B-Parts
is building a trusted global eCommerce brand for used auto parts, making it effortless to search and buy original parts. Every day, we help hundreds of repair shops and customers find the best solutions for their vehicles. With a diverse and talented team, we foster an empowering environment where everyone can thrive and achieve their full potential. If you're looking to grow your skills in the fast-paced eCommerce world,
B-Parts
is the perfect place to learn, collaborate, and make an impact.
Overview
We are seeking an enthusiastic and motivated
Junior Data Analyst
to join our team. The ideal candidate has a strong foundational understanding of
Data Analysis
principles and is eager to apply their technical skills in
Python, SQL
, and
Business Intelligence (BI) tools
to extract insights that drive business decisions. This is an excellent opportunity for an aspiring analyst to grow their career and contribute immediately to high-impact projects.
Key Responsibilities
* Data Extraction & Transformation:
Write and optimize
SQL queries
to extract data from various databases and reporting.
* Data Analysis & Modeling:
Use
Python
libraries (e.g., Pandas, NumPy) to clean, transform, and analyze large datasets, identifying trends, patterns, and anomalies.
* Reporting & Visualization:
Develop, maintain, and automate dashboards and reports using
BI tools
(e.g., Tableau, Power BI, Looker) to visualize key performance indicators (KPIs) and present findings clearly to non-technical stakeholders.
* Insight Generation:
Support senior analysts by conducting deep-dive analyses on business problems, translating data into actionable insights and recommendations.
* Data Quality:
Assist in monitoring data quality and integrity, ensuring the accuracy and reliability of reports and analyses.
* Documentation:
Maintain clear and concise documentation for data sources, logic, and reports.
Required Skills & Qualifications
* Education:
Bachelor's degree in a quantitative field such as Engineering, Computer Science, Mathematics or a related discipline.
* SQL Proficiency:
Solid understanding of relational databases and demonstrable skill in writing complex
SQL queries
for data retrieval and manipulation (e.g., joins, aggregations, window functions).
* Python Programming:
Foundational knowledge of
Python
and its application in data analysis, including experience with core libraries like
Pandas
and
NumPy
. Experience with visualization libraries (e.g., Matplotlib, Seaborn) is a plus.
* BI Tool Experience:
Hands-on experience creating dashboards and reports using at least one major
Business Intelligence tool
(e.g., Tableau, Power BI, Google Looker/Data Studio).
* Analytical Thinking:
Strong analytical and problem-solving skills with an attention to detail.
* Communication:
Excellent verbal and written communication skills, with the ability to articulate technical findings to a general audience.
Preferred Qualifications (Nice-to-Have)
* Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery).
* Familiarity with statistical analysis and basic machine learning concepts.
* Exposure to version control systems like Git.
Benefits
* Insurance package;
* Bonus plans.
Location
* Porto headquarters.