Responsibilities
- Design, implement, and maintain dashboards and scorecards to reflect the progress toward strategic objectives
- Define, refine, and evolve KPIs, SLAs, OKRs and other metrics frameworks in collaboration with engineering, product, operations, and business teams
- Aggregate, cleanse, and correlate data from multiple systems (e.g., JIRA, monitoring, data warehouse, internal tools, and financial systems)
- Analyze trends, variances, and anomalies; perform root cause analyses and propose actions or changes to processes or focus
- Produce regular reports (weekly, monthly, quarterly) for the VP, the executive team, and cross‑functional stakeholders
- Partner with stakeholders to vet and align on metric definitions, reporting cadences, and data interpretations
- Assist in setting targets, thresholds, and goals for key metrics and monitor progress toward them
- Monitor the health of metrics (data quality, signal stability, outlier detection, alerting) and drive remediation when issues arise
- Identify gaps in current measurement capabilities; propose and drive enhancements including new instrumentation, tooling, or process changes
- Serve as the go‑to analytics/metrics liaison between the VP and various teams (engineering, product, operations, finance)
- Assist in preparing executive‑level narratives and presentations, translating complex data into impactful stories
- Stay abreast of industry best practices in metrics, observability, dashboards, and data analytics; implement innovations and continuous improvements
Qualifications
- 6 years of experience in a technical or data‑oriented role (e.g., analytics, reporting, technical product management, program management with a strong focus on metrics)
- Strong experience working with cross‑functional engineering, product, or operations teams
- Experience analyzing large data sets, identifying trends and anomalies, and performing root‑cause analysis
- Excellent verbal and written communication skills with the ability to simplify complex analyses into digestible narratives for senior audiences
- Strong stakeholder management skills with the ability to influence across multiple teams without direct authority
- Comfortable working in ambiguous, fast‑moving environments
- Experience in defining and refining KPIs, SLAs, OKRs, and similar measurement frameworks
- Advanced level of English
WILL BE A PLUS
- Bachelor’s degree in computer science, engineering, data science, statistics, business analytics or a related field (or equivalent experience)
- Experience in technical domains (e.g., cloud infrastructure, SaaS, and dev tools)
- Familiarity with data warehouses, ETL processes, instrumentation, event tracking, observability, and monitoring systems
- Experience working with program management tools (e.g., Azure DevOps, JIRA, Confluence, and Asana)
- Prior experience reporting to senior executives or being part of an executive‑facing analytics and insights team
- Prior experience with metrics governance (defining metric ownership, ensuring metric consistency, handling metric versioning, and maintaining metric catalogs)
- Experience in tooling improvements for measurement (e.g., instrumenting new metrics, automating data collection, and adopting data‑quality tooling)
Personal Profile
- High level of self‑organization
- Attention to detail
- Structured work approach
- Excellent communication skills
Remote Work: Yes
Employment Type: Full‑time
Key Skills
React Native, AI, Enterprise Software, React, Node.js, Redis, AWS, Software Development, iOS, Team Management, Product Development, Mobile Applications
Experience: years
Vacancy: 1