Data Analyst
Emetlab
WorldwideremotePosted 8 days ago
Skill Required
Data-AnalystBusiness-Intelligence-AnalystAnalytics-EngineerOperations-AnalystData-Visualization-SpecialistAnalytics-AnalystData-Science-AnalystAssociate-Data-AnalystData-Analytics-SpecialistResearch-Data-AnalystData-Intelligence-AnalystAI-Data-AnalystData AnalystMachine LearningEngineeringanalyticalPower BIanalyticsbuildingTableauPythonLookerdesignSQLandAIFulltime
Key highlights
- Requires 2+ years of experience.
- Offers full-time and part-time positions.
- Fully remote location.
- Achieves 42% accuracy improvements.
- Delivers 99.4% regulatory precision.
- Requires genuine interest in AI, data quality, or machine learning infrastructure.
Role overview
As a Data Analyst at Emetlab, you will turn data into decisions that shape the infrastructure behind elite AI training data. In this role, you will uncover insights driving operations, quality, and business strategy by analysing contributor performance, dataset quality metrics, and production pipeline efficiency. Your work directly informs maintaining a 98%+ accuracy benchmark, scaling the global contributor network, and delivering measurable client results. You will serve as the analytical backbone for a company dedicated to producing expert-crafted, rigorously validated training datasets and end-to-end AI solutions globally.
Responsibilities
- Analyse contributor performance, production throughput, and quality assurance metrics to surface actionable insights that inform operations and growth decisions.
- Design and maintain dashboards, reports, and data visualisations that give leadership and cross-functional teams clarity on key metrics across datasets, contributors, and client delivery.
- Partner with Data Operations, Engineering, and Product teams to define success metrics, measure outcomes, and evaluate the impact of process improvements and platform changes.
- Conduct cohort analysis, segmentation, and trend analysis across our contributor network to identify opportunities for improving output quality, efficiency, and retention.
- Monitor and report on dataset quality benchmarks, identifying patterns in annotation accuracy, inter-annotator agreement, and domain-specific performance.
- Identify data quality issues, propose improvements to tracking and instrumentation, and ensure the integrity of the operational data we rely on.
- Translate complex analytical findings into clear, compelling narratives that non-technical stakeholders can act on with confidence.
Requirements
- 2+ years of experience in data analytics, business intelligence, or a related role within a technology or data-intensive organisation.
- Strong proficiency in SQL.
- Experience with analytics tools such as Python, R, Excel, or similar.
- Experience with data visualisation tools such as Tableau, Looker, Power BI, or Metabase.
- Genuine interest in AI, data quality, or machine learning infrastructure is highly valued.
Nice to have
- Exceptional communication skills, with the ability to present data-driven insights clearly to both technical and non-technical audiences.
- A collaborative disposition, comfortable working cross-functionally with Data Operations, Engineering, Product, and Quality Assurance teams.
- Experience thriving in fast-paced environments where you define the metrics and build the analytical infrastructure that the business relies on.
Benefits
- Full-Time and Part-Time positions available.
- Fully Remote location.
- Role in a Growth stage, operational environment.
Additional details
- Employment Type: Full-Time and Part-Time.
- Location: Fully Remote.
- Stage: Growth stage, operational.
- Company Scope: Produces expert-crafted, rigorously validated training datasets across 12 specialised domains, delivered by a global network of over 5,000 vetted domain specialists spanning 100+ languages and 50+ specialisations.
- Equal Opportunity: Emetlab is an equal opportunity employer welcoming dedicated individuals regardless of gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.