People Analyst

Summary

Join Wave, a leading financial institution in Africa, as a Senior Data Analyst on the People Tech team. You will be embedded within the People Tech team, collaborating closely with various teams to derive insights from people data, visualize and communicate these insights to improve user and business outcomes. Analyze and mine data for trends and patterns related to diversity, turnover, retention, talent acquisition, and reward. Ensure high standards of data privacy, accuracy, and quality. Oversee dashboard and data warehouse functionality, working with other teams to ensure data quality and system integrity. Navigate large datasets to identify drivers for improvement and generate testable hypotheses. Take ownership of projects, ad-hoc requests, and communicate findings to stakeholders. Create and maintain People Analytics dashboards and support the team with day-to-day requests. This role offers remote work flexibility (UTC -5 to +2), annual travel to Africa, a yearly stipend, competitive salary with equity, and excellent benefits.

Requirements

• 3+ years experience as a People analyst, data analyst, product analyst, business analyst or similar role
• Strong demonstrable experience in working with large datasets with thorny identity problems
• Strong SQL and python experience, with a strong preference for candidates who’ve worked with dbt, fivetran and dagster (or an equivalent orchestration tool)
• Proficiency in basic statistical analysis, data cleaning, preparation and data manipulation
• Experience working with data visualization platforms such as Looker, Tableau, Periscope etc
• Strong data visualization and communication skills. Being able to communicate insights to non-technical stakeholders is a key skill we are looking for

Responsibilities

• Be embedded in the People Tech team where you will work closely with a People Tech manager, the wider People Ops teams and in some cases teams outside of People Ops such as Support teams
• Derive insights from People data, visualize and communicate these in ways that improve user and business outcomes
• Analyze and mine data for trends and patterns with a focus on diversity, turnover, retention, talent acquisition, reward, and other areas of the business as required
• Help to identify and communicate data issues/concerns to maximise data quality and improve insight
• Ensure high standards of data privacy, accuracy, and quality are maintained
• Oversee dashboard and data warehouse functionality, working closely with People Operations, IT, and data engineering teams to ensure data quality, data governance, and system integrity
• Navigate large data sets to identify drivers that can improve People outcomes and generate testable hypotheses
• Take ownership of your projects (with support from your manager), adhoc requests and communicate findings to stakeholders
• Create and maintain People Analytics dashboards
• Support People Tech in day to day adhoc requests and data change requests

Preferred Qualifications

• Preference for candidates who have worked within a People team/HR setting
• Have a strong analytical mindset
• Have worked within a people team/HR setting
• Can communicate clearly with technical and non-technical colleagues in different teams
• Have worked in a People environment, analysing People data
• Are able to work fairly independently. An expectation is that you’ll be able to manage. your own projects (with the support of your manager and broader team)
• Have experience of working with large, unclean data sets

Benefits

• Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country)
• 6 months of fully paid parental leave and subsidized fertility assistance
• Flexible vacation, with most folks taking between 30-40 days per year
• $10,000 annual charitable donation matching
• You can work remotely from anywhere (between UTC -5 and +2) with reliable Internet access
• Wave covers travel once per year to one of our operating countries in Africa, as well as a yearly stipend of $1,200 to meet with coworkers
• Our salaries are competitive and are calculated using a transparent formula, paid in your local currency equivalent), plus a generous equity package