Technical Support Analyst (AdTech) - REMOTE

Lewis Personnel Management; Metro Manila; Remote; PHP 400,000 - 700,000; Full time

Job summary

Lewis Personnel Management expands its global tech team and is hiring a Technical Support Analyst (AdTech & Data) to support enterprise clients. You will investigate complex data discrepancies across digital advertising platforms, provide technical support for reporting and integrations, and maintain exceptional client communication.

The role is ideal for an analytical, detail-oriented professional with hands-on experience in digital advertising data who thrives in a fast-paced environment and

Qualifications

• Experience with digital advertising data and metrics (impressions, eCPM, revenue reconciliation).
• Experience with ad platforms, ad servers, or programmatic tech.

Responsibilities

• Investigate and resolve client-reported advertising data discrepancies across platforms.
• Validate large datasets using pivot tables and lookup functions.
• Respond to client inquiries via ticketing systems, email, or calls with clear communication.
• Provide Tier 1 technical support for ad platform integrations and data feeds.
• Document findings and root-cause analyses for escalated issues.
• Explain platform metrics and attribution logic to clients.
• Collaborate with Product, Engineering, and Client Success teams to ensure data accuracy.

Skills

Pivot tables

Lookup functions

Data filtering

SQL queries

English communication

Ticketing systems

Data reconciliation

Education

Bachelor's degree in Data Analytics / CS / IT

Tools

Jira

Zendesk

Freshdesk

Google Ad Manager

DSPs

SSPs

Job description

Location: Metro Manila, Philippines | Remote (M-F)

Employment type: Full-time | Night Shift

About the role

We are expanding our global tech team and hiring a Technical Support Analyst (AdTech & Data) to support our enterprise clients. In this role, you will investigate complex data discrepancies across digital advertising platforms, provide technical support for reporting and integrations, and maintain exceptional client communication. This role is ideal for an analytical, detail-oriented professional with hands-on experience in digital advertising data who thrives in a fast-paced environment and is comfortable collaborating with cross-functional global teams.

Key responsibilities

• Investigate and resolve client-reported advertising data discrepancies by analyzing raw report outputs, ad server logs, delivery metrics, and source data.
• Use advanced Excel functions (pivot tables, complex formulas, XLOOKUP/VLOOKUP, filters) to validate large ad delivery datasets and isolate revenue/impression variances.
• Respond to client inquiries via ticketing systems (Jira, Zendesk), email, or calls with clear, timely, and professional communication.
• Provide Tier 1 technical support for ad platform integrations, reporting logic, and data delivery feeds.
• Document findings, bug reproduction steps, and root-cause analysis when escalating complex issues to Tier 2/Engineering teams.
• Help clients understand platform-specific metrics, ad dimension definitions, attribution logic, and reconciliation reporting.
• Collaborate with Product, Engineering, and Client Success Manager (CSM) teams to ensure accurate, consistent data delivery across all publisher accounts.

About you

• Direct experience working with digital advertising concepts, including impressions, clicks, eCPM, revenue reconciliation, viewability, or attribution metrics.
• Exposure to digital advertising platforms, ad servers, or programmatic tech (e.g., Google Ad Manager, DSPs, SSPs, or publisher ad operations tools).
• Bachelor's degree in Data Analytics, Computer Science, Information Technology, or a closely related field.
• Strong skills in handling large datasets using pivot tables, lookup functions, logic formulas, and data filtering techniques.
• Excellent oral and written English skills with a proven ability to translate complex technical/data issues into client-friendly explanations.
• Practical, working knowledge of SQL or database querying tools to inspect and analyze relational datasets.
• Hands-on experience using ticketing and support systems (e.g., Zendesk, Jira, Freshdesk).
• Prior experience in a B2B SaaS environment supporting global, US-based clients.
• Experience writing basic automation scripts or working with data pipeline APIs.

Job Ref: RH-TT