Customer Data & Marketing Analytics

Indonesia·JakartaFull-time - Permanentmid

MarketingMarketing Analytics

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Quick Summary

Overview

Driving customer data strategy, lifecycle analytics, BI dashboarding, and end-to-end funnel optimization to fuel growth and retention. Architect, scale,

Technical Tools

MarketingMarketing Analytics

Driving customer data strategy, lifecycle analytics, BI dashboarding, and end-to-end funnel optimization to fuel growth and retention.

Architect, scale, and maintain the enterprise digital MarTech stack (CDPs, Server-Side GTM, AppsFlyer/MMPs, Tag Management, and Webhooks) across all app, web, and paid channels.

Design and deploy automated data pipelines merging high-volume digital ad data (cost, impressions, clicks) with downstream business databases (Telesales CRM, CRP retention databases, and Affiliate portals).

Enforce robust tracking standards-including first-party cookies, dynamic UTM taxonomies, event-naming conventions, and fraud-prevention protocols-across internal campaigns, affiliates, and external agencies.

Eliminate manual reporting workflows by engineering centralized data models within cloud warehouses (BigQuery, Snowflake), serving as the single source of truth for marketing operations.

Build and maintain automated, real-time BI dashboards (Looker, Tableau, Power BI) tracking end-to-end funnel metrics-from ad impression to Telesales conversion, CRP repeat loan/purchase, and Affiliate payout.

Develop multi-touch attribution (MTA) and incrementality frameworks to measure true digital ROI, monitor affiliate traffic quality, and accelerate digital-lead-to-telesales conversion speed.

Analyze digital user journeys to identify drop-off points across all placements, providing technical optimization insights that reduce CAC and improve overall funnel conversion.

Education: Bachelor's or Master's degree in Computer Science, Data Analytics, Information Systems, Statistics, or a related quantitative field.

Experience: 6+ years of experience in Marketing Analytics, MarTech, or Revenue Operations with exposure to both digital and offline/partner channels.

Data & Technical Skills:
- Advanced SQL proficiency (BigQuery, Snowflake, PostgreSQL) for joining complex online ad data with offline CRM/Telesales databases.
- Expertise in Bl tools (Looker, Tableau, Power BI) and advanced modeling in Excel/Google Sheets.
- Deep knowledge of Google Tag Manager (including Server-Side GTM), CDPs (Segment, RudderStack, etc.), and Webhooks/APls.

Domain Knowledge:
- Digital Channels: Hands-on understanding of major ad platforms (Google Ads, Meta Ads, TikTok, Ad Partner and Programmatic).
- Telesales & CRM: Familiarity with telephony/dialer integrations, CRM, (Moengage), and retention/loyalty tracking mechanics (Tada, Xoxoday).
- Affiliates & Agencies: Solid understanding of affiliate tracking platforms (HasOffers/Tune, Impact, Everflow, CJ), postback URLs, conversion pixel integration, and agency reporting standards.

Soft Skills: Excellent cross-functional communicator capable of aligning technical data workflows between internal tech teams, media agencies, affiliate managers, and telesales leaders.

Experience implementing multi-touch attribution (MTA) or Marketing Mix Modeling (MMM).

Having certifications on digital marketing trainings / bootcamp / other similar relevant professional or expertise recognitions.

Agency, F-commerce, banking or financial services knowledge or experience is a plus.