, Oracle DB as well as using Tableau, Kibana, Powe BI and like tools.
• Hands on experience building regression, classification, Deep learning models and taking it to production with good accuracy rates
• Experience in building unsupervised continuous learning models and work with data engineers to optimize and operationalize.
• Should be hands on with Sage maker, Jupiter notebook or like platforms to analyze and build models.
• Self-sufficient in handling large volumes of data with excellent SQL skills.
• Eager to learn / get trained on new Time series data stores like Apache pinto.
• Exposure to AWS Lambdas, Kubernetes, Kubeflow, Airflow for orchestration is a plus.
• Design/ Architect frameworks to Operationalize ML models through serverless architecture and support unsupervised continuous training models.
• Take over and scale our data models.
• Communicate data-backed findings to a diverse constituency of internal and external stakeholders.
• Participate in technical decisions and collaborate with talented peers.

Key Skills:

• Advanced knowledge of data analytics, cleaning and preparation.
• Proficiency with data modeling and data analysis tools.
• Expertise in programming languages Java, Python, R, SAS, Scala, SQL.
• Experience with statistical and mathematical analysis