Data Analyst (Product-Focused)

Demandlane; Jakarta Utara; Remote; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading tech company is seeking a Senior Product Analyst to perform data-driven analysis and optimize product operations. You will investigate performance issues, leverage tools like Tableau to identify trends, and collaborate with analytics teams to make informed data-backed decisions. The ideal candidate has 4+ years of experience in a similar role and strong communication skills. This remote position requires working from 6:30 PM to 3:30 AM WIB.

Qualifications

• 4+ years of experience in Data/Product Analysis.
• Strong RCA skills and detail-oriented approach.
• Proficiency in BI tools, especially Tableau.

Responsibilities

• Investigate performance anomalies and document findings.
• Monitor KPIs and perform ongoing trend analysis.
• Design and evaluate A/B tests for optimization.
• Deliver performance reports and present findings.

Skills

Root Cause Analysis (RCA)

Data Analysis

Communication Skills

Tableau

Trend Identification

Tools

Tableau

Job description

Senior Product Analyst / Senior Product Operations Analyst (Data-Focused)

Department: Product Operations
Location: Remote (Indonesia)

Role Overview

We’re looking for a data-driven Senior Product Analyst / Senior Product Operations Analyst with a knack for root cause analysis (RCA), a solid grasp of product operations, and a talent for connecting the dots between data and product operations.

You’ll use dashboards, data pulls, and ML-driven outputs to identify patterns, troubleshoot performance issues, and help the business make smarter decisions faster.

You won’t be coding full dashboards — instead, you’ll slice and dice the data, investigate anomalies, partner with analytics to get deeper pulls and collaborate with analytics/data science teams to apply machine learning insights in a product operations setting.

Key Responsibilities

Root Cause Analysis & Troubleshooting

• Investigate performance anomalies (e.g., contact rate drops, deliverability issues, spam triggers, carrier code failures).
• Use Tableau and backend data to trace issues from symptom to root cause.
• Document RCAs with clear findings, proposed solutions, and follow up on implementation.

Data Analysis & Operational Insights

• Monitor and interpret KPIs like contact rates, deliverability %, spam block rates, and conversion rates.
• Perform ongoing trend analysis and share insights to inform daily operational decisions.
• Leverage AI/ML-powered tools to detect hidden patterns, predict anomalies, and automate parts of the analysis process.

Experimentation & Optimization

• Design and evaluate A/B tests and controlled experiments on texting cadences, campaign routing, and engagement strategies.
• Analyze experiment outcomes (including ML-based predictions) to recommend data-backed optimizations.

Reporting & Communication

• Deliver recurring performance reports for key product and growth metrics, ensuring they drive clear, actionable changes.
• Present findings clearly to both technical and non-technical teams.
• Collaborate closely with the Data Analytics and Data Science teams for custom pulls, ML insights, and deeper analysis.

Qualifications

Must-Have:

• 4+ years experience as a Data Analyst, Product Analyst, Product Operations Analyst, or similar role.
• Strong RCA skills — methodical, detail-oriented, able to find the true cause of an issue.
• Proficiency with BI tools (especially Tableau) for insight generation.
• Ability to interpret large datasets, identify anomalies, and spot trends quickly.
• Quick learner with the ability to grasp new product workflows and data pipelines fast.
• Excellent verbal and written communication skills.

Nice-to-Have:

• Basic understanding of ML models (classification, regression, clustering) and their business applications.
• Basic SQL querying skills for self-service exploration.
• Familiarity with messaging operations (10DLC, toll-free, compliance).
• Experience in A/B testing and campaign optimization.

What Success Looks Like

• Every RCA you own leads to a clear, evidence-backed solution.
• Trends and risks are spotted early, preventing performance losses.
• You become the bridge between product operations and analytics, turning data into decisions that move the needle.

Should be comfortable working from 6:30 pm to 3:30 am WIB.