Data Analyst Specialist

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 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 qualifications and skills

• Bachelor\’s or Master’s Degree in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or similar field
• Minimum of 4 years of professional experience in applied analytics or research
• Success as an individual contributor within a broader team, with some examples of leading others on projects
• 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, willingness to collaborate with a team virtually, and ability to work independently based on project and other circumstances
• Ability to synthesize quantitative and qualitative findings into actionable insights and communicate them effectively
• Technical and analytical experience, including analytical tools and software such as R (preferred), Python, Tableau, Alteryx, Knime, or other programming experience
• Proficiency in SQL, including experience retrieving data from relational databases
• Understanding of digital product lifecycle
• Exploratory data analysis, including web analytics platforms, to understand the characteristics of a data set and identify patterns
• Intuitive understanding of what the analysis implies and how it would be affected by changes in assumptions
• Comfort in dealing with ambiguity, making assumptions, and drawing conclusions
• Work experience with real-world data, including extracting it from production databases like Oracle, SQL Server, Snowflake, AWS, 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
• Experience with visualizing data using ggplot2, matplotlib, d3.js, Tableau, or similar software

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