Business Intelligence Engineer

1 month ago

Bengaluru, India Zyoin group Full time

Function : Data Science and Analysis

Technical Skills : Python, Tableau, Business Analysis, Requirements Management, SQL

Responsibilities :

- Gain a comprehensive understanding of business needs and objectives to drive data-driven insights and decisions.

- Refine use cases and expertly plan iterations and deliverables, demonstrating adaptability as needed to meet evolving business requirements.

- Estimate efforts accurately and provide regular task updates to maintain adherence to project timelines.

- Set and manage stakeholder expectations effectively, ensuring alignment between business goals and analytical deliverables.

- Collaborate with Business Analyst (BA) and Senior Business Analyst (SBA) resources in requirement gathering and final presentations, translating business requirements into actionable data analysis tasks.

- Resolve blockers related to technical challenges and decision-making, leveraging Python, Tableau, SQL, and other relevant tools.

- Scrutinize final deliverables for correctness and conduct code reviews in collaboration with the Manager to ensure data accuracy and reliability.

- Orchestrate the building, maintenance, and performance monitoring of key metrics, utilizing Tableau for data visualization and reporting.

- Take ownership of and manage data models, data sources, and the data definition repository to maintain data integrity and consistency.

- Make crucial low-level design choices during project execution, optimizing data analysis processes and workflows.

- Provide technical guidance as needed to foster a collaborative team environment, sharing best practices and innovative solutions.

- Enhance benchmarking and decision-making skills at the execution level through continuous learning and knowledge-sharing initiatives.

- Conduct effective training sessions to swiftly onboard and elevate the skills of new resources in data analysis techniques and tools.

- Lead knowledge-building initiatives, focusing on methodologies to position the team for complex problem-solving and advanced analytics.

- Facilitate upstream documentation and discussions on execution challenges, process inefficiencies, and feedback loops to drive process improvements.

- Engage in downstream and parallel communication for context-building, ensuring alignment between data analysis outcomes and business objectives.

(ref:hirist.tech)

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