Senior Business Intelligence Analyst (15h Left)

About Kisah :

At Kisah, we’re building the future of modern retail by combining data-driven insights with exceptional customer experiences. We truly believe that data is at the heart of business decisions, and we are looking for someone who can take ownership of our data ecosystem and drive critical business strategies across the organization.

Role Overview :

We are seeking a Senior Business Intelligence Analyst to lead our data efforts, manage a team of analysts, and drive key business insights that fuel Kisah’s growth. This role is critical to our business and will focus not just on creating dashboards but understanding and leveraging data to solve complex business challenges.

You’ll play a pivotal role in areas like demand forecasting, sales analysis, pricing strategies, and inventory planning. By working across departments, you’ll ensure that data-driven decisions are seamlessly integrated into every aspect of Kisah’s operations.

If you’re someone who is highly analytical, thrives on solving real-world business problems, and is passionate about using data to make a tangible business impact, we want to hear from you!

• Data Ecosystem Management : Oversee the entire data ecosystem of Kisah, ensuring clean, accurate, and timely data availability.
• Business Planning Support : Drive critical business areas like demand forecasting, sales analysis, pricing strategies, new product launches, and stock replenishment planning.
• Insights for Action : Translate complex data into actionable insights that directly impact business strategies, from category planning to supply chain optimization.
• Team Leadership : Lead and mentor a team of analysts, fostering a culture of curiosity, problem-solving, and collaboration.
• Cross-Functional Collaboration : Partner closely with teams across operations, marketing, and supply chain to ensure alignment and effective execution of business strategies.
• Efficiency Tracking : Own the efficiency metrics of Kisah’s warehouse operations (both in-house and 3PL), such as packing time, handover time, and breach analysis, and drive continuous improvement.
• Data Storytelling : Create compelling visualizations and reports to clearly communicate insights and trends to key stakeholders.
• Process Optimization : Work on initiatives like network optimization (right inventory at the right warehouse) and improving customer delivery TAT.

Core Technical & Analytical Skills

1. Data Analysis & Problem Solving — ⭐⭐⭐⭐⭐

Ability to extract, clean, and analyze complex datasets to answer key business questions logically.

2.SQL & Advanced Excel / Power Query Skills — ⭐⭐⭐⭐⭐

Must be hands-on in querying, transforming, and reconciling large datasets from multiple systems.

3.ETL Process Understanding (Extract, Transform, Load) — ⭐⭐⭐⭐☆

Strong understanding of data pipelines, integrating sources (e.g., marketplaces, ERP, POS).

4.Data Visualization (Power BI / Tableau / Looker) — ⭐⭐⭐⭐☆

Ability to create clean, insightful dashboards that tell a story rather than just display data.

5.Data Modeling & Structuring for Analysis — ⭐⭐⭐⭐☆

Designing logical and scalable models for sales, supply chain, and performance tracking.

6.Accuracy & Data Validation Discipline — ⭐⭐⭐⭐⭐

High attention to detail — ensuring data integrity and resolving mismatches across systems.

Business & Domain Knowledge

1. Demand Forecasting & Trend Analysis — ⭐⭐⭐⭐☆

Understanding of how to use data for predicting sales and planning inventory movement.

2.Sales & Margin Analytics — ⭐⭐⭐⭐☆

Ability to analyze channel-level and SKU-level performance to derive actionable insights.

3.Inventory & Supply Chain Analytics — ⭐⭐⭐⭐☆

Familiarity with metrics like sell-through, inventory turns, replenishment efficiency, etc.

4.Pricing & Discount Impact Analysis — ⭐⭐⭐☆☆

Using historical and competitive data to evaluate price elasticity and margin implications.

5.Understanding of D2C & E-Commerce Ecosystem — ⭐⭐⭐⭐☆

Knowing how marketplace data (orders, returns, settlements) ties back to business performance.

Cross-Functional & Strategic Skills

1. Collaboration with Business, Ops & Tech Teams — ⭐⭐⭐⭐⭐

Ability to translate business problems into analytical models and communicate findings clearly.

2.Project Management & Ownership — ⭐⭐⭐⭐☆

Strong ownership of key reporting cadences, automation, and business-critical dashboards.

3.KPI Definition & Metric Governance — ⭐⭐⭐⭐☆

Building consistency in how metrics are defined, tracked, and understood across departments.

4.Data Storytelling & Presentation Skills — ⭐⭐⭐⭐☆

Turning data insights into narratives that drive business action.

Technical & Tool Proficiency

1. Power BI / Tableau / Google Data Studio Expertise — ⭐⭐⭐⭐☆

Comfortable building interactive dashboards with advanced visual logic and automation.

2.Basic Python or R for Data Analysis (good-to-have) — ⭐⭐⭐☆☆

Useful for deeper analytical modeling and automation.

3.Experience with APIs / Data Connectors / Cloud Platforms — ⭐⭐⭐☆☆

Understanding of how data flows from marketplaces, CRMs, and ERPs into central systems.

4.Familiarity with Database Management Concepts — ⭐⭐⭐⭐☆

Understanding joins, relationships, indexing, and data normalization principles.

Soft Skills & Mindset

1. Analytical Curiosity & Problem-Solving Attitude — ⭐⭐⭐⭐⭐

Continuously asking why and what does this mean for the business?

2.Bias for Accuracy & Detail Orientation — ⭐⭐⭐⭐⭐

Obsessed with ensuring numbers always tie across systems — zero tolerance for errors.

3.Ownership & Accountability — ⭐⭐⭐⭐☆

Takes responsibility for accuracy, timelines, and delivering insights, not just reports.

4.Learning Agility (New Tools, Techniques) — ⭐⭐⭐⭐☆

Comfort with exploring new data tools and automations for higher efficiency.

5.Communication & Stakeholder Management — ⭐⭐⭐⭐☆

Ability to simplify complex findings for non-technical audiences and influence decisions.

⚙️ Bonus (Good-to-Have) Skills

1. Experience in Fashion / Apparel or D2C Brand Analytics — ⭐⭐⭐☆☆

Understanding seasonality, style-level performance, and consumer trends.

2.Experience in Forecasting Tools or AI / ML Platforms — ⭐⭐⭐☆☆

Exposure to predictive modeling and early trigger logic for planning.