Campaign Operation Analyst

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 45,000 - 60,000; Full time

Job summary

A leading staffing solutions company in Singapore is seeking a Data Analyst to drive campaign decision-making and enhancements in data infrastructure. The role involves conducting in-campaign insights, post-campaign analysis, and reporting automation. Ideal candidates should hold a Bachelor's degree in Economics, Data Science, or related fields, with 1-3 years of relevant experience in data analytics and proficiency in SQL. This position offers opportunities to improve reporting accuracy and cross-functional collaboration.

Qualifications

• 1-3 years of experience in data analytics or business analytics.
• Proficiency in SQL for data querying and analysis.
• Experience in performance tracking or analytics in a fast-paced environment.

Responsibilities

• Drive in-campaign performance tracking and support decision-making.
• Prepare regular campaign performance updates for stakeholders.
• Own end-to-end post-campaign analysis and synthesize insights.
• Support campaign reporting automation to improve accuracy.

Skills

SQL

Data Analysis

Tableau

Power BI

Analytical Skills

Data Mining

Dashboard

Statistics

Education

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

Tools

Tableau

Power BI

Excel

Job description

Roles & Responsibilities

Purpose of Role :

To drive timely campaign decision-making and continuous improvement by delivering in‑campaign 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.
• Drive post‑campaign insight cadence, coordinating cross‑functional inputs and ensuring timely delivery of recaps and learnings.

Dashboard, Data Library & Automation

• 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 & Analytics, 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.

Skills

• Tableau
• Dashboard
• Data Analysis
• Ad Campaigns
• Analytical Skills
• PMO
• Data Mining
• SQL
• Cadence
• Statistics
• Data Science
• Visualization
• Power BI
• Adaptation