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Job Description
About the opportunity:
Data analysts are the people responsible for evaluating data to develop reports and visualizations that identify trends or analytics that help companies make better-informed business decisions. They are comfortable working with structured data, performing analytics, building appropriate visualizations, and drawing conclusions based on empirical evidence rather than gut feel. They are good communicators who can translate their findings into business-friendly language. As they increase in seniority, their understanding of statistical concepts becomes more important, as they will start to use this knowledge to guide their studies and evaluations. Data analysts focus on “What is the data telling me today or in the past?”, Data Scientists focus on predicting what the data will be in the future.
What you’ll get to do:
Develop reports and visualizations from structured data using Power BI
Prepare datasets by writing scripts in SQL or Python (must be able to do table joins)
Create standard measures to help our clients understand the health and efficiency of their organization. Examples of measures include: Quality of Hire, Turnover, Absenteeism Rate
Create research questions, conduct quantitative data analysis, and communicate findings to others including media and academic partners
Create blog posts to be published on Dayforce’s blog
Skills and experience we value:
Currently pursuing a Bachelor’s degree, Master’s degree, or Post-Graduate Certificate in Data Analytics, Data Science, Statistics, Business Analytics, Computer Science, Economics, Psychology, Industrial-Organizational Psychology, or a related quantitative field.
Knowledge of human resources processes and procedures
Knowledge of people analytics best practices
SQL
Data management
Power BI
Strong verbal and written communicator
Strong organizational skills
Attention to detail
Learning mindset
Curiosity
Ability to interpret statistics
What would really make you stand out:
Background in I-O Psychology
Background in Economics
Experience in Databricks (SQL, Python)