Data Analyst - SQL/Python (5-8 yrs)

Job Description :

Desired Qualifications :

- Advanced working knowledge of SQL and Python for data manipulation and analysis.

- Familiarity with Cloud (AWS, Lambda, EC2, SageMaker) based data solutions and tools

- Expertise in designing and evaluating complex data models.

- Experience with data cleansing, data manipulation, and performance tuning.

- Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.

- Minimum of 5+ years of experience in data engineering, data analysis, data provisioning, data modelling, and solution development.

- Proven track record of collaborating with business partners to identify issues and use data for effective decision making.

- Proficient in preparing comprehensive reports using Power BI and Tableau highlighting trends, patterns, and predictions for stakeholders.

- Familiarity with developing end-to-end solutions using modern technologies and frameworks.

- Ability to drive innovation by creating new frameworks, standards, prototypes, and automation projects.

- Excellent communication and networking skills to collaborate effectively with colleagues and business partners.

- Demonstrated flexibility and problem-solving skills in dynamic settings.

- Strong organizational skills and attention to detail.

- Ability to work independently and as part of a team.

- Proactive attitude towards continuous learning and professional development.

Desired Technical Skills :

- Python : Proficiency in Python for data manipulation, analysis, and automation.

- SQL : Advanced skills in SQL for database querying and data manipulation.

- Power BI : Experience in creating interactive dashboards and reports.

- Tableau : Proficiency in developing and maintaining visualizations.

- AWS : Hands-on experience with AWS services, including Lambda, EC2, S3, and other relevant services.

- Cloud Templates : Knowledge of infrastructure as code (IaC) using tools like AWS CloudFormation or Terraform.

- Github : Experience in using GitHub for version control and collaboration.

- Jira : Familiarity with Jira for project tracking and agile methodologies.

- Experience with CI/CD pipelines to automate testing, integration, and deployment of data solutions (using tools such as Jenkins, GitLab CI, or AWS CodePipeline).