Customer Data & Marketing Analytics

amIT Global Solutions Sdn Bhd; Indonesia; On-site; IDR 600,000,000 - 900,000,000; Full time

Job summary

amIT Global Solutions Sdn Bhd is seeking a senior Marketing Analytics professional to own data strategy, analytics, and dashboarding across digital and offline channels. You will architect and maintain the MarTech stack, build automated data pipelines, and deliver real-time BI dashboards.

The role requires deep SQL, Looker/Tableau/Power BI expertise, and strong collaboration with tech teams, media agencies, and telesales to optimize CAC and funnel performance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Analytics, Information Systems, Statistics, or a related quantitative field
• 6+ years of experience in Marketing Analytics, MarTech, or Revenue Operations with exposure to both digital and offline/partner channels
• Advanced SQL proficiency (BigQuery, Snowflake, PostgreSQL) for joining complex online ad data with offline CRM/Telesales databases
• Expertise in BI 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/APIs
• Digital Channels: Understanding 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: Understanding affiliate tracking platforms (HasOffers/Tune, Impact, Everflow, CJ) and agency reporting standards
• Strong communication skills to align data workflows between tech teams, media agencies, affiliate managers, and telesales leaders

Responsibilities

• 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 across all app, web, and paid channels
• Design and deploy automated data pipelines merging high-volume digital ad data with downstream business databases
• Enforce robust tracking standards across internal campaigns, affiliates, and external agencies
• Eliminate manual reporting workflows by engineering centralized data models within cloud warehouses
• Build and maintain automated, real-time BI dashboards tracking end-to-end funnel metrics
• Develop multi-touch attribution and incrementality frameworks to measure true digital ROI
• Analyze digital user journeys to identify drop-off points and optimize funnel conversion

Skills

SQL

BI tools

Looker

Tableau

Power BI

Google Tag Manager

Tag Manager

BigQuery

Snowflake

PostgreSQL

Data Modeling

Excel

Education

Bachelor's/Master's in CS/Analytics

Tools

Looker

Tableau

Power BI

GTM

Segment

RudderStack

Webhooks

Job description

Responsibilities

• 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.

Requirements

• 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

Bonus point if

• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.