Senior Data Engineer / Analyst

Overview
We are seeking a highly skilled and data-driven Data Analyst with experience in Amazon API integrations and advanced data visualization tools like Power BI and Google BigQuery. This role involves gathering, analyzing, and interpreting large datasets to uncover insights that will drive business strategies and improve performance. This role is pivotal in shaping data-driven decisions that fuel our businesses growth. Join us to leverage your expertise and make a measurable impact.

About us
We are a company dedicated to delivering exceptional customer experiences. We firmly believe that it's not just about the products; it's about the connections customers establish with our brand and the overall experience they have. Our approach goes beyond pricing and features; it's centered on creating meaningful interactions and lasting relationships with our valued customers.
Our team consists of thirteen dedicated members, each contributing their expertise to various aspects of our business. Our roles span across different departments including Finance, Marketing, Supply Chain, Human Resources and Research and Development.
Looking ahead, our aspirations for the year include improving our operations, launching new brands, and expanding our business footprint. To facilitate this growth, we are actively seeking a Data Analyst who can take the lead with our


Responsibilities
Data Collection & Integration:Work with Amazon APIs to extract and manage sales, inventory, and customer data. Integrate data from multiple sources into centralized platforms like BigQuery and Google Sheets into reports.
Reporting & Visualization:Automate and create dashboards and reports in Power BI, BigQuery, or similar tools to present findings to stakeholders.
Process Improvement: Develop and implement data models to support decision-making and automate repetitive data processes for efficiency.

Skills and Experience
Strong expertise in Amazon API integrations and querying Amazon datasets.
Advanced skills in Power BI, Google BigQuery, SQL, SQ Lite (Coding) and Python (or R).
Familiarity with data warehousing concepts and tools.
Experience in statistical analysis, data modeling, and predictive analytics
Excellent written and verbal communication skills.
Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
3+ years of experience as a Data Analyst, preferably in e-commerce or a similar domain.

Preferred Qualifications
Experience with Amazon Seller Central or Vendor Central reporting.
Familiarity with machine learning frameworks is a plus.
Strong understanding of e-commerce metrics and customer behavior analysis

Note : This is a project based role and ranges from 4 - 20 hours per month.