Data Analyst

About the Role :

We are seeking an attentive and analytical Data Analyst to join our team. The successful candidate will work closely with the Lead Data Engineer and leverage our advanced technology stack to extract meaningful insights from data, support data-driven decision-making, and contribute to the overall success of our data initiatives. This role requires strong analytical skills, proficiency in data visualisation, and experience with the technologies mentioned previously.

Key Responsibilities :

Collaborate with the Lead Data Engineer to gather, process, and analyze large datasets.

Develop and maintain interactive dashboards and reports using AWS QuickSight.

Write and optimize SQL queries to extract and manipulate data for analysis.

Use Python and PySpark to conduct data cleaning, transformation, and analysis tasks.

Support data integration and transformation processes, ensuring data quality, accuracy, and consistency.

Assist in the development and maintenance of data pipelines and ETL processes using Apache Airflow.

Conduct exploratory data analysis to uncover trends, patterns, and insights that inform business decisions.

Ensure data security and compliance with relevant regulations and standards in all analytical tasks.

Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions.

Document analytical processes, methodologies, and findings to ensure transparency and reproducibility.

Stay updated on the latest trends and best practices in data analysis and visualization.

Provide support in data-driven projects and contribute to the team's efforts in improving data availability and usability.

Proactively identify and communicate any data-related issues or discrepancies to the Lead Data Engineer and offer potential solutions.

Participate in data validation and data cleaning activities to maintain high standards of data integrity.

Skills

SQL

Google Analytics

Aws Quicksight

Ideal Candidate :

Minimum of 5 years of relevant professional experience, complemented by a Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Technology, or a related field.

Proficiency in SQL for data querying and manipulation.

Experience with data visualization tools, particularly AWS QuickSight.

Strong programming skills in Python, with experience in data analysis libraries like Pandas and NumPy.

Familiarity with big data technologies, including PySpark and AWS Glue.

Understanding of data warehousing concepts and the ability to work with data lakes.

Excellent analytical skills with the ability to interpret complex datasets and draw actionable insights.

Ability to understand business requirements and translate them into technical data specifications.

Preferred time zones :

Pacific Time, Central Time, Eastern Time

About the Client :

A fast-growing U.S.-based e-commerce and live-shopping platform that’s transforming the way people discover and purchase products online. Our technology enables creators, brands, and retailers to engage audiences through interactive video experiences combining storytelling, community, and seamless checkout in one platform. With a strong presence across entertainment, retail, and digital media, we’re redefining social commerce and powering the next generation of online shopping experiences.

About Aura Recruitment Solutions :

We connect global SaaS and AI-driven companies with top remote talent from India. Our mission is to make remote hiring simple, fast, and reliable.

Interested?

Apply now or share your updated resume with us at ritu@aurarecruitmentsolutions.com Shortlisted candidates will be contacted for the next steps.