Job Description

Job Description

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 Git
• Strong 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

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