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market data analyst

2 weeks ago

Jakarta, Jakarta, Indonesia PT Pandurasa Kharisma Full time

As our Sales Data Analyst, your expertise will shape our direction and boost our performance:

  • Data Command: Collect, process, and analyses complex sales data from diverse internal and external sources.
  • Insight Reporting: Develop routine and ad-hoc reports on sales performance, customer trends, and the effectiveness of all marketing campaigns (both online and offline).
  • Strategic Impact: Deliver data-backed insights to fuel and refine our core Marketing and Digital Marketing strategies.
  • Visualization Pro: Develop intuitive, interactive dashboards (using Power BI, Tableau, Looker Studio, or equivalent tools) to simplify sales KPI monitoring for stakeholders.
  • Targeting Precision: Execute market segmentation and comprehensive customer behaviour analysis to drive highly targeted marketing programs.
  • Digital ROI: Collaborate closely with the Digital Marketing team to accurately measure the Return on Investment (ROI) of all digital campaigns (online ads, social media, email marketing, etc.).
  • Recommendation Engine: Provide clear, data-driven recommendations to aggressively boost the effectiveness of our sales and marketing strategies.
  • Forecasting Support: Providing data-driven recommendations to improve the effectiveness of sales and marketing strategies.

YOUR ANALYTICAL POWER STACK

We are looking for candidates who can hit the ground running and bring serious analytical firepower:

  • Education: Bachelor's degree (S1) in Statistics, Mathematics, Economics, Management, Marketing Analytics, or a related quantitative field.
  • Experience: 1–3 years in data analysis, sales analysis, or marketing analytics is preferred. (Relevant internship experience is a major plus for fresh graduates)
  • Visualization Mastery: Advanced proficiency in Microsoft Excel and strong command of data analysis/visualization software like Power BI, Tableau, or Google Data Studio (or equivalent industry-standard tools).
  • Technical Edge (Bonus): Ability to process data using statistical tools (SQL, Python, or R proficiency is a significant advantage).
  • Core Skills: Exceptional analytical ability, highly detail-oriented, and proven ability to extract meaningful insights from large datasets.
  • Business Context (A Plus): A solid understanding of marketing concepts, digital marketing frameworks, and the sales funnel.
  • Communication: Excellent communication skills to effectively translate complex data and insights to non-technical stakeholders (Marketing and Management).
  • Team Player: Ability to work effectively and collaboratively across cross-functional teams.