Description: JOIN US AS A SR BIA (STATS) ANALYST - FINANCIAL SERVICES

About this Opportunity

Our senior data analyst researches data assets, applies various technologies to these assets and develops metrcs, reports, and statistics.  They are experts in sourcing data and providing the highest quality data for their business domain through their BI&A tools.  Senior 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 Sr Data 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

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.

3 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: