Google Ads Data Analyst

Company Description HR Nurture is a digital platform where people and technology converge to support HR professionals and tech enthusiasts. The company focuses on practical, insightful, and forward-thinking content that explores how data, AI, and automation are reshaping HR strategies and human capital management. HR Nurture covers topics such as people analytics, talent acquisition, HR tech trends, and workplace culture to educate and inspire a growing community of future-ready professionals. The organization values collaboration, learning, and innovation, aiming to nurture growth, spark meaningful conversations, and help shape the future of work.
Role Description The Google Ads Data Analyst is a full-time remote role responsible for analyzing and optimizing Google Ads campaign performance to support HR Nurture’s growth and audience engagement. Daily tasks include collecting and cleaning advertising data, building reports and dashboards, identifying trends, and providing actionable insights to improve ad targeting, bidding strategies, and conversion outcomes. The role involves working closely with marketing and content teams to test hypotheses, run A/B experiments, and align ad performance with business goals. The analyst will also monitor key performance metrics, create forecasts, and recommend data-driven adjustments to budgets and campaigns.
Qualifications
Strong Analytical Skills and proficiency in Data Analytics tools and techniques.
Solid understanding of Statistics for interpreting campaign results and running experiments.
Experience with Data Modeling for organizing, segmenting, and forecasting advertising performance.
Clear and effective Communication skills for presenting complex findings to non-technical stakeholders.
Hands-on experience with Google Ads, Google Analytics, and related reporting platforms.
Ability to work independently in a remote environment and manage multiple projects and deadlines.
Familiarity with HR, people analytics, or digital media environments is a plus.
Bachelor’s degree in Data Science, Statistics, Marketing, Business, or a related field preferred.

Work arrangement
Yes