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Customer-Facing Process & Data Automation Engineer

2 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Customer-Facing Process & Data Automation Engineer

If you're passionate about building smart solutions that simplify work, increase transparency, and empower end users—this role is for you.


Key Responsibilities

  • Collaborate with internal teams or external customers to identify process pain points and automation opportunities
  • Design and deploy workflow automations using low-code/no-code platforms like

    n8n

    ,

    MS Power Automate

    , and

    Alteryx

  • Extract and transform data using SQL

    to power both automations and data visualizations
  • Build operational dashboards and visual reporting in

    Grafana

    and

    Tableau

  • Integrate and monitor key metrics across tools and services to support proactive issue detection and performance tracking

  • Translate business requirements into reliable automation and data solutions, end-to-end

  • Document solutions and conduct user training for adoption and troubleshooting

  • Maintain and optimize existing workflows and dashboards to adapt to evolving business needs

Required Skills and Experience

  • 2+ years of experience in data automation, analytics, or business process improvement
  • Proficiency in SQL for querying and transforming data
  • Hands-on experience with at least two:

    n8n

    ,

    MS Power Automate

    ,

    Alteryx

  • Experience building and managing dashboards in Tableau

    and/or

    Grafana

  • Strong analytical and problem-solving skills with a focus on automation and efficiency

  • Effective communicator, comfortable working directly with both technical and non-technical stakeholders

  • Strong documentation and solution design skills

Nice-to-Have


  • Experience integrating APIs into workflow automations
  • Familiarity with other automation platforms (e.g., Zapier, Make, UiPath)
  • Basic scripting (e.g., Python) for custom logic or transformations
  • Experience working in operations-heavy or real-time data environments (e.g., logistics, IT, customer success)


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