Senior Data Analyst

2 weeks ago

Gurgaon, Haryana, India Intellect Full time

We are on a mission to revolutionize mental health care through the power of data. As a Senior Data Analyst, you will play a critical role in transforming how mental health insights are generated, understood, and applied. By analyzing data from diverse sources, you will help shape personalized, evidence-based mental health solutions and contribute to making care more accessible, effective, and impactful for individuals around the globe.

  • Data Analysis & Insights:
    • Analyze large, complex datasets to identify trends, patterns, and actionable insights that inform mental health interventions and strategies.
    • Develop and present data-driven recommendations to enhance mental health care delivery.
  • Machine Learning Models:
    • Collaborate with data scientists and engineers to design, build, and deploy machine learning models for predictive and prescriptive analytics.
    • Support the development of algorithms to identify patterns in mental health data and optimize care pathways.
  • Reporting & Visualization:
    • Build and maintain dashboards and reports using tools like Tableau, Power BI, or similar to track mental health outcomes and initiatives.
    • Provide real-time updates and performance tracking for key health and wellness metrics.
  • Collaboration:
    • Partner with cross-functional teams (e.g., Product, Clinical, Engineering, Revenue) to understand data needs and deliver actionable insights.
    • Act as a mentor to junior analysts, guiding their professional development and enhancing analytical capabilities.
  • Data Management:
    • Clean, preprocess, and structure data for analysis, ensuring accuracy and usability.
    • Ensure data quality and consistency across all reporting systems while adhering to privacy and security standards in health care data.
  • Advanced Analytics:
    • Strong ability to interpret data and present findings in a clear, actionable manner.
    • Experience with predictive modeling, statistical techniques, and machine learning applications.
    • Conduct statistical analysis, predictive modeling, and hypothesis testing to evaluate mental health program outcomes.
    • Design and analyze A/B tests to support the optimization of mental health tools and resources.

Requirements

  • Proficiency in SQL for data extraction and manipulation.
    • Strong skills in Python, R, or other statistical programming languages.
    • Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) is a plus.
    • Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).
    • Knowledge of cloud platforms like AWS, Google BigQuery, or Snowflake.
    • Working knowledge of ETL processes.
    • Exceptional problem-solving skills and attention to detail.
    • Strong communication and storytelling skills to convey data-driven insights to technical and non-technical audiences.
    • Ability to manage multiple projects and prioritize tasks effectively.

Benefits

  • Work in a diverse environment with people from over 10 countries
  • A generous leave policy
  • Work flexibility
  • Medical coverage
  • Annual Wage Supplement (Bonus)
  • Christmas Leave (The team takes the whole Christmas week off separate from our leave policy)
  • Birthday Leave (1 day)
  • Holidays off
  • Quarterly mental health day off
  • Mental health benefits (Premium access to our app)
  • Work-life balance and employee wellness
  • Regular social events where we have non work-related fun

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