Business Data Analyst

5 - 10 years

0 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role Summary

The Business Analyst (data specialization) role serves as the critical link between business needs and technical execution. This role requires a deep understanding of business objectives and problems to drive system and process improvements. The primary focus is on analyzing current operational resources, defining requirements for new functionalities, and translating complex functional challenges into clear, actionable technical specifications for development teams. This role will be part of a product team specializing in labor market insights and research to support clients staffing needs.

Responsibilities

1. Strategic Analysis and Solution Definition:

  • Business Problem Analysis:

    Understand complex business objectives and pain points, identifying current functionalities, data input/output requirements, and business logic needs (e.g., how one functionality can differ from one region to another).
  • Alternative Solutions:

    Identify, analyze, and perform feasibility studies on functionalities requiring granular solutions or improve existing functionalities (e.g., what will be the impact on data volume if lower granularity of location is exposed).
  • Data Mapping and Business Logic:

    Review functional requirements and create mapping with data fields to leverage the true potential of the underlying data (e.g., mapping data on to heatmap based on defined distance radius).

2. Requirements Elicitation and Documentation

  • Functional Documentation:

    Analyze existing business requirements, data flows, and processes, documenting functionalities and current data gaps.
    • Data mapping with business logic and functional requirements to enable accurate creation of bronze, silver, gold data layers
    • Logic definition for metrics such as scarcity, job vacancy rate, market tightness etc
    • Data mapping for heatmaps, comparative insights, logical flow for location mapping etc
    • Quality parameter definitions for correct insight creation
  • Comprehensive Requirement Writing:

    Elicit and write clear, comprehensive business requirements for new functionalities or feature enhancements.
  • User Story Development:

    Translate complex business needs into clear, actionable functional and non-functional requirements, primarily documenting them as Epics and detailed User Stories with robust acceptance criteria.
  • Communication:

    Write detailed descriptions of user needs, functions, and the steps required to develop or modify insights, ensuring alignment with product objectives.

3. Collaboration and Alignment

  • Stakeholder Partnership:

    Collaborate closely with business stakeholders, Product Owners, and technical teams (development and quality assurance) to ensure feature capabilities align perfectly with functional and product objectives.
  • Facilitation & Presentation:

    Utilize excellent communication and interpersonal skills to facilitate workshops, gather essential information, and present findings and recommendations to diverse audiences.

Qualifications

Candidates must meet or exceed the following required skills and experience:

  • Data specialization: Hands-on experience as a Business Analyst with data specialization, demonstrating strong analytical and documentation skills.
  • Experience and expertise in working with BigQuery to enable data driven decisions
  • Cross-Functional Collaboration: Proven ability to collaborate with technical and non-technical teams to analyze complex, data-driven business problems and recommend actionable solutions.
  • Data Workflow Optimization: Experience designing and optimizing data workflows and data management processes using modeling or mapping tools.
  • Agile Documentation: Well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams.
  • Data Documentation: Experience creating and maintaining data-related documentation, including:
    • Data dictionaries
    • Business Requirement Documents (BRD)
    • Data mapping specifications

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