Technical Business Analyst III

6 - 10 years

7 - 11 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • We are looking for a versatile and driven

    Senior Business Data Analyst

    with a solid foundation in business analysis and a growing focus on AI. In this pivotal role, you will gather and define requirements to enable the development of robust data pipelines that power operational processes and advanced analytics.
  • You will also contribute to the identification and scoping of AI use cases, helping to shape and support AI-driven solutions that deliver measurable business value.
  • Working cross-functionally with data engineers, visualization experts, and business stakeholders, you will help build scalable data infrastructure, ensure data quality, and enable insight delivery through dashboards and analytics applications.

Key Responsibilities:

  • Serve as the primary liaison between business stakeholders and the data engineering/visualization teams.
  • Elicit, document, and prioritize business requirements for data ingestion, transformation, and visualization use cases.
  • Define and validate KPIs and business metrics, ensuring alignment across data pipelines and dashboard outputs.
  • Collaborate with data engineers to ensure source data is captured, cleaned, and modeled effectively to meet business needs.
  • Work with visualization engineers to ensure insights are presented clearly through intuitive dashboards and self-service tools.
  • Lead data validation and UAT efforts to maintain data integrity, accuracy, and completeness throughout the data lifecycle.
  • Identify data gaps, inefficiencies, and opportunities for process optimization and automation.
  • Develop clear and concise documentation including user stories, data dictionaries, process flows, and technical specifications.
  • Conduct root cause analysis of data issues and collaborate with engineers to implement sustainable solutions.
  • Support training, adoption, and rollout of data products across the organization.

About the Team:

 
You will be part of

Area III Data Engineering Analytics Product Area

, which serves as the data backbone for several key group functions including HR, Legal Compliance, Procurement, Communications, Branding, Marketing, and Corporate Real Estate Services.

Education Experience:

  • bachelors or masters degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • 6 10 years of experience as a Data Analyst, Business Analyst, or similar role in a data-centric environment.
  • Proven experience working with cross-functional teams involving data engineers, visualization developers, and business users.
  • Demonstrated track record of delivering

    end-to-end data solutions

    , from ingestion to dashboard delivery.
  • Familiarity with

    AI/ML workflows

    and exposure to how models are used in business applications.
  • Strong understanding of data modeling, ETL/ELT processes, and experience with cloud data platforms (eg, Snowflake, AWS, Azure).
  • Knowledge of data quality and reconciliation testing best practices.

Technical Skills:

  • Proficiency in

    SQL

    for querying and validating large datasets.
  • Experience with BI/visualization tools such as

    Power BI

    ,

    Tableau

    , or equivalent.
  • Familiarity with data modeling concepts and data integration processes.
  • Exposure to

    APIs

    , application interfaces, and modern data architectures is a plus.
  • Hands-on experience in Agile/Scrum environments, including writing user stories and participating in sprint planning.
  • Nice to have:

    Basic understanding of

    AI/ML concepts

    and how models (eg, predictive analytics, scoring systems) integrate with data platforms.

S

oft Skills

  • Strong communication and stakeholder engagement skills able to effectively bridge the gap between business and technical teams.
  • High attention to detail with a strong analytical and critical thinking mindset.
  • Self-starter with the ability to lead initiatives independently and influence without authority.
  • Collaborative and solutions-oriented, with a proactive problem-solving attitude.

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