Business Analyst

As a Business Analyst at Chargify, your mission is to provide insights to our teams that enable fast and accurate business decisions, build a data driven culture to empower our teams to uncover data insights on their own, and develop novel ways of looking at and understanding our data. You will develop analysis and reporting capabilities which help teams across the company run and grow the business.

Responsibilities:
- Empower the team with data: you will work with all departments and teams to bring data to their fingertips.
- Interpret data and 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
- Work with management to prioritize business and information needs

Requirements for this position:
- Bachelor's degree, preferred degrees: Business, Marketing, Mathematics, Computer Science, Statistics, Economics or comparable fields
- 5+ years relevant work experience as a data analyst or business analyst
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at understanding what is being solved for, structuring queries to find relevant data, and presenting findings to business stakeholders
- Expertise in data models, database design development, data mining and segmentation techniques
- Experience with reporting packages (Business Objects etc), databases (SQL etc.), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

The ideal candidate would also have:
- Experience in a fast-paced, startup environment 
- A strong track record of learning new tools, technologies, and frameworks
- Working knowledge of a data analytics language and its associated tools (Python/Jupyter , R)
- Experience with Elasticsearch and applying advanced analytics (statistical modeling and methods)



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