Data Analyst

3 days ago

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Employee Engagement • Human Resources Consulting • Digital Employer Branding Strategy • Employer Branding Communications • Employee Value Proposition Research & Development

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Description

• Analyze social media data, internal focused research data, and external market research to evaluate the effectiveness of our current employer branding initiatives. • Collaborate with our cross-functional teams in delivery, media and business development to help gather relevant data and insights for crafting compelling employer brand messaging. • Utilize data-driven approaches to identify the organization's unique strengths and values as an employer, differentiating us from competitors. • Help conduct external and internal research on industry best practices and market trends to inform data-driven employer branding strategies. • Craft state of the art reports and metrics that our clients and internal stakeholders will use to help guide them on their employer branding journey. • Monitor and troubleshoot BI solutions and workflows ensuring smooth operations and timely issue resolution. • Be a self-starter, taking proactive initiative and ownership in our research methodology and data systems.

Requirements

• Must Have 2+ years of experience as a Data Analyst, preferably with a focus on HR analytics and/or research analytics. • Proven experience in utilizing data analysis to inform decision-making and drive business outcomes. • Ability to clean, analyse, interpret, and display data using different approaches using business intelligence tools. • Proficiency with data visualization and data story-telling. • Nice to Have Familiarity with people metrics, media metrics, employer branding concepts, and employee engagement initiatives. • Developing and maintaining databases and data systems on cloud systems. • Technical Requirements Must Have Proficiency in data analysis and visualization tools such as Tableau, Power BI, or Looker, preferably Tableau. • Experience working with databases and conducting SQL queries for data extraction and pipeline creation. • Experience with coding frameworks such as Python. • Extract, Transform and Load (ETL / ELT) experience. • Nice to Have Experience with cloud systems such as GCP, AWS or Azure, preferably GCP. • Experience interacting with APIs for consumption towards Analytics.