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Job DescriptionAgileEngine 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 USIf 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 ROLEAs a Data Analyst focused on Employee Communications, you will drive how engagement is measured and optimized across digital channels, turning data into actionable insights that shape messaging and strategy.
Leveraging GA4, SQL, and BI tools like Looker Studio or Tableau, you'll uncover patterns, support experimentation, and enable stakeholders to make data-informed decisions.
This role offers strong visibility and impact at the intersection of analytics, internal communications, and digital platforms.
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);- Upper-intermediate English level.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: Versátil schedule with remote and office options.Requirements3+ years of experience as a Technical Support Engineer, Solution Engineer, or similar role within the IT or OT software industry servicing large accounts; Solid understanding of TCP/IP networking fundamentals, TCP vs UDP troubleshooting, and routing basics; Experience working with VPNs and proxy authentication scenarios; Hands-on experience configuring and troubleshooting firewall rules inbound and outbound; Awareness of conditional access and secure gateway concepts; Knowledge of ports and protocols; Expertise in enterprise software solutions, preferably in IT/OT integration, data analytics, cloud technologies, or industrial IoT; Strong understanding of enterprise environments, including challenges, architectures, and decision-making processes; Exceptional communication and presentation skills with the ability to explain complex technical concepts to technical and non-technical audiences; Experience with enterprise-level SaaS implementation engagements and solution design; Proficiency with modern tools and platforms such as cloud infrastructure, virtualization, APIs, and middleware; Fluency in English.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/mu1kj

📌 Data Analyst (Senior) Id54349 (Mar del Plata)
🏢 AgileEngine
📍 Mar del Plata