Junior Project Analyst

ParallelDots Inc.; United States; Remote; USD 45.000 - 65.000; Vollzeit

Zusammenfassung

ParallelDots Inc. seeks a technically skilled Junior Project Analyst to support AI model training initiatives and manage project data and workflows.

You will coordinate with cross-functional teams to ensure timely and accurate project execution and monitor data quality to meet training requirements. The role requires strong Excel skills, familiarity with project management tools, and excellent communication.

Qualifikationen

• 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 work independently and collaboratively in a fast-paced, dynamic environment.
• Willingness and ability to quickly learn AI workflows, tools, processes, and project requirements.

Aufgaben

• Coordinate day-to-day activities related to AI model training, data annotation, QC, and data delivery workflows.
• 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 elevate 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

Kenntnisse

Excel proficiency

Analytical skills

Project coordination

Data operations

Jira/ClickUp

Attention to detail

Communication

Ausbildung

Bachelor’s degree

Tools

ClickUp

JIRA

Power Query

Pivot Tables

Jobbeschreibung

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 elevate 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.