Data Analyst
Metal | Lahore, Punjab, PK | on_site
Apply for the Data Analyst role at Metal in Lahore, Pakistan. Full-time on-site early-career opportunity focused on data quality, analytics, QA frameworks, coverage, workflows, spreadsheets and cross-functional product collaboration.
Job description
Metal is hiring a Data Analyst for a full-time, on-site role in Lahore, Pakistan. Metal is an AI-powered operating system for founders raising venture rounds. The Data Analyst will own a core data domain end-to-end, keeping it accurate, complete, fresh, and trustworthy while building repeatable checks, workflows, and quality systems as the platform scales.
Responsibilities
- Own a core data domain end-to-end
- ensuring accuracy
- completeness
- freshness
- and coverage across the Metal platform.
- Triage, investigate, and resolve data issues quickly, then address root causes so problems do not repeatedly return.
- Identify gaps in data coverage and drive initiatives to close them.
- Review and validate data from third-party providers, flag regressions, and recommend improvements or additional fields to ingest.
- Design and run quality checks, audits, and lightweight QA frameworks that make data quality scalable and repeatable.
- Propose and test new high-signal data points or metrics that improve product value and user trust.
- Partner with Product and Engineering to improve data pipelines, internal tooling, and workflows.
- Track and communicate weekly and monthly progress on data quality, coverage, and improvements within the owned domain.
- Grow from hands-on data-quality operations into designing automations, QA frameworks, new data signals, and broader systems behind data trust.
Requirements
- Bachelor's degree or equivalent demonstrated ability.
- Strong analytical thinking and comfort working with structured information, ambiguity, and incomplete data.
- High attention to detail and a strong commitment to correctness, consistency, and trust.
- Evidence of execution through projects, internships, research, side projects, student-organization leadership, or other independently delivered outcomes.
- Comfort working with spreadsheets and/or basic data tools, with the ability to learn new systems quickly.
- Strong ownership: ability to notice issues, take responsibility for outcomes, and drive problems through resolution.
- Structured problem solving with a focus on root causes rather than surface-level fixes.
- Bias toward action and ability to make informed progress without waiting for perfect information.
- Clear written and verbal communication with both technical and non-technical teammates.
- Nice to Have
- Prior exposure to data, research, operations, analytics, or fast-moving teams.
- Experience improving workflows, checklists, quality systems, or data processes.
- Interest in venture intelligence, startup fundraising, and data-driven product development.
Skills
- Data Analysis
- Data Operations
- Data Quality
- Data Validation
- Quality Assurance
- Spreadsheets
- Analytical Thinking
- Root-Cause Analysis
- Process Improvement
- Data Auditing
- Data Coverage
- Metrics
- Workflow Design
- Cross-Functional Collaboration
- Product Thinking
- Technical Communication
- Problem Solving
- Attention to Detail
- Project Ownership
- Growth Opportunity