Vacant job

A Data Analyst is responsible for transforming raw data into meaningful insights that support strategic decision-making across the organization. This role involves collecting, cleaning, analyzing, and visualizing data from multiple sources while collaborating with cross-functional teams to improve business performance, operational efficiency, and data-driven outcomes.

Key Responsibilities

• Analyze large, complex datasets using SQL, Python, and BI tools to identify trends, patterns, and actionable insights.
• Develop interactive dashboards and reports using Power BI, Tableau, or similar visualization platforms to support business stakeholders.
• Build and maintain ETL pipelines to ensure accurate, timely, and reliable data flow across systems.
• Partner with product, engineering, finance, and operations teams to define data requirements, KPIs, and reporting standards.
• Conduct statistical analyses, including A/B testing, forecasting, and predictive modeling, to support business experiments and strategic planning.
• Ensure data quality, governance, and compliance with regulatory standards such as HIPAA, GDPR, or industry-specific frameworks.
• Document data processes, business logic, and analytical methodologies to support transparency and reproducibility.
• Support automation initiatives by optimizing workflows, reducing manual reporting, and improving data accessibility.

Required Skills & Qualifications

• Strong proficiency in SQL, Python, and data visualization tools (Power BI, Tableau).
• Experience with ETL tools and cloud data platforms such as Snowflake, AWS, Azure, or Databricks.
• Solid understanding of statistical methods, hypothesis testing, and predictive analytics.
• Ability to translate business questions into analytical solutions with clear, data-driven recommendations.
• Excellent communication skills with the ability to present insights to technical and non-technical audiences.
• Knowledge of data governance, security, and compliance standards.
• Bachelor’s or Master’s degree in Data Analytics, Computer Science, Engineering, Statistics, or a related field.

Preferred Qualifications

• Experience with workflow orchestration tools (Airflow, ADF, Jenkins).
• Familiarity with APIs, automation, and LLM-based workflows.
• Certifications in cloud platforms (AWS, Azure, GCP).
• Background in healthcare, finance, supply chain, or other regulated industries.