Banyan Water is a high growth IoT start-up revolutionizing the way enterprise commercial customers monitor, manage, and mitigate water risk and cost. We call it total water management for the built environment. We are venture backed and growing. Our customer base includes Fortune 500 and leading real estate companies. Banyan Water has an immediate opening for a Data Analyst. This position reports directly to the Director, IoT Solutions and will be responsible for turning data into information, information into insight, and insight into business decisions. This position is based in our Austin, TX HQ.

Responsibilities:

• Interpreting data, analyzing results using statistical techniques.
• Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.
• Acquiring data from primary or secondary data sources and maintaining databases.

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

Requirements

• Proven working experience as a data analyst, data scientist or business data analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Background in using Python for data analytics
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics