Sansar Tec Llc is hiring: Senior Data Analyst in Dallas

Overview

Description: Senior Associate Data Analyst

Location: Remote

Responsibilities

• Perform complex data analysis and employ advanced data analytics techniques to derive actionable insights and facilitate informed business decision-making.
• Conduct data mining, data mapping, data integration, data cleaning, data normalization, and data manipulation to ensure the accuracy, consistency, and quality of data management processes.
• Develop data models, create matrices for analysis, and identify process improvement opportunities.
• Create reports and dashboards using business intelligence tools to support strategic decision-making.
• Transform raw data into meaningful reports and presentations for stakeholders.
• Utilize big data technologies and SQL query development, with experience in cloud-based systems.
• Gather requirements, prioritize user stories, and create UML diagrams and documentation.
• Maintain compliance with healthcare regulations and data privacy standards.
• Work independently on projects, ensuring timely and accurate completion.
• Apply AI techniques and tools to enhance data analysis and predictive modeling.
• Collaborate with cross-functional teams to identify key performance indicators and implement effective data collection methodologies.

Must have

• Experience with big data technologies and cloud-based systems like Snowflake, Databricks, and Azure.
• Possess comprehensive knowledge of healthcare systems, US healthcare regulations, and data privacy standards.
• Strong technical skills in programming languages like Python, R, and SQL.
• Apply AI techniques and tools to enhance data analysis and predictive modeling.
• Need someone with strong data analytics experience

Required Qualifications

• Bachelor's degree in a discipline with a strong analytical focus, such as analytics, mathematics, statistics, engineering, informatics, or a related field.
• 3-4 years of experience in data analysis, with proficiency in data visualization and data modeling.
• Experience analyzing and interpreting large volumes of data from disparate data sources with the ability to error proof the output of analysis.
• Strong technical skills in programming languages like Python, R, and SQL.
• Experience working with, manipulating, joining, and analyzing complex data sets in Microsoft Excel, Power BI, and similar tools.
• Experience working with Agile methodologies.

Preferred Qualifications

• Experience with big data technologies and cloud-based systems like Snowflake, Databricks, and Azure.
• Possess comprehensive knowledge of healthcare systems, US healthcare regulations, and data privacy standards.
• Experience with AI techniques and tools for data analysis.
• Good understanding of data warehousing concepts and practices.