About Company
Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family’s future. Kids and teens learn to earn, save, spend wisely, and invest.
At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It’s no small task, and that’s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.
About Job
Greenlight Financial is seeking a highly skilled and experienced Data Analytics Engineer to join our Data Platform Team. As a Data Analytics Engineer you will play a crucial role in developing and implementing data models and analytics solutions using DBT and Snowflake.
Your primary focus will be on leveraging these technologies to design and build scalable data pipelines, perform complex data transformations and develop analytical models that contribute to our business development and risk management strategies. You will collaborate closely with cross-functional teams including data scientists, analysts and software engineers to ensure the successful delivery of robust and reliable data solutions.
Greenlight Is Hiring A Fresher Data Analyst ; Apply Now
| Job ID | 618462 |
| Job Role | Data Analyst |
| Education Qualifications | BE/B.Tech or Other Tech Degree |
| Salary Package | 4 to 6 LPA or as per company standards |
| Experience | Fresher or Entry Leval |
| Job Location | Pune and Bengaluru |
| Last apply date | ASAP |
Responsibility
- Utilize DBT and Snowflake to design, develop, and maintain scalable and efficient data pipelines for analytics purposes.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models.
- Work with cross functional teams on data requirements, quality assurance, and data infrastructure needs on product initiatives
- Perform complex data transformations, including data cleaning, aggregation, and enrichment, to ensure the availability of high-quality data for analysis.
- Develop and maintain analytical models and algorithms to support data assessments, portfolio analysis, and predictive modeling.
- Optimize and fine-tune data pipelines and models to improve performance, accuracy, and reliability.
- Conduct data profiling, analysis, and validation to identify data quality issues and implement appropriate solutions.
- Monitor and troubleshoot data pipelines and analytics workflows to ensure smooth and efficient operations.
Required Things
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. Advanced degree preferred.
- Prior experience working as a Data Engineer, Analytics Engineer, or similar role preferably in the fintech or financial services industry.
- Proficiency in implementing data solutions using DBT (Data Build Tool) and Snowflake is essential.
- Strong knowledge of SQL and expertise in data modeling, data warehousing, and ETL processes.
- Experience with Python or other programming languages for data manipulation and scripting.
- Familiarity with risk management concepts and analytics methodologies in the fintech domain.
- Demonstrated ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills and attention to detail, with a focus on delivering high-quality, reliable solutions.
- Experience with version control systems (e.g., Git) and agile development methodologies is a plus.
- Familiarity with other data engineering tools, such as Apache Airflow, Databricks is a plus.