Ascendeum - Data & Marketing Analyst

About Ascendeum:
We provide AdTech strategy consulting to leading internet websites and apps hosting over 200 million monthly audiences worldwide.
Since 2015, our consultants and engineers have consistently delivered intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns.

About the Role:
We are seeking a highly analytical and detail-oriented Offshore Marketing & Data Analyst to support our growing analytics team.
This role will focus on performance reporting, campaign analysis, and dashboard development across marketing channels.
You will be responsible for transforming complex data into actionable insights and automated reporting for internal and client stakeholders.

Key Responsibilities

- Collect, analyze, and interpret marketing performance data across paid media, website, and CRM platforms.

- Build and maintain dashboards in tools like Tableau or Looker for internal teams and client reporting.
- Use SQL to query structured data sources and generate custom views or data extracts.
- Work with Google Analytics 4 (GA4) and understand user journey behavior, conversion paths, and attribution logic.
- Interpret and analyze media metrics.
- Collaborate with internal teams to support campaign tracking implementation and QA of data tags across platforms like Google Tag Manager.
- Assist in performance audits, pacing analysis, and campaign optimization recommendations.
- Build data pipelines or transformations using Python (basic scripting and automation).
- Support ad hoc requests for data and analysis.

Required Skills and Qualifications
- 2+ years in a marketing analytics, business intelligence, or data analyst role.
- Proficiency in GA4 and understanding of media buying platforms (Google Ads, Meta Ads, DSPs, etc.
- Hands-on experience with dashboarding tools such as Tableau, Looker, or Power BI.
- Strong understanding of media performance metrics and digital KPIs.
- Proficient in SQL for data extraction, joins, and aggregations.
- Familiarity with Python for data wrangling and automation.
- Understanding of tagging and tracking methodologies, including UTM parameters, pixels, and tag managers.
- Ability to QA marketing tracking setups and identify discrepancies in data.
- Strong communication and time management skills, with the ability to work autonomously.