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Project Analyst

ParallelDots

Role overview

Qualifications

  • Bachelor’s or master’s degree in computer science, Data Science, IT, Engineering, or a related technical discipline.
  • 2+ years of experience in data analysis or analytics project management.
  • Understanding of model evaluation techniques and data pipeline orchestration.
  • Strong analytical, problem-solving, and organizational skills.

Responsibilities

  • Collect, clean, and analyze large datasets to support model training and validation.
  • Initiate, configure, and monitor AI model training pipelines.
  • Collaborate with data scientists, ML engineers, and project teams to define and refine training objectives.
  • Manage project timelines, resources, and deliverables for AI model training workflows.

Key facts

Hard skills

Other skills

  • Data Reporting
  • Analytical Skills
  • Problem Solving
  • Organizational Skills
  • Communication
  • Collaboration

About the company

ParallelDots logo

ParallelDots

  • Scaleup
  • 51–200
ParallelDots is a leading image recognition solution provider for FMCG companies and retailers globally, helping them optimize their in-store execution and maximize their sales. ParallelDots has a proven model to deliver higher ROI than other retail Image Recognition solutions owing to its superior technology that is fast to set up and affordable to scale. More information on why ParallelDots is better than other solutions is available here - https://www.paralleldots.com/technology
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Job description

  About the Role:
 We are seeking a technically skilled Data Analyst capable of driving AI model training initiatives and managing project related workflows. The ideal candidate should combine analytical rigor with project management skills to oversee model development, track progress, and ensure high-quality outputs.
Key Responsibilities:
  • Collect, clean, and analyze large datasets to support model training and validation.
  • Initiate, configure, and monitor AI model training pipelines.
  • Collaborate with data scientists, ML engineers, and project teams to define and refine training objectives.
  • Manage project timelines, resources, and deliverables for AI model training workflows.
  • Evaluate model performance metrics, create comprehensive reports, and recommend optimization strategies.
  • Maintain data documentation, training logs, and compliance records.
  • Identify automation opportunities to enhance data preprocessing and model training efficiency.
Qualifications:
  • Bachelor’s or master’s degree in computer science, Data Science, IT, Engineering, or a related technical discipline.
  • 2+ years of experience in data analysis or analytics project management.
  • Understanding of model evaluation techniques and data pipeline orchestration.
  • Strong analytical, problem-solving, and organizational skills.
  • Excellent communication and cross-functional collaboration abilities.
Employment Type: Full-time

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