Hyderabad, Telangana, India
Information Technology
Full-Time
PANMACH
Overview
Role : Data : Jaipur/Indore
Notice : Immediate joiners only
Basic Responsibilities (Must-Haves)
Notice : Immediate joiners only
Basic Responsibilities (Must-Haves)
- 5+ years of experience in dashboard story development, dashboard creation, and data engineering pipelines.
- Hands-on experience with log analytics, user engagement metrics, and product performance metrics.
- Ability to identify patterns, trends, and anomalies in log data to generate actionable insights for product enhancements and feature optimization.
- Collaborate with cross-functional teams to gather business requirements and translate them into functional and technical specifications.
- Manage and organize large volumes of application log data using Google Big Query.
- Design and develop interactive dashboards to visualize key metrics and insights using any of the tool like Tableau Power BI, or ThoughtSpot AI .
- Create intuitive, impactful visualizations to communicate findings to teams including customer success and leadership.
- Ensure data integrity, consistency, and accessibility for analytical purposes.
- Analyse application logs to extract metrics and statistics related to product performance, customer behaviour, and user sentiment.
- Work closely with product teams to understand log data generated by Python-based applications.
- Collaborate with stakeholders to define key performance indicators (KPIs) and success metrics.
- Can optimize data pipelines and storage in Big Query.
- Strong communication and teamwork skills.
- Ability to learn quickly and adapt to new technologies.
- Excellent problem-solving skills.
- Knowledge of Generative AI (GenAI) and LLM-based solutions.
- Experience in designing and developing dashboards using ThoughtSpot AI.
- Good exposure to Google Cloud Platform (GCP).
- Data engineering experience with modern data warehouse architectures.
- Participate in the development of proof-of-concepts (POCs) and pilot projects.
- Ability to articulate ideas and points of view clearly to the team.
- Take ownership of data analytics and data engineering solutions.
- Experience working with large datasets and distributed data processing tools such as Apache
- Familiarity with Agile development methodologies and version control systems like Git.
- Familiarity with ETL tools such as Informatica or Azure Data Factory
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