About Company :
A growing innovative FinTech, eCommerce company, which provides brand name durable goods to consumers on a lease-to-own (LTO) basis through its ecommerce marketplace and LTO payment method. It also provides LTO technology platforms to retailers and e-tailers to enter transactions with consumers who want to obtain durable goods, but do not have the available cash or credit.
We enjoy an accessible, fun, and fast-paced onsite work environment, where we collaborate with colleagues at all levels of the organization. We are creative and resolute initiative-takers who are comfortable working in a deadline-driven ever-changing startup environment.
Sponsorship Notice : Applicants must be authorized to work in the United States without the need for current or future visa sponsorship.
Overview :
We are looking for a detail oriented, skilled and motivated Business Intelligence / Data Analyst with 3 to 5 years of experience to join our data-driven team. The ideal candidate will have a strong foundation in SQL, data analysis, and data visualization, with a passion for transforming data into actionable insights to support strategic decision-making.
Key Responsibilities :
- Develop and maintain SQL queries, views, and functions to support reporting and analytics needs.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Build and maintain dashboards and reports using tools such as Power BI, Tableau, or Looker.
- Ensure data quality and integrity through validation checks and QA processes.
- Work with large datasets to perform data analysis, identify trends, and generate insights.
- Participate in performance tuning of queries and support improvements to data infrastructure.
- Collaborate with team members using version control systems like Git to manage code changes.
- Continuously improve reporting processes and documentation.
Qualifications :
Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field.3–5 years of hands-on experience in a BI Analyst, Data Analyst, or similar role.Strong SQL skills, including joint, aggregations, and analytical functions.Experience in building and optimizing stored procedures and reusable data scripts.Familiarity with data modeling and database design concepts.Hands-on experience with at least one data visualization tool (e.g., Power BI, Tableau, Looker).Exposure to version control systems such as GitStrong analytical thinking and problem-solving abilities.Effective communicator with the ability to present findings to both technical and non-technical audiences.Preferred Qualifications :
Experience working with cloud-based databases (e.g., AWS RDS, Google BigQuery, Azure SQL).Basic knowledge of Python or R for data manipulation or analysis.Familiarity with Agile or Scrum development methodologies.Understanding of ETL processes and data pipeline concepts.Comfortable in a fast paced startup environment, owning your deliverables