Description: JOIN US AS A LEAD BIA (DATA) ANALYST - HUMAN RESOURCES

About this Opportunity

Our lead data analyst researches data assets, applies various technologies to these assets and develops metrics, reports, and statistics. They are experts in sourcing data and providing the highest quality data for their business domain through their BI&A tools. Lead data analyst spend about 50% of their time advancing the development of metrics, reports and analysis into integrated dashboards. Through the deep understanding of their users and the data they consult on statistical analysis as well as contribute to measuring the key business outcomes as tests are applied. By translating that data into clear stories and insights lead data analysts help the business take action. They also play an active role with engineers and product owners ensuring the critical data is available and reliable in the proper platforms with clear SLAs.

As a Lead BIA Analyst you'll:

Actively exploring data and sourcing it for specific use cases
Joining and creating measurable insights from the data to be shared
Developing metrics, reports, and statistics
Documenting calculations, code, and adhering to data management principles
Validating and testing data assets of others in the form of peer review
Exploring statistical analysis that could be applied to the data
Performing descriptive statistics including mean, variance, median, correlation
Train and communicate output to users to gather feedback
Applies insights and testing in partnership with business users
Build and apply best practices for data analysts

Requirements:

BA/BS in a quantitative degree - Math, Statistics, Econometrics, Computer Science or equivalent work experience
Experience with programming languages such as SQL, Python, etc.
5 plus years relevant experience in reporting and data visualization
Extensive exposure to: visualization, coding, business consulting, database architecture, data mining, statistical analysis, and collaboration with business partners
Strong problem solving and analytical skills
Exposure and extensive hands on work with large data sets

Qualifications: