TL;DR

Senior Data Analyst (Data Analytics): Analyzing marketing data and building scalable dashboards to drive marketing strategies and decision-making with an accent on marketing data models, data integration, and campaign performance analysis. Focus on developing marketing models, ensuring data integrity, and collaborating with marketing and data engineering teams.

Location: Remote (Costa Rica)

Company

%hirify_global% empowers global brands with its Digital Experience Platform based on Drupal, enabling rapid deployment of digital products and services.

What you will do

Collect and analyze data from CRM, web analytics, and marketing automation platforms to assess campaign and sales performance.
Create dashboards and reports for real-time marketing KPIs and provide ad-hoc data analysis support.
Identify trends and optimize marketing campaigns using projections, intent data, and forecasts.
Collaborate with marketing teams to improve lead generation, email marketing, social media, and content marketing effectiveness.
Conduct customer behavior analysis for segmentation, targeting, and personalization.
Assist in developing and maintaining marketing models such as lead scoring and attribution.

Requirements

Must have 4+ years experience in marketing or data analyst role in a SaaS company.
Experience with data ingestion setup for GA4, LinkedIn, Facebook, Reddit, Qualified in Snowflake, and pushing data into Domo is required.
Knowledge of marketing data models and CDPs is a must.
Proficiency in SQL, BigQuery, LookML, and relational databases.
Bachelor's degree in Marketing, Data Analytics, Statistics, or related field.
Strong analytical skills with ability to QA data and translate insights for non-technical stakeholders.

Nice to have

Experience with marketing automation and orchestration tools like Google Analytics, Salesforce Marketing Cloud, Openprise, 6Sense.
Openness to learning new technologies and collaborating with AI tools.

Culture & Benefits

Global company with employees in over 30 countries.
Embraces innovation and AI to enhance processes.
Inclusive hiring practices without discrimination.