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.

• Strong data preparation capability by comfortable handling messy data, joining across sources, and ensuring consistency before analysis.
• Strong SQL capability and comfortable with at least one analytics tooling approach (BI platform and/or Python for analysis automation).
• Ability to work in fast-moving environments: shifting priorities, short deadlines, and iterative problem statements.
• Strong communication by can deliver concise, decision-grade summaries, not only charts.

Nice To Have

Extensive exposure to multi-domain intelligence, providing strategic insights across Operations, Delivery, Customer Growth, Human Capital/People Analytics, and Efficiency.

Proven ability to institutionalize efficiency by automating complex analytical workflows, utilizing scripting and low-latency pipeline orchestration to ensure seamless, scheduled intelligence refreshes.

Solid foundation in cloud-integrated data environments, with a specific focus on leveraging Google Cloud Platform (GCP) to support enterprise-scale data initiatives.

Sophisticated understanding of event-driven data patterns and near-real-time monitoring, essential for architecting early-warning systems and proactive operational indicators.

Expert-level experience in curating high-stakes reporting suites, including Monthly Business Reviews (MBR), OKR performance tracking, and high-impact excerpts for Board of Directors presentations