DATA ANALYST - PEOPLE ANALYTICS

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place. Your Impact As a People Analytics and Measurement Data Analyst, you will work closely with data analysts, data scientists, and data engineers to extract, clean, and analyze the firm's people data. You will develop fluency in the firm's people systems and combine this with your analytical knowledge to help translate business questions into rigorous analysis. You will be responsible for supporting projects that examine the firm’s feedback and evaluation processes, headcount planning, staffing, feedback, surveys and organizational health and performance metrics. 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. Your Growth People Analytics and Measurement is a team composed of over seventy data and analytics professionals who serve internal firm customers. The Business Intelligence group is responsible for all reporting, performance metrics, and descriptive analytics enabling the firm to understand and optimize our people operations, and measure the impact of our strategic initiatives. The team works in a highly collaborative environment, partnering with other teams to deliver meaningful innovation in people analytics. Your qualifications and skills Bachelor's or graduate degree with focus or specialization in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or similar field 1+ years of relevant professional experience in analytics demonstrating success as an individual contributor within a broader team Solid analytical and data management skills Ability to plan, prioritize and manage multiple projects, and to work effectively under pressure and with shifting priorities Flexibility in working style, eager to collaborate with a team (often virtually) and to engage in independent work, based on project and other circumstances Ability to understand and communicate the meaning of analyses with individuals in a wide range of strategic and operational roles, in both written and oral form Technical and analytic experience including experience with analytical tools and software such as R (preferred), Python, Tableau, Alteryx, or other programming experience Proficiency in SQL, including experience retrieving data from relational databases Exploratory data analysis to understand the characteristics of a data set and identify patterns Advanced skills with Microsoft Excel, including manipulating large datasets Intuitive understanding of what the analysis implies and how it would be affected by changes in assumptions Comfort with dealing with ambiguity, making assumptions, and drawing conclusions Substantial technical experience working with real-world data, including extracting it from production databases like Oracle, SQL Server, Snowflake and cleaning it to create analytically tractable data sets Familiarity with software development methodologies like Agile, including issue/workflow tracking tools like Jira and Trello and version control tools like git and GitHub Familiarity with visualizing data using ggplot2, matplotlib, d3.js, Tableau, or similar software