Lead Data Analyst Consultant
hace 4 días
**Position Overview**
We’re seeking a **Lead / Principal Data Analytics Consultant** who can turn complex healthcare and medical claim data into clear, actionable insights — and help build the foundation for our growing analytics organization.
You’ll work across **Power BI (DAX, Power Query, visuals), SQL, and Python** to design scalable models and reports, then go beyond dashboards to interpret results, frame the story, and advise decision-makers.
This role is **hands-on today but designed for leadership**. You’ll take ownership of key client deliverables while mentoring and growing a high-performing analytics team, including shaping the development of our new **Colombian and Philippines delivery hubs**.
**Note**: Due to the sensitive nature of the datasets we work with, this is a 100% in-office position based in Colombia. Because we work closely with U.S. healthcare clients and need rapid iteration on analytics deliverables, this role will work standard U.S. business hours (9AM - 6PM US Eastern Time)
**Key Responsibilities**
- Partner with business leaders to define metrics, scope questions, and translate needs into analytical requirements.
- Design and maintain data models, queries, and ETL/Power Query steps for analytics and reporting.
- Build, publish, and govern **Power BI** semantic models and dashboards; optimize **DAX** for performance and usability.
- Implement **advanced Power BI capabilities**, including:
- Complex DAX measures and calculated tables for dynamic KPI logic
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Row-Level Security (RLS)** and role-based access controls
- **
Data write-back, alerts, and parameterized what-if analyses**
- Composite models, DirectQuery, and incremental refresh for large healthcare datasets
- Conduct exploratory analyses in **SQL** or **Python** (e.g., cohorting, segmentation, forecasting, regression).
- Translate analytical findings into clear narratives and recommendations that drive executive decisions.
- Establish documentation, QA checks, and data quality guardrails across projects.
- Create reusable analytics assets (measures, templates, queries) to accelerate delivery.
- Track and communicate KPIs, trends, and business drivers to stakeholders.
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Lead and mentor** analysts, defining standards, onboarding plans, and workflows as we scale the teams.
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Collaborate with leadership** to improve processes, shape strategy, and contribute to company growth.
**Requirements**:
**Qualifications**:
Experience & Technical Skills
- 5+ years of experience in data analytics or BI consulting, ideally within healthcare or other complex operational environments.
- Deep expertise in Power BI, including:
- Advanced DAX for time intelligence and conditional logic
- Data modeling and schema design for large relational datasets
- Row-Level Security (RLS) and multi-tenant governance
- Write-back and alerting solutions via Power Apps or Power Automate
- Workspace governance, deployment pipelines, and dataset refresh strategies
- Proven ability to design performant, visually compelling, and executive-ready dashboards.
- Proficient in SQL and Python (pandas, statsmodels, scikit-learn) for ad hoc analysis, data preparation, and model evaluation.
Analytical & Statistical Skills- Applied statistical modeling (regression, cohort analysis, survival analysis, variance decomposition) to uncover drivers of revenue and outcomes.
- While this is an analytics not ML role, practical familiarity with AutoML workflows, including feature preparation, model selection, and performance interpretation for churn, propensity, and time series models is a nice to have.
- Focused on business interpretability and ROI, not just predictive accuracy.
Business & Strategy Orientation
- Several years of experience defining KPIs and success metrics for growth, operations, or revenue cycle initiatives.
- Translated ambiguous business problems into structured analytic frameworks.
- Prioritized insights by ROI and presented findings to executive audiences.
- Thrives in entrepreneurial environments where processes and playbooks are still forming.
Leadership & Consulting Skills
- Experience leading client workshops or stakeholder sessions to define analytic needs.
- Managed cross-functional projects with finance, operations, and IT to align analytics with business strategy.
- Communicates complex topics clearly across both technical and business audiences.
- High-ownership mindset with a passion for building teams, systems, and scalable analytics capabilities.
- Excellent spoken and written English. Strong communication and persuasion skills to drive trust and alignment.
Ideal Background
- Prior experience at a top consulting firm.
- Accustomed to fast-paced, client-facing work with shifting priorities and rapid iteration.
- Demonstrated ability to thrive in unstructured, high-accountability settings that require initiative and judgment.
- Master’s degree preferred in Statistics, Data Science, Engineering, or a related quantitative field.
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