Postúlate en Kit Empleo: kitempleo.com.ar/empleo/mu9sp

AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
As a
Senior Data Engineer
, you will drive the measurement and optimization of employee engagement across internal communication channels, shaping how data informs messaging and strategy.
Partnering closely with the Platforms team, you'll design GA4 tracking, build dashboards in Looker Studio or Tableau, and transform complex datasets into clear, actionable insights that enhance reach, relevance, and impact across email, intranet, Slack, video, and other channels.
This role offers a unique opportunity to influence internal communications through analytics while working at the intersection of data engineering, digital platforms, and employee engagement.
WHAT YOU WILL DO
Define and maintain the measurement framework for Employee Communications, including KPIs, north-star metrics, and leading indicators
Implement and QA GA4 tracking for internal websites, newsletters, and campaign landing pages
Build automated dashboards and self-serve reporting in Looker Studio or Tableau for stakeholders at different levels
Analyze traffic, engagement, and content performance across communication channels
Segment performance by audience, geography, organization, device, and channel to identify drivers of awareness and action
Run experiments and A/B tests on content, timing, and channel mix; measure results and recommend optimizations
Develop attribution approaches for internal campaigns
Ensure data quality, governance, and documentation, including event taxonomies, UTM standards, metadata conventions, and metric definitions




Collaborate on campaign execution by supporting targeted list pulls and data segmentation to improve message relevance and engagement rates
Conduct ad-hoc analyses and deep dives to support leadership requests and quarterly or annual business reviews
Translate analytical findings into clear narratives and actionable insights for non-technical stakeholders
MUST HAVES
5+ years
of experience in digital, marketing, or product analytics, or similar analytical roles
Strong
SQL
skills for querying and joining datasets across multiple data sources
Hands-on experience with
Google Analytics 4
, including events, parameters, custom dimensions/metrics, conversions, and explorations
Experience implementing and validating analytics tracking frameworks, including tagging plans, UTM standards, and metadata governance
Advanced experience building dashboards in
Looker Studio and/or Tableau
, including data modeling, calculated fields, filters, and interactive visualizations
Strong data modeling and data preparation skills
Demonstrated ability to translate complex analytical findings into clear insights and recommendations
Excellent communication and stakeholder management skills, with the ability to present insights to both technical and non-technical audiences
Experience analyzing engagement and performance metrics across digital channels
Familiarity with survey analytics (e.g., pulse surveys, eNPS) and combining behavioral and attitudinal data
Exposure to analytics for employee communications platforms (e.g., intranet, email platforms, internal messaging tools)
NICE TO HAVES
Experience designing advanced data visualizations in Tableau
Experience with Python for exploratory analysis or data manipulation
PERKS AND BENEFITS
Professional growth:
Mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation:
USD-based pay with education, fitness, and team activity budgets
Exciting projects:
Modern solutions with Fortune 500 and top product companies
Flextime:
Adaptable schedule with remote and office options
#J-*****-Ljbffr

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/mu9sp

📌 Data Engineer (Senior) Id54349 (San Fernando del Valle de Catamarca)
🏢 Agileengine
📍 San Fernando del Valle de Catamarca