Job Details

Data Analyst

PeopleGrove

Category

Data Analysis

Experience

-

Employee type

Full-time

Offer Salary

-

Job Description

ABOUT THE ROLE
As a Senior Data Analyst at PeopleGrove, you will play a pivotal role within our engineering team, collaborating closely with product and design teams to influence product strategy through insightful data analysis. 

You’ll create insights that drive our product roadmap — identifying product opportunities, recommending changes, understanding the results of experiments, and helping define metrics for the business. Using your skill for synthesizing and visualizing data, you’ll help ensure we’re making the best investments for our users in the best career and alumni mentorship and coaching platform in the market. 

For this role, we’re looking for an experienced data analyst who will help develop the strategy and evaluate/improve product initiatives. While working closely with our Product Team, you will help us define and track KPIs, support strategic initiatives, design experiments, and evaluate A/B tests. You’ll communicate data insights and recommendations to marketing, product and leadership teams and help define and build a strong data culture.

Please fill out the application form : https://forms.gle/xSvB96rRhrcTYboF9 



WHAT YOU’LL DO :
  • Develop deep analytical insights to inform and influence product roadmaps and business decisions and help improve the consumer experience.
  • Work cross-functionally to build and communicate key insights, identify product opportunities and offer recommendations to leadership
  • Implement metrics, dashboards, reports, and deep-dive analysis to measure how well we are meeting the needs of our partner teams and inform where we should invest to improve mobile software development.
  • Partner with engineering to define and refine core data sets, ensuring robust and scalable analytics that drive product innovation. You will also work closely with product teams to align technical capabilities with product roadmaps. .
  • Act as a bridge between the engineering and product teams, facilitating a strong, data-driven relationship that enhances both product development and technical execution.
  • Help build a data-driven product culture by driving awareness and understanding of metrics with dashboards and reports
  • Contribute to efforts to build self-service analytics tools and dashboards for our partner teams.
  • Partner with product to design A/B experiments to guide product direction with iterative innovation and measurement
  • Dive deep into the data to understand how user behaviors change with the evolution of our product



  • WHO YOU ARE :
  • 5+ years of professional experience as a data analyst, with a strong emphasis on technical data analysis. 
  • Demonstrated ability to work within an engineering team, communicating effectively with both technical and non-technical stakeholders, and translating data insights into actionable engineering tasks.
  • Demonstrated ability to collaborate with product managers to define metrics for product areas, understand the right questions to ask in ambiguous situations on complex problems
  • Ability to start, own, and drive projects to completion with minimal guidance in a complex, constantly changing environment
  • Experience designing and assessing impact of A/B experiments
  • High level of comfort creating dashboards in Mixpanel, Periscope, or comparable software and create dashboards, reports, and deep-dive analysis
  • Ability to independently break down datasets and synthesize inputs from multiple sources
  • Ability to partner with product managers to analyze and make decisions based on data from our systems, logs, surveys, and more.
  • Can craft a compelling story from data and present data-driven recommendations 
  • Excellent communication skills and ability to explain learnings to both technical and non-technical partners
  • Excitement about collaborating with a diverse, global team

  • Bonus Experience :
  • Familiarity with a programming language, such as Python or R
  • Interest or experience in machine learning techniques (such as clustering, decision tree, and segmentation)
  • Experience using, and building, ETL pipelines to process large amounts of data

  • At PeopleGrove, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. PeopleGrove is proud to be an equal opportunity workplace.

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