Sr. Business Analyst

Luxehouze

Jakarta Pusat

On-site

IDR 100,440,000 - 167,400,000

Full time

14 days+

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Job summary

Luxehouze is seeking a results-driven Business Analytics professional in Jakarta to translate data into strategic recommendations and drive commercial outcomes.

You will partner with Product, Commercial, Marketing, Operations, and Finance to design dashboards and actionable analyses, guiding leadership on decisions that scale the business.

Qualifications

  • 4–6 years of experience in Business Analytics, Commercial Analytics, BI, Strategy, or similar analytical roles.
  • Proven track record delivering actionable recommendations with measurable impact.
  • Strong business acumen linking data insights to commercial outcomes.
  • Ability to define analytical approaches with minimal supervision.
  • Excellent analytical, critical thinking and structured problem-solving skills.
  • Proficiency with Excel/Google Sheets and BI tools (Tableau/Power BI/Looker).
  • Experience with large datasets and translating analyses for diverse stakeholders.

Responsibilities

  • Translate data into actionable insights and business recommendations for leadership.
  • Identify growth opportunities, inefficiencies, customer trends, and risks through analysis.
  • Prioritize critical business questions independently from stakeholder requests.
  • Analyze performance metrics: revenue, conversion, CAC/retention, inventory, profitability.
  • Develop hypotheses and conduct analyses to influence decisions.
  • Design and maintain dashboards and reporting tools for timely decision-making.
  • Collaborate with Product, Commercial, Marketing, Operations, Finance, and Customer Experience teams to solve problems with data.
  • Assess new initiatives, pricing strategies, and operational improvements using quantitative analysis.
  • Present complex analyses in clear, executive-ready formats with actionable recommendations.
  • Mentor junior analysts on analytical thinking and problem solving.
  • Improve reporting processes and data quality to strengthen data-driven culture.

Skills

Data analysis
BI visualization
Excel/Sheets
Stakeholder management
Communication
Problem solving
E-commerce analytics

Tools

Tableau
Power BI
Looker
Excel
Google Sheets

Job description

About Luxehouze

Luxehouze is a fast-growing omnichannel luxury marketplace operating across Indonesia and Singapore, serving high-value customers in watches, fashion, and beauty. We operate in an environment where trust, speed and excellence matter, and where outcomes matter more than activity.

We are looking for a POSITION, who takes responsibility naturally, thinks in outcomes and wants to build, improve, and scale — not just “execute tasks.”

What Will Be Challenging
  • Expectations are high and visible
  • Problems may be ambiguous and fast-moving
  • Priorities can change as the business scales
  • Feedback is direct and frequent
  • Performance is measured by results, not intentions
  • If you require rigid structure, narrow scope, or close supervision to perform well, this environment may not be a good fit.
Responsibilities
  • Serve as a strategic business partner to leadership by translating data into actionable insights and business recommendations.
  • Proactively identify growth opportunities, operational inefficiencies, customer behavior trends, and business risks through in-depth data analysis.
  • Independently identify and prioritize the most critical business questions without relying solely on stakeholder requests.
  • Analyze business performance across key metrics including revenue, conversion, customer acquisition, retention, inventory, operations, and profitability to uncover root causes and opportunities.
  • Develop hypotheses, conduct structured analyses, and provide data-driven recommendations that influence business decisions and strategic direction.
  • Design, build, and maintain dashboards, reporting frameworks, and performance monitoring tools that enable timely decision-making.
  • Partner closely with Product, Commercial, Marketing, Operations, Finance, Customer Experience, and other cross-functional teams to solve business problems through data.
  • Evaluate the effectiveness of new initiatives, campaigns, pricing strategies, and operational improvements using quantitative analysis.
  • Translate complex analyses into clear, concise, and executive-ready presentations with actionable recommendations.
  • Mentor and guide junior analysts by sharing best practices in analytical thinking, business problem solving, and insight generation.
  • Continuously improve reporting processes, data quality, and analytical methodologies to strengthen the organization’s data-driven decision-making culture.
Requirement & Qualifications
  • Minimum 4–6 years of experience in Business Analytics, Commercial Analytics, Business Intelligence, Strategy, Management Consulting, or similar analytical roles.
  • Proven track record of delivering actionable business recommendations that resulted in measurable commercial or operational impact.
  • Strong business acumen with the ability to connect data insights to business strategy and commercial outcomes.
  • Able to independently define analytical approaches, identify opportunities, and prioritize business problems with minimal supervision.
  • Excellent analytical, critical thinking, and structured problem-solving skills with strong attention to detail.
  • Proficiency in Excel/Google Sheets and BI visualization tools such as Tableau, Power BI, Looker, or equivalent.
  • Experience working with large datasets and translating complex analyses into clear recommendations for both technical and non-technical stakeholders.
  • Strong communication, presentation, and stakeholder management skills, with the ability to influence decisions through data.
  • Comfortable working in fast-paced, ambiguous, and rapidly evolving business environments.
  • Experience in e-commerce, marketplace, retail, consumer, luxury, or other high-growth businesses is highly preferred.
  • Experience in experimentation (A/B testing), customer analytics, pricing analytics, product analytics, or predictive analytics is a strong advantage.
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