We are looking for Data & Business Intelligence Analyst will play a crucial role in transforming data into actionable insights. Data & Business Intelligence Analyst will collaborate with cross-functional teams to drive strategic decision-making and enhance business performance.
What We Can Offer:
- Competitive Salary
- 20 Paid Time Off with 5 convertibles to cash at the end of the year
- HMO (with 2 dependents - co paid)
- Group Life and Accident Insurance
- Other exciting monetary allowances
- Great team, culture, and environment and tons of opportunity for career growth
Work Schedule: Day / Night
Work Type: Hybrid
Position To Fill: One
What You'll Do:
- Design and Automate Reports: Build automated, scalable reporting solutions and key business metrics using Python, SQL, and AWS QuickSight.
- Data Strategy & Governance: Ensure high data quality, accuracy, and security across multiple data sources, helping establish and enforce best practices in data management.
- Collaborate Cross-Functionally: Work closely with product, sales, and marketing teams to provide data-driven insights
- Data Integration & ETL Pipelines: Develop and maintain ETL processes to integrate data from multiple sources, including ad platforms, customer databases, and web analytics.
- Dashboard & Visualization Development: Design interactive dashboards and real-time reporting solutions using AWS QuickSight, Tableau, Power BI, or similar tools.
- Make conclusions from your analysis, present your results, and advocate for proposed next steps to key decision makers.
- Monitor and audit data quality to maintain accuracy and consistency.
- Mentor & Train: Provide guidance to junior analysts on best practices for SQL querying, data visualization, and report automation.
What You Need to Qualify:
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or related field.
- 4+ years of experience in data analytics, business intelligence or a related field.
- 1-2 years of experience with AWS Quicksight
- Proficiency in SQL and Python (experience with Pandas, NumPy, and data visualization libraries).
- Experience with AWS services (QuickSight, Athena, Redshift, Glue, or similar).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Ability to communicate technical insights to non-technical stakeholders and drive data-informed decisions.
- Ability to work with large datasets and conduct complex data analysis.
- Experience with data warehousing concepts, data modeling, and cloud-based analytics platforms.
- Self-starter with strong project management skills, able to handle multiple priorities in a fast-paced environment.
- Experience as a Database Administrator is a plus