Global Business Data Analyst

2 weeks ago


Hyderabad Secunderabad Telangana, India beBeeDataDrivenAnalyst Full time US$ 1,04,000 - US$ 1,30,878

Job Overview

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As a key member of our team, you will play a crucial role in driving business analysis activities aligned with product and engineering objectives. You will collaborate closely with global Commercial Operations SMEs, Data Engineers, Data Scientists, and Product Managers to lead business analysis activities.

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Responsibilities

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  • You will become a domain expert in Commercial Operations data and AI technologies by supporting the development and sustainment of features within Amgen's Quality System.">
  • You will lead voice-of-the-customer assessments to identify business process improvements and define detailed product requirements.">
  • You will define scope, business value, and feasibility for new product developments in collaboration with Product Managers and business stakeholders.">
  • You will partner with Product Management and Engineering to prioritize backlogs and release scopes.">
  • You will ensure both functional and non-functional requirements are captured and addressed in the Product and Release Backlogs.">
  • You will facilitate the breakdown of Epics into Features and Sprint-Sized User Stories; participate in refinement and backlog reviews with development teams.">
  • You will author clear and concise user stories with well-defined acceptance criteria and definitions of done.">
  • You will work closely with Business SMEs, ML Engineers, and Data Scientists to understand data product requirements, KPIs, and data sources.">
  • You will analyze source systems and contribute to the development of Source-to-Target Mapping (STTM) documents.">
  • You will deliver internal and external product demonstrations to support alignment and adoption.">
  • You will maintain accurate documentation related to configurations, workflows, and system/process changes.">
  • You will understand the design and function of end-to-end data pipelines, including dataflow logic.">
  • You will diagnose data issues using knowledge of data structures and collaborate with Data Engineering for resolution.">
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Requirements

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To be successful in this role, you must possess the following qualifications:

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  • You should have a Bachelor's, Master's, or Doctorate degree in a relevant field.">
  • You should have 12 to 17 years of experience in global Commercial Operations Information Systems.">
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Essential Skills

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The ideal candidate will possess the following skills:

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  • Strong problem-solving skills with a focus on AI and data-driven challenges.">
  • Experience with Agile development methodology, specifically Scrum.">
  • Excellent communication and stakeholder management, including senior leadership interaction.">
  • Proficiency in writing user stories and acceptance criteria using agile tools like Jira.">
  • Experience with PI Planning, roadmap creation, and user journey definition.">
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Nice-to-Have Skills

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While not essential, the following skills would be beneficial:

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  • Expertise in data and analytics technologies and systems.">
  • Understanding of software governance, architecture, and infrastructure for data platforms.">
  • Familiarity with low-code/no-code test automation tools.">
  • Exposure to DevOps, CI/CD practices, and Jira Align.">
  • Ability to translate complex technical concepts into clear business language.">
  • Experience with NLP and text/sentiment analysis.">
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Technical Skills

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The ideal candidate will also possess the following technical skills:

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  • Knowledge of cloud-based data platforms, such as Databricks, Redshift, and AWS S3.">
  • Understanding of design patterns, data structures, and test-driven development.">
  • Hands-on experience with cloud environments, especially AWS.">
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Soft Skills

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Finally, the ideal candidate will possess the following soft skills:

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  • Self-starter, able to work with minimal supervision.">
  • Strong analytical and gap assessment abilities.">
  • Excellent verbal and written communication skills.">
  • Effective in cross-functional, global, and virtual team environments.">
  • Ability to manage multiple priorities in a dynamic setting.">
  • Team-oriented with a commitment to shared success.">
  • Confident public speaker and skilled in presentations.">
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