Job Description & Details
If you are an early-career data analyst looking to get your hands dirty with real retail and e-commerce datasets, this role at AaraTech Inc is worth a serious look. It is a foundational analytics position focused on turning raw sales and transaction numbers into actionable business insights without getting bogged down in overly complex machine learning pipelines.
What You'll Actually Be Doing
Expect to spend a good chunk of your day writing SQL to pull data, cleaning it up, and building or updating Tableau and Power BI dashboards that stakeholders will actually use. You will be fielding ad-hoc requests from business teams, validating data integrity, and making sure the KPI reports are accurate and delivered on time. The challenge here isn't inventing new algorithms; it is communicating clearly with non-technical teams and keeping your data pipelines and reporting sheets organized.
The Core Tech Stack
SQL and Advanced Excel are your bread and butter here—you literally cannot survive this role without being comfortable writing complex queries and manipulating messy datasets using pivot tables and lookups. On top of that, you need working proficiency in either Tableau or Power BI to translate those numbers into visual dashboards that tell a coherent story about revenue, margins, and customer behavior.
Interview Expectations
When you sit down with the hiring manager, expect them to test your SQL fluency on the spot, likely asking you to write a multi-join query with aggregations and window functions to solve a customer purchase retention problem. They are not just looking for syntax; they want to see how you troubleshoot missing or corrupted data and how you approach validation checks before handing a report over to business leaders.
Application Advice
To get past the ATS and catch the recruiter's eye, your resume needs to put SQL, Advanced Excel, and Tableau or Power BI front and center. Do not just list the tools; highlight specific metrics you have tracked or dashboards you have built in past roles, making sure to use keywords like retail analytics, KPI reporting, and transaction data analysis to match the job description.