Data Analyst (Marketing)

Empresa Confidencial

Philippines

Hybrid

PHP 500,000 - 900,000

Full time

6 days ago
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Job summary

Empresa Confidencial seeks a Data Analyst (Marketing) to lead cross-functional reporting and campaign performance data aggregation across partner and brand initiatives. You will translate raw metrics into executive-ready reviews tracking ROI and SLA compliance, and build automated dashboards.

You will work with multi-channel marketing data, identify trends and anomalies, and provide data-driven recommendations to optimize future partner campaigns.

Qualifications

  • 4–6 years of experience as a Data Analyst, Marketing Analyst, or BI Analyst with multi-channel campaigns.
  • Bachelor’s degree in a quantitative field as listed in the requirements.
  • Fluent bilingual proficiency in Spanish and English to manage regional stakeholders.

Responsibilities

  • Aggregate and synthesize performance metrics across partner channels and localized campaigns.
  • Extract, clean, and consolidate marketing data from internal exports and partner platforms.
  • Maintain a centralized data repository for cross-functional visibility into marketing performance and ROI.
  • Build post-mortem summaries and automated dashboards that track KPIs against SLAs.
  • Translate complex metrics into polished executive reviews and QBRs.
  • Identify trends and anomalies and provide data-driven recommendations to optimize campaigns.

Skills

Data analysis
Reporting & dashboards
Bilingual Spanish/English

Education

Bachelor’s degree in Data Analytics, Statistics, Finance, Marketing Analytics, Business Administration, or related quantitative field

Tools

Looker Studio
Tableau
Power BI
Google Sheets/Excel

Job description

Data Analyst (Marketing)

The Data Analyst will be responsible for leading cross-functional reporting and campaign performance data aggregation across all partner and brand initiatives. In this role, you will pull and consolidate metrics from internal manager data exports and partner-facing platforms to build comprehensive post-mortem summaries and automated dashboards. You will be tasked with translating raw execution data into highly polished, executive-ready business reviews that track ROI and SLA compliance. This analytical role requires a detail-oriented professional who can transform complex datasets into clear, actionable commercial insights for leadership teams.


Responsibilities


  • Aggregate and synthesize performance metrics across disparate partner channels, localized brand campaigns, and external retail footprints.

  • Extract, clean, and consolidate marketing data utilizing direct data exports from internal managers and self-serve partner-facing platform metrics.

  • Maintain a centralized performance data repository to ensure consistent, cross-functional visibility into marketing performance and ROI (Return on Investment).

  • Build comprehensive post-mortem summaries and automated performance dashboards that clearly track key performance indicators (KPIs) against baseline Service Level Agreements (SLAs).

  • Translate complex, raw execution metrics into polished, presentation-ready business reviews (QBRs) and executive summaries.

  • Identify historical performance trends and data anomalies, providing actionable data-driven recommendations to help optimization efforts for future partner campaigns.


Requirements


  • 4–6 years of experience as a Data Analyst, Marketing Analyst, or Business Intelligence Analyst—specifically working with multi-channel marketing campaigns, agency networks, or tech sector accounts.

  • Bachelor’s degree in Data Analytics, Statistics, Finance, Marketing Analytics, Business Administration, or a related quantitative field.

  • Native or fluent bilingual proficiency in Spanish and English (written and verbal) to effectively manage regional stakeholders and vendor pools.

  • Advanced proficiency in Google Sheets/Excel, data visualization tools (Looker Studio, Tableau, or Power BI), and familiarity with partner advertising platforms or CRM data environments.


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