Data Analyst

5 days ago

Lahore, Punjab, Pakistan Blue Health Full time 1,200,000 - 3,600,000 per year

Blue Health is seeking a
results-driven Data Analyst
to convert healthcare and financial data into actionable insights for product, operations, accounting, and clinical stakeholders. The ideal candidate combines
analytical rigor
with a strong understanding of accounting principles, communicates clearly, and delivers disciplined results on accelerated timelines.
Immediate joiners are preferred.

Key Responsibilities

  • Translate business questions (financial + healthcare) into structured analytical plans; deliver dashboards, reports, and ad-hoc analyses for product, clinical, and accounting teams.
  • Write efficient, production-aware
    SQL
    for data extraction, validation, and performance-optimized querying at scale.
  • Clean, transform, and model datasets with robust quality checks; document assumptions, lineage, and methods.
  • Partner with product, engineering, operations, and
    finance/accounting
    teams to define metrics, monitor KPIs (financial and operational), and recommend data-informed actions.
  • Uphold data governance, privacy, and security standards across the analytics lifecycle.
  • Provide support in
    financial data analysis
    , revenue/cost tracking, and reconciliations to help align product metrics with financial outcomes.

Requirements (Must-Haves)

  • 3+ years
    of hands-on analytics experience with measurable business impact, anchored in SQL.
  • Accounting/Finance Background:
    Exposure to accounting principles (e.g., ledgers, reconciliations, financial statements) or direct experience working with financial datasets.
  • Proficiency in Excel/Google Sheets and at least one BI platform (Power BI, Tableau, or Looker); proficiency in a programming language (Python or R) is a plus.
  • Demonstrated ETL/data cleaning capability with documented QA checks and versioned deliverables.
  • Ability to work the
    06:00 PM – 02:00 AM
    shift (five days/week) and responsibly leverage AI tools (e.g., code assistants, AutoML, LLMs) to accelerate analysis while maintaining quality and compliance.

Qualifications

  • Bachelor's degree in a quantitative discipline (Accounting, Finance, Data/Computer Science, Statistics, Engineering, Economics) or equivalent practical experience.
  • Proven track record designing end-to-end dashboards/KPI frameworks with clear metric definitions and ownership, including
    financial or accounting KPIs
    .
  • Working knowledge of descriptive statistics and experimental thinking (variance, confidence, A/B test basics).
  • Healthcare data exposure (e.g., FHIR/HL7, claims, EHR) is advantageous; familiarity with AI/AutoML/LLM-based analytics is a plus.

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