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Junior Project Analyst

ParallelDots

Role overview

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, Business Administration, or related field preferred.
  • 1–2 years of experience in project coordination, operations, QC, data operations, or AI/data-related workflows.
  • Intermediate Excel proficiency required; Advanced preferred, including Pivot Tables, VLOOKUP/XLOOKUP, and Power Query.
  • Familiarity with ClickUp, JIRA, or similar project management tools.

Responsibilities

  • Coordinate day-to-day activities related to AI model training, data annotation, QC, and data delivery workflows, ensuring timely and accurate execution.
  • Support data collection, analysis, validation, and quality checks to meet project and training requirements.
  • Act as the first-level point of contact for tagger queries, provide process guidance, and escalate complex issues or blockers appropriately.
  • Proactively monitor workflows and team activities to identify and flag errors, inconsistencies, process deviations, and potential blockers early.

Key facts

Hard skills

Other skills

  • Quality Control
  • Microsoft Excel
  • Communication
  • Problem Solving
  • Detail Oriented
  • Multitasking

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 Junior Project Analyst to support AI model training initiatives and manage project-related data and operational workflows. The ideal candidate should combine analytical and project coordination skills to track workflows, monitor data quality, coordinate with cross-functional teams, and ensure timely and accurate project execution.   Key Responsibilities
  • Coordinate day-to-day activities related to AI model training, data annotation, QC, and data delivery workflows, ensuring timely and accurate execution.
  • Support data collection, analysis, validation, and quality checks to meet project and training requirements.
  • Act as the first-level point of contact for tagger queries, provide process guidance, and escalate complex issues or blockers appropriately.
  • Proactively monitor workflows and team activities to identify and flag errors, inconsistencies, process deviations, and potential blockers early.
  • Coordinate with Team Leads and cross-functional teams including Project Management, Data Science, Data Ops, and QC to ensure smooth workflow execution.
  • Track project timelines, milestones, deliverables, task progress, dependencies, and pending actions across multiple projects.
  • Prepare and maintain Excel-based reports, trackers, dashboards, and MIS using Pivot Tables, VLOOKUP/XLOOKUP, IF functions, filters, conditional formatting, and Power Query.
  • Use ClickUp, JIRA, or similar tools for task management, status updates, workflow tracking, and documentation.
  • Support tagger onboarding, training, process clarification, performance tracking, and operational continuity during TL absence or delegation.
  • Prepare daily/consolidated project reports, maintain operational documentation, and perform benchmarking/analysis as required.
  • Identify recurring issues and process inefficiencies and support continuous improvement initiatives.
  • Communicate effectively with stakeholders to gather requirements, resolve queries, provide updates, and ensure alignment.
  • Strong observational and attention-to-detail skills
Skills & Qualifications
  • Bachelor’s degree in Engineering, Computer Science, Business Administration, or related field preferred.
  • 1–2 years of experience in project coordination, operations, QC, data operations, or AI/data-related workflows.
  • Intermediate Excel proficiency required; Advanced preferred, including Pivot Tables, VLOOKUP/XLOOKUP, and Power Query.
  • Familiarity with ClickUp, JIRA, or similar project management tools.
  • Strong analytical, problem-solving, organizational, and multitasking skills with high attention to detail.
  • Good written and verbal communication skills with the ability to coordinate across teams and handle operational queries.
  • Ability to identify issues proactively, maintain quality, prioritize tasks, and meet deadlines.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.
  • Willingness and ability to quickly learn AI workflows, tools, processes, and project requirements.

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