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Performance Marketing Analyst

Performance Marketing Analyst

ilmuOne DataJakarta Pusat, Jawa, Indonesia
23 days ago
Job description

Overview

Advisory Analytics / Marketing Analyst responsibilities include monitoring, analyzing, and optimizing digital marketing campaigns across multiple channels; collaborating with cross-functional teams; and maintaining client communications and project progress updates.

Responsibilities

  • Campaign Analysis : Monitor the performance of digital marketing campaigns across various channels, including Google Ads, Facebook Ads, Instagram, LinkedIn, and email marketing.
  • Data Analysis : Collect, analyze, and interpret marketing data to identify trends, opportunities, and areas for improvement. Provide actionable insights to the marketing team.
  • ROI Optimization : Work with the marketing team to optimize campaign budgets, bidding strategies, and targeting to maximize return on investment (ROI).
  • A / B Testing : Plan and execute A / B tests to improve ad creatives, landing pages, and other campaign elements. Utilize test results to inform campaign optimization.
  • Reporting : Prepare regular reports and dashboards to communicate campaign performance and key metrics to stakeholders. Identify and communicate key insights from the data.
  • Competitor Analysis : Stay up-to-date with industry trends and the competitive landscape. Conduct competitor analysis to identify opportunities and areas for differentiation.
  • Keyword and Audience Research : Perform keyword research and audience analysis to inform ad targeting and content strategies.
  • Collaboration : Collaborate with cross-functional teams including content, design, and development to ensure alignment of marketing efforts and achieve campaign objectives.
  • Coordinate with Advisory Analytics Consultant Coordinator to provide current project progress updates.
  • Draft email correspondence to clients as per internal technical / advisory requirements, and provide updates to internal teams on requirements.
  • Organize and service meetings, understand meeting context, summarize results and necessary next steps.
  • Coordinate schedules between internal teams and clients; collaborate with other team members or divisions as needed.
  • Manage client requests and issues (replicate, validate, and confirm issues). Maintain product knowledge (Google Analytics, Google Optimize, Digital Marketing, etc.).

Qualifications (Job Requirements)

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Industrial Engineering, Economics, or a related field. Master’s degree is a plus.
  • Minimum 2–3 years of experience as a Product Analyst, Data Analyst, Business Analyst, or a related role.
  • Experience in tech, consulting, e-commerce, or financial services industries is highly valued.
  • Experience collaborating with performance / growth marketing teams is a strong advantage.
  • Proficient in SQL for data extraction and transformation.
  • Skilled in analytical tools such as Python, R, or advanced Excel (pivot tables, VLOOKUP, data modeling).
  • Familiar with BI tools such as Tableau, Power BI, Looker, or Google Data Studio.
  • Hands-on experience with A / B testing, cohort analysis, funnel analysis, and experimentation frameworks.
  • Strong understanding of product metrics (conversion rate, retention, churn, LTV, CAC, ROI).
  • Solid understanding of performance marketing channels (Google Ads, Meta Ads, TikTok Ads, and programmatic platforms).
  • Experience analyzing and optimizing marketing campaign performance using data.
  • Knowledge of channel attribution models, marketing effectiveness measurement, and budget optimization based on data insights.
  • Comfortable working closely with marketing teams to align performance initiatives with product goals.
  • Strong business acumen with the ability to turn complex data into actionable insights and strategic recommendations.
  • Excellent communication skills with the ability to present findings to non-technical stakeholders.
  • Product-oriented mindset with strategic thinking and problem-solving skills.
  • Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Marketing and Sales
  • Industries

  • IT Services and IT Consulting
  • #J-18808-Ljbffr

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