Business Analyst

5 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

FreightFox


analytical engine


solving problems with data


Key Responsibilities

1. Business Understanding & Process Mapping

  • Partner with stakeholders to understand core operational processes, dependencies, and bottlenecks.
  • Map and document “As-Is” and “To-Be” workflows across logistics, SCM, and manufacturing functions.
  • Identify automation and digitization opportunities that can enhance speed, visibility, and accuracy.


2. Data Analysis & Insight Generation

  • Gather, clean, and analyze datasets from multiple systems to identify trends, inefficiencies, and performance drivers.
  • Build and maintain

    BI dashboards (Power BI / Tableau)

    and reports to track KPIs across operations, customer delivery, and cost optimization.
  • Present insights that guide business decisions — from process redesign to product enhancements.


3. Requirement Gathering & Solution Design

  • Work with cross-functional teams to define business needs and translate them into

    clear, structured requirements

    for development.
  • Draft

    BRDs, FRDs, and user stories

    that reflect measurable outcomes.
  • Collaborate with product and tech teams during UAT and deployment to ensure solutions align with expectations.
  • Design and Deliver Solutions to customers with strong support and lead Change Management with Customer Support Teams at the customer's end.


4. ERP & System Enablement

  • Support ERP or related platform implementations by aligning configurations with process logic.
  • Validate data accuracy, process flows, and system usability through real-time testing and feedback loops.


5. Performance Measurement & Continuous Improvement

  • Monitor post-implementation performance and adoption.
  • Recommend data-backed improvements to drive ROI, efficiency, and customer satisfaction.


Qualifications

  • Bachelor’s or Master’s degree in

    Engineering, Business, Information Systems

    , or related discipline.
  • 1–5 years of experience

    as a

    Business Analyst / Data Analyst / Process Analyst

    , preferably in

    logistics, manufacturing, or supply chain

    .
  • Proven track record of working in

    startup or fast-paced environments

    .
  • Experience in

    ERP implementation or process automation

    projects is a strong advantage.


Skills & Competencies

  • Deep understanding of

    logistics, SCM, or manufacturing workflows

    .
  • Strong proficiency in

    Excel (advanced), Power BI, or Tableau

    .
  • Hands-on experience with

    data modeling, KPIs, and performance dashboards

    .
  • Familiarity with

    ERP, WMS, CRM, or similar systems

    .
  • Excellent

    requirement documentation, process mapping, and analytical skills

    .
  • Knowledge of

    Agile collaboration tools

    (Jira, Confluence) preferred.
  • Strong business acumen with the ability to connect data to decision-making.
  • Self-driven, curious, and comfortable navigating ambiguity.


Traits We Value

  • Analytical & Curious:

    You question the status quo and use data to find better ways.
  • Detail-Oriented:

    You love structured problem-solving and crisp documentation.
  • Collaborative:

    You work seamlessly across business and tech teams.
  • Outcome-Focused:

    You translate insights into measurable impact.
  • Adaptable:

    You thrive in a dynamic, startup ecosystem.
  • Customer-First:

    You think of value creation before deliverables.


What You’ll Get

  • A front-row seat in a

    high-growth startup

    shaping India’s logistics transformation.
  • Opportunities to

    build analytical frameworks

    and influence key business decisions.
  • A collaborative environment with

    leaders who value innovation and ownership

    .
  • Competitive compensation and

    ESOPs

    for long-term contributors.
  • The freedom to

    create meaningful change

    — from data to decision.


About FreightFox


FreightFox


data, operations, and digital transformation

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