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Data Analyst - Business Intelligence (2-5 yrs)
HireXtra
posted 2mon ago
Flexible timing
Key skills for the job
Key Responsibilities :
Data Analysis :
- Utilize data analysis tools (SQL, Tableau, Excel) to extract, clean, and transform API usage data.
- Conduct in-depth analysis of API usage patterns, performance metrics, and error logs.
- Identify trends, anomalies, and potential issues within API data.
API Lifecycle Management :
- Gain a solid understanding of API lifecycle management tools and platforms (Apigee, Postman).
- Leverage API governance principles and OpenAPI specifications to ensure data quality and consistency.
- Manage and maintain API metadata to facilitate efficient analysis and reporting.
Insight Generation :
- Interpret API usage data to uncover valuable insights into consumer behavior, product performance, and market trends.
- Develop data-driven recommendations to optimize API performance, enhance user experience, and drive business growth.
- Create compelling visualizations (dashboards, reports) to communicate findings effectively to technical and non-technical audiences.
Strategic Impact :
- Collaborate with cross-functional teams (product management, engineering, and business development) to align data insights with strategic objectives.
- Contribute to data-driven decision-making processes and support initiatives to improve API adoption and utilization.
Required Skills and Experience :
- Proven experience in data analysis and business intelligence.
- Strong proficiency in SQL, Tableau, and Excel.
- Familiarity with API lifecycle management tools and platforms (Apigee, Postman).
- Understanding of API governance, OpenAPI specifications, and metadata management.
- Ability to interpret complex data sets and extract meaningful insights.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications :
- Experience with data visualization tools (Power BI, Looker).
- Knowledge of statistical analysis techniques.
- Experience working with large datasets and distributed computing frameworks (Hadoop, Spark).
- Understanding of cloud-based data platforms (AWS, GCP, Azure)
Functional Areas: Other
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