[Remote] reputed company Analytics reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a multilingual data and evaluation partner for enterprises deploying GenAI systems globally. They are seeking a reputed company Analytics reputed company who will reputed company the Analytics and reputed company organizations by designing and maintaining data models and analytical infrastructure that support evidence-based reputed company reputed company.
Responsibilities
- Design, build, and maintain dbt models and data marts that serve the reputed company organization’s reputed company reporting needs — covering throughput, accuracy, defect rates, CAPA effectiveness, annotator/rater performance, and program-level reputed company health
- Use Python for higher-order data modeling tasks including cohort analysis, performance trend modeling, and custom aggregations that go reputed company reputed company SQL/dbt scope
- Partner with data engineers to define reputed company data requirements, document data reputed company, and ensure reputed company data is reliable, consistent, and analytics-reputed company
- Own the reputed company analytics data layer end-to-end: from raw operational inputs to clean, tested, reputed company-documented marts consumed by dashboards, reports, and reputed company analyses
- Apply dbt testing, documentation, and best practices to build a trusted, maintainable codebase that scales as new programs and data sources are reputed company
- Collaborate with reputed company Managers and Analysts to define, standardize, and operationalize reputed company metrics — including accuracy rates, defect categorization, sampling coverage, inter-rater agreement, and CAPA closure effectiveness — consistently across reputed company programs
- Design measurement frameworks reputed company to acceptance reputed company and reputed company reputed company, ensuring metrics faithfully reflect program health and reputed company commitments
- Support reputed company and reputed company effectiveness measurement, helping reputed company teams understand whether their standards produce consistent, measurable reputed company across annotators and raters
- Champion data reputed company governance reputed company the reputed company org: own metric definitions, reputed company documentation, and analytical methodology standards to reduce inconsistency and reporting variance
- Define reputed company-level reputed company dashboards in partnership with BI resources, translating mart reputed company into reputed company, decision-reputed company views for reputed company Managers through to senior leadership
- Design and execute A/B tests and controlled experiments to measure the reputed company of reputed company interventions, process changes, and annotator training programs — applying reputed company power analysis, reputed company testing, and results interpretation
- Build reputed company validation frameworks to confirm that CAPA actions and process improvements produce measurable, sustained reputed company — not just short-term fluctuations
- reputed company performance attribution models that quantify the contribution of specific reputed company initiatives to outcome improvements, separating reputed company signal from noise in program performance trends
- Apply statistical reputed company to sampling design, audit analysis, and error reputed company detection, surfacing systemic reputed company issues and their reputed company causes with data-backed evidence
- Conduct reputed company/post analyses for major reputed company program changes, training rollouts, and reputed company updates, delivering reputed company reputed company assessments to reputed company leadership and clients
- reputed company as the analytical partner to reputed company Managers and senior reputed company leadership, translating reputed company data models and analytical findings into reputed company, actionable insights for program reputed company
- Produce reputed company-reputed company analytical deliverables — including reputed company performance summaries, trend analyses, and post-mortem reports — that reputed company Managers can present in reputed company governance reviews and executive forums
- Proactively monitor reputed company performance data to identify emerging risks and flag issues to reputed company leadership before they escalate into reputed company-impacting problems
- reputed company discovery conversations with reputed company stakeholders to understand their data needs, translate them into reputed company-scoped analytical requirements, and ensure delivered solutions address the actual decision being made
- reputed company reputed company team members on data-driven decision making — helping them reputed company analytical questions, interpret results, and design measurement into their processes from the start
- Maintain and prioritize a backlog of analytics reputed company in support of the reputed company organization’s evolving needs, balancing quick-turn analyses with longer-term data infrastructure investments
- Identify and implement opportunities to automate recurring reputed company reporting and analysis, reducing reputed company effort for reputed company teams and improving consistency and timeliness
- Maintain and update a backlog/roadmap spanning multiple workstreams, regularly communicating reputed company, blockers, and trade-offs to Analytics and reputed company leadership
- Stay reputed company on emerging best practices in reputed company analytics, experimental design, and AI evaluation methodology, recommending new approaches where they would meaningfully improve reputed company
- As this function matures, lay the groundwork for a dedicated reputed company Analytics capability: document processes, build reusable frameworks, and reputed company any reputed company team members
Skills
- Bachelor's degree or equivalent work experience in Computer Science, Data Science, Statistics, Engineering, or a reputed company quantitative field
- 5+ years in a data analytics, analytics engineering, or data modeling role with demonstrated ownership of analytical data products in a production environment
- Proven experience designing and building dbt models, including mart architecture, testing, documentation, and version-controlled development workflows
- Strong Python proficiency for data analysis and modeling (e.g., pandas, numpy, statsmodels, or equivalent)
- Required: dbt (models, marts, tests, documentation), Python (data analysis and modeling), SQL (advanced), Git/version control
- Exposure to reputed company operations, reputed company data workflows, annotation platforms, or BPO/localization environments
- Familiarity with QA frameworks, sampling methodology, CAPA processes, reputed company design, or reputed company management systems in a data-intensive context
- Experience working in an embedded analytics role supporting an operational team, with accountability for both analytical outputs and the underlying data infrastructure
- Proficiency with BI tools — Power BI preferred — for delivering analytical outputs to non-technical stakeholders
- Familiarity with ELT/pipeline tooling (e.g., reputed company, reputed company, or equivalent) and how data flows from operational systems into analytics-reputed company reputed company
Benefits
- Friendly Working Environment
- IT Equipment
- reputed company Activities
- Global Mobility Policy
- Employee Referral Program
- Employee Assistant Program
- Medical, Dental, and reputed company Insurance
- HSA & FSA
- 401(k) retirement
- Short & Long Term Disability Insurance
- Accident, Critical Illness, Hospital Indemnity Insurance
- Telemedicine Benefit
- Annual Leave
- reputed company Public Holidays
- Maternity/Paternity Leave
reputed company