Monitor data refreshes, reporting completeness, and pipeline health in collaboration with Data Engineering teams.
Help define and document KPIs, metric definitions, business rules, and reporting standards.
Identify opportunities to improve dashboard usability, automation, and stakeholder experience.
Explore emerging technologies, including GenAI-enabled reporting, natural language querying, automated insight generation, and conversational analytics.
Support recurring reporting cycles while continuously improving reporting efficiency and scalability.
Identify data issues, anomalies, or gaps and coordinate resolution with engineering and analytics stakeholders.
BASIC QUALIFICATIONS
Bachelor's (3–6 years) or Master's (2–4 years) degree in a quantitative discipline such as Data Science, Statistics, Engineering, Operations Research, Management Science, Mathematics, or related field.
Experience developing dashboards using Power BI, Tableau, or similar visualization tools.
Strong understanding of reporting, KPIs, and business metrics.
Effective oral and written communication skills.
Ability to translate business requirements into reporting and visualization solutions.
PREFERRED QUALIFICATIONS
Experience with SQL, data preparation, or analytics workflows.
Understanding of dashboard design principles, data storytelling, and user experience concepts.
Exposure to Power BI semantic models, Tableau data models, or modern BI architecture.
Interest in GenAI applications for reporting, automated insights, or conversational analytics.
Familiarity with data governance, reporting standards, and analytics operations.
Exposure to DevSecOps, incident management, or reporting production support processes.
Experience in healthcare, pharma, or regulated environments is a plus.
Strong curiosity, attention to detail, and passion for creating impactful analytics experiences.
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