MarTech / Marketing Analyst

Job description

Mantah is hiring a MarTech / Marketing Analyst to optimize marketing analytics, tracking, reporting, and data-driven campaign performance across digital channels.

Responsibilities:

- Setting up, maintaining, and troubleshooting tracking through Google Tag Manager.

- Configuring and managing GA4 events, conversions, audiences, and e-commerce tracking.

- Setup Consent Mode v2 from scratch and audit the existing implementation.

- Working with dataLayer implementation and providing technical requirements to developers when needed.

- Auditing analytics setups and identifying tracking issues, missing data, duplicates, or inconsistencies.

- Validating data across GA4, advertising platforms, CRM, and internal systems.

- Working with GA4 data in BigQuery and performing data analysis using SQL.

- Building and maintaining dashboards and reports in Tableau, Looker Studio, Power BI, or similar tools.

- Analyzing marketing performance across different channels and identifying trends, issues, and opportunities.

- Supporting PPC and marketing teams with attribution, conversion tracking, and campaign measurement.

- Creating clear reports and providing actionable insights based on marketing data.

- Supporting implementation of Meta Pixel, Conversion API, Google Ads conversion tracking, and other marketing tags.

- Participating in analytics architecture planning for new websites, campaigns, products, and markets.

Must-haves:

- Hands-on experience with GTM (web and server-side), GA4, and Google Search Console for 3+ years.

- Experience preparing technical specs for developers (dataLayer schema).

- Experience implementing and troubleshooting e-commerce tracking.

- Solid understanding of UTM tracking, attribution, traffic sources, and conversion tracking.

- Experience conducting analytics/tracking audits.

- Basic SQL knowledge.

- Experience with Tableau, Looker Studio, Power BI, or similar BI tools.

- Strong grasp of marketing metrics: CAC, CPA, CPL, ROAS, Conversion Rate, AOV, LTV.

- Ability to translate data into business & marketing recommendations.

- Strong attention to details and ability to spot data inconsistencies.

- Hands-on Consent Mode v2 implementation experience with a CMP (CookieYes, Cookiebot, Complianz, etc.).

- Level of English – from Intermediate+ and above.

Nice-to-haves:

- BigQuery experience.

- Experience with Firebase.

- Experience with AppsFlyer, Adjust, or another mobile measurement platform.

- Experience with Meta Conversion API.

- Experience working with CRM/CDP data.

- Experience working with marketing APIs.

- Basic Python knowledge.