Hyderabad, Telangana, India
Information Technology
Full-Time
NationsBenefits
Overview
Position Overview:
As a Data Analyst/ Senior Data Analyst, you will be responsible for the Requirement Gathering, Data Analysis, Development and implementation of Automated data reporting solutions to support our organization's datadriven initiatives to ensure data accuracy and enable data-driven decisionmaking across the organization. The ideal candidate will possess a minimum of 3-7 years of hands-on experience in data Analyst on highperforming teams. Expertise in DBT, Airflow, SQL, Python, Reporting pg. 2 Tools, Automation, Validation is a must and knowledge of Databricks is addon.
Key Responsibilities:
As a Data Analyst/ Senior Data Analyst, you will be responsible for the Requirement Gathering, Data Analysis, Development and implementation of Automated data reporting solutions to support our organization's datadriven initiatives to ensure data accuracy and enable data-driven decisionmaking across the organization. The ideal candidate will possess a minimum of 3-7 years of hands-on experience in data Analyst on highperforming teams. Expertise in DBT, Airflow, SQL, Python, Reporting pg. 2 Tools, Automation, Validation is a must and knowledge of Databricks is addon.
Key Responsibilities:
- 3 to 7 years of hands-on experience using DBT. Airflow, Python, Reporting Tools and SQL as Data Analyst Preferred from Healthcare & Fintech Domain having Automation First Mindset.
- Hands-on experience with Data Collection, Data Analysis, Data modeling, Data validation, Data Presentation using DBT, Airflow, SQL, Python, Reporting Tools (Tableau)
- Data Modeling: Create and maintain data models, data dictionaries, and documentation to support efficient data analysis and reporting.
- Performance Optimization and Automation: Continuously monitor and optimize reporting solutions and Automate Current Reporting for efficiency. Debugging DAG failures and fixing them.
- Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and stakeholders, to understand their data needs and deliver solutions.
- Data Quality Assurance: Implement data validation and cleansing processes to ensure data accuracy, consistency, and reliability
- Automation: Automate existing Manually generated reports using tech stack.
- Ad hoc Data Analysis and Reporting/Dashboard Development: Perform exploration data analysis, develop data visualizations, and generate actionable insights to support business decision making.
- Stay Current: Stay up to date with emerging trends and technologies in data engineering and analytics and make recommendations for their adoption.
- Bachelor’s degree in computer science, Information Technology, or a related field.
- Minimum 3+ years of hands-on experience using DBT. Airflow, SQL, Python, Automation
- Expertise in building Automated Data Reports and Dashboards using SQL, Python, Reporting Tools
- Strong Debugging and Automation skills
- Strong understanding of DWH/Data Lake concepts and methodologies.
- Experience with cloud platforms such as Azure, AWS or GCP
- Excellent communication, Presentation and interpersonal skills
- Excellent problem-solving skills and attention to detail
- Knowledge of data quality, data Validation, data security and compliance standards is a plus.
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