Deskripsi Pekerjaan
Are you a data-driven professional looking to make a significant impact in the loyalty space? ConnectOS is hiring a mid-level Data Analyst to join our dynamic team supporting AU Loyalty Services. In this role, you will be instrumental in the development, maintenance, and optimization of our proprietary loyalty data ecosystem. You will leverage cloud-native technologies to transform raw data into actionable insights that drive business strategy and customer retention.
The ideal candidate is a proactive problem-solver with strong experience in Snowflake and AWS environments. You will work closely with cross-functional teams to automate reporting, perform deep-dive analytics, and ensure data integrity across our loyalty platforms. This is a unique opportunity to work in a collaborative, remote-friendly environment while advancing your expertise in cloud-based data warehousing.
Tanggung Jawab
- Develop and maintain robust data pipelines and analytics models using Snowflake and AWS.
- Perform in-depth analysis of loyalty program data to identify trends, customer behaviors, and opportunities for growth.
- Create and manage automated dashboards to provide real-time reporting for stakeholders.
- Collaborate with engineering teams to optimize database performance and query efficiency.
- Ensure data quality, accuracy, and compliance throughout the data lifecycle.
- Translate complex data findings into actionable business recommendations and strategic insights.
- Maintain technical documentation for data processes, models, and analytical tools.
Kualifikasi
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Minimum 3-5 years of experience in data analysis, specifically within a cloud-based architecture.
- Proficiency in SQL and experience working with Snowflake data warehousing.
- Hands-on experience with AWS cloud services (e.g., S3, Glue, Athena, Redshift).
- Strong knowledge of BI tools like Tableau, Power BI, or Looker.
- Proven ability to manipulate, clean, and visualize large, complex datasets.
- Strong analytical mindset with the ability to communicate technical insights to non-technical stakeholders.
- Experience in loyalty or retail analytics is highly preferred.