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Campaign Operation Analyst

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD

Singapore

On-site

SGD 40,000 - 60,000

Full time

Yesterday
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Job summary

A data analytics firm in Singapore is seeking a data analyst to provide campaign insights and improve reporting processes. The ideal candidate will have a Bachelor's degree in a related field and 1–3 years of relevant experience, with strong SQL skills. Responsibilities include driving in-campaign tracking and post-campaign analysis, as well as enhancing campaign data infrastructure. This role requires excellent communication skills and attention to detail, working collaboratively across teams to deliver actionable insights.

Qualifications

  • 1–3 years of experience in data analytics or related fields.
  • Working proficiency in SQL for data querying and analysis.
  • Experience supporting performance tracking or reporting.

Responsibilities

  • Drive in-campaign performance tracking and insight generation.
  • Prepare and deliver regular campaign performance updates.
  • Own end-to-end post-campaign performance analysis.
  • Drive campaign reporting automation to improve accuracy.

Skills

SQL proficiency
Data analytics
Attention to detail
Clear communication skills

Education

Bachelor’s degree in Economics, Data Science, or related field

Tools

Tableau
Power BI
Excel / Google Sheets
Job description
Purpose of Role

To drive timely campaign decision-making and continuous improvement by delivering incampaign insights, post-campaign analysis, and scalable reporting and data infrastructure for SEA IMC operations.

Responsibilities
In-Campaign Tracking & Insights
  • Drive in-campaign performance tracking, pacing monitoring, and insight generation to support timely decision-making during campaign execution.
  • Prepare and deliver regular campaign performance updates for regional and cross-functional stakeholders, highlighting risks, opportunities, and recommended actions.
Post-Campaign Analysis & Insights
  • Own end-to-end post-campaign post-mortems, including performance recap, gap analysis versus targets, and opportunity identification.
  • Synthesize campaign results into clear, structured insights and actionable recommendations to inform future campaign planning and target-setting.
Dashboard, Data Library & Automation
  • Drive post-campaign insight cadence, coordinating cross-functional inputs and ensuring timely delivery of recaps and learnings.
  • Drive campaign reporting automation, reducing manual effort while improving data accuracy, consistency, and timeliness.
  • Work closely with DS team to design, build, and continuously iterate standardized dashboards for campaign tracking.
  • Organize and maintain a centralized campaign data and reporting library, including historical performance, metric definitions, and reusable templates.
Campaign Data Infrastructure Enhancement
  • Support Y26 IMC key data infrastructure initiatives by acting as a PMO and execution driver, coordinating requirements, timelines, and deliverables.
  • Ensure data requests and reporting needs are aligned and synergized across regional and country teams, avoiding duplication and improving scalability.
  • Track project progress, manage dependencies, and support issue escalation to ensure timely delivery and adoption of IMC data solutions.
Requirements
  • Bachelor’s degree in Economics, Data Science & Analytic, Statistics, Finance or a related field.
  • 1–3 years of relevant experience in data analytics, business analytics, or e-commerce (solid internship experience acceptable).
  • Working proficiency in SQL for data querying, validation, and analysis.
  • Experience supporting performance tracking, reporting, or analytics in a fast-paced environment.
  • Good attention to detail, structured thinking, and ability to manage multiple workstreams and timelines.
  • Clear written and verbal communication skills, with the ability to work across cross‑functional teams.
Nice to have
  • Experience with SQL and/or BI tools (e.g. Tableau, Power BI, Looker) for data querying, visualization, and report adaptation or automation.
  • Excellent problem-solving and analytical skills, with the ability to tackle complex and diverse business problems (commercial, operational, and organizational) and synthesize findings into clear, structured communication materials.
  • Solid analytical capability, including the ability to gather, clean, and structure data for meaningful analysis and modeling; produce high-quality reports; and influence decision-making through data-driven insights.
  • Advanced spreadsheet proficiency (e.g. Excel / Google Sheets), including complex formulas, pivot tables, and structured data analysis.
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