BI Analyst/R Shiny Developer

Key Skills

Agile methodologies, Data Analysis, Data Analytics, Data science techniques, Database, Effective communication skills, Git, Github, JIRA, Operations, Planning and organization, Python Programming, R Programming, R-Shiny, Software Development, SQL, Statistics

Job Description

WHAT YOU'LL DO

You will work closely with data analysts, data scientists, and data engineers to extract, clean, and analyze our firm's people data, with a focus on a wide range of people data for a range of projects. 

You will develop fluency in our people systems and combine this with your analytical knowledge to help translate rigorous analysis into business solutions. You will be heavily involved in the transition from Excel based and other database delivery of BI Analytics to self-serve platforms. You will communicate the results of the analysis to the team's internal clients, helping them understand the results and suggesting potential actions supported by the results.

You will serve a variety of internal firm clients across the people space, serving up tools that offer solutions to a wide range of colleagues both in scope and seniority.

QUALIFICATIONS

• 1+ years of relevant professional experience in analytics performing exploratory data analysis to understand the characteristics of a data set and identify patterns
• Ability to intuit, understand and communicate the meaning of data analyses with individuals in a wide range of strategic and operational roles, in both written and oral form
• Proficiency in SQL, including experience retrieving data from relational databases
• Bachelor's or advanced professional degree with a focus in data analytics, mathematics, computer science, statistics, econometrics, or social science-organizational-operations research
• Familiarity with software development methodologies like Agile, including issue/workflow tracking tools like Jira and Trello and version control tools like git and GitHub
• Depth of experience with advanced analytical tools such as R (preferred, in combination with Shiny), Python (in combination with Streamlit), in addition to other advanced analytics packages