Data Intelligence Analyst

Deskripsi pekerjaan Data Intelligence Analyst PT Tricada Intronik

Responsibilities

Empower VP-level decision-making by delivering rapid, structured analytical intelligence across cross-functional domains, including Business Operations, Product Strategy, and Corporate Functions.

Transform fragmented, multi-source inputs; encompassing internal systems, telemetry logs, and external benchmarks, into high-fidelity, analysis-ready datasets.

Execute rigorous data normalization, reconciliation, and deduplication to engineer reusable "Analysis Views" anchored to standardized enterprise KPI definitions.

• Author high-impact intelligence outputs designed for executive consumption, including:
• Executive Dashboards: Real-time visibility into mission-critical performance drivers.
• Strategic Briefs: Concise narratives identifying variance drivers, downstream implications, and prioritized tactical recommendations.
• Provide rapid-response analytical support for cornerstone leadership objectives, including:
• Monitoring customer lifecycle velocity and product penetration signals.
• Analyzing incident patterns, capacity distribution, and early-warning trend detection.
• Quantifying productivity benchmarks and strategic program performance.

Institutionalize analytical speed by maintaining a library of standardized executive templates, KPI taxonomies, and governed dataset structures for recurring strategic inquiries.

Collaborate with General Management across Engineering, Product, and Architecture to harmonize data interpretations, validate assumptions, and ensure a "single source of truth."

Uphold the highest standards of discretion and data integrity while managing sensitive, high-stakes corporate information.

Requirements

• Bachelor’s degree in Computer Science / Information Systems / Statistics / Engineering (or equivalent experience).
• 2+ years of experience in analytics / BI / data analysis roles, with strong execution discipline and stakeholder maturity.

Strong analytical foundations: KPI reasoning, trend analysis, segmentation logic, cohorts/funnels (where applicable), and ability to interpret results for business decisions.