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Data Analyst

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Colombia

Offer summary

Qualifications:

Bachelor’s degree required, 5+ years experience in digital, web design, digital marketing, analytics.

Key responsabilities:

Define KPIs and reporting requirements
Engage with stakeholders to drive value from data
Implement tracking using GA4 and GTM
Query data using SQL and visualize
Maintain digital analytics tagging standards

Softgic

51 - 200 Employees

See more Softgic offers

Job description

This is a remote position.

At Softgic, we work with the sharpest minds, with those who build, with those who love what they do, with those who have a 100% in attitude, because that's our #Coolture. Join our purpose of making life easier with technology and be part of our team as Data Analyst.

Responsibilities:

● Collaborating with our digital stakeholders to define KPIs, reporting requirements, and overall measurement strategy for our digital, web, App, and mobile customer journeys

● Proactively engage with senior stakeholders in business, innovate and identify new ways of improving processes, and create value from data and analytics-driven digital products.

● Implement tracking using GA4 and GTM tag management software

● Manage data layer across the organization’s websites and mobile applications that follow best practices.

● Query data using SQL in Google BigQuery and visualize using Google Data Studio and Tableau.

● MarTech implementations across different touchpoints.

● Analyze trends and report data to provide recommendations.

● Creating, managing, and enforcing digital analytics tagging standards to ensure robust and consistent data is captured for analysis.

● Create and maintain requirements documents and standards.

Requirements

● Bachelor’s degree required.

● 5+ years experience in digital, web design, digital marketing, analytics, or related fields.

● 3+ years experience working with Adobe Analytics and Tealium with a strong understanding of digital analytics tagging best practices and building data visualizations.