Data Analyst (Senior) ID54349 at AgileEngine

Rio de Janeiro, rio de janeiro, Brazil -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Google Analytics 4, Looker Studio, Tableau, Data Modeling, Data Governance, A/B Testing, Attribution Modeling, Stakeholder Management, Data Visualization, UTM Standards, Event Taxonomy, Digital Analytics, Survey Analytics, Python

Industry

Software Development

Description

AgileEngine is an Inc. 5000 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 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: Flexible schedule with remote and office options.

Responsibilities

The Data Analyst will define and maintain the measurement framework for Employee Communications, implementing tracking via GA4 and building automated dashboards in Looker Studio or Tableau. They will analyze performance across channels, run experiments, develop attribution approaches, and translate findings into actionable insights for stakeholders.