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Senior Marketing Data (Customer Data & Marketing Analytics)
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time · Permanent — employment source
Employment type Full-time - Permanent
Employment type in the employer’s posting: Full-time - Permanent
From the employer’s posting
What you’ll work on
Full postingArchitect and maintain the MarTech stack (CDPs, server-side GTM, MMPs, webhooks)
Build automated pipelines merging ad data with Telesales, CRP and affiliate databases
Engineer centralized data models in BigQuery or Snowflake as the single source of truth
Build real-time BI dashboards tracking funnel metrics from ad impression to payout
Develop multi-touch attribution and incrementality frameworks to measure digital ROI
From the employer’s posting
Architect, scale, and maintain the enterprise digital MarTech stack (CDPs, Server-Side GTM, AppsFlyer/MMPs, Tag Management, and Webhooks)
Design and deploy automated data pipelines merging high-volume digital ad data (cost, impressions, clicks) with downstream business databases
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
Develop multi-touch attribution (MTA) and incrementality frameworks to measure true digital ROI
What you’ll bring
All qualificationsCore experience
- Experience: 6+ years of experience in Marketing Analytics, MarTech, or Revenue Operations with exposure to both digital and offline/partner channels.
- Experience implementing multi-touch attribution (MTA) or Marketing Mix Modeling (MMM).
Qualification wording
Experience: 6+ years of experience in Marketing Analytics, MarTech, or Revenue Operations with exposure to both digital and offline/partner channels.
Experience implementing multi-touch attribution (MTA) or Marketing Mix Modeling (MMM).
Education & alternatives
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 23, 202642 days ago
- Recorded sightings
- 48
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Amar Bank is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- BigQuery
- Excel
- Looker
- PostgreSQL
- Power BI
- Snowflake
- Tableau
Where the posting names them
- 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.
- 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.
- 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.
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About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
Employment type
Full-time - Permanent
Source details
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- Location & working pattern
Jakarta
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