26 days ago

Data Operations Analyst

NielsenIQ

Hybrid
Full Time
$60,000
Hybrid
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Job Overview

Job TitleData Operations Analyst
Job TypeFull Time
Offered Salary$60,000
LocationHybrid

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Job Description

About the Job

Execute and maintain operational instructions for generating service information under direct and permanent supervision.

Responsibilities

  • Execute scheduled activities daily.
  • Report production errors.
  • Maintain a record of activities performed.
  • Operate processes in accordance with established instructions and guidelines.
  • Follow established training.
  • Adhere to the management model defined by operations.
  • Requires a high supervision model.
  • Data and information analysis (report generation).

Qualifications

About You:

Highly motivated, self-directed, proactive, and possess an impelling personality capable of working within tight deadlines. Resourceful, inquisitive, and enthusiastic about new technologies. Generates ideas to improve, do things differently, passionate about being part of a high-performance team, and willing to support special projects or initiatives as needed.

Requirements:

  • Full technical career or full bachelor's degree or in process in the last semesters in economic-administrative, engineering, and IT careers.
  • Minimum 6 months of experience: Data and information analysis.
  • Intermediate-Advanced English (conversational).
  • Proficiency in Office (Intermediate Excel).
  • Basic programming notions (desirable).

Key skills/competency

  • Data Analysis
  • Report Generation
  • Operational Instructions
  • Production Error Reporting
  • Activity Logging
  • Process Operation
  • Excel
  • Programming Notions
  • Data Management
  • Problem Solving

Tags:

Data Analyst
Operations Analyst
Data Operations
Data Analysis
Report Generation
Excel
English
NielsenIQ
Entry Level
IT

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How to Get Hired at NielsenIQ

  • Tailor your resume: Highlight your data analysis, Excel, and English skills, matching them to the job description.
  • Showcase your proactivity: Emphasize your motivation, self-direction, and enthusiasm for new technologies.
  • Prepare for data analysis questions: Be ready to discuss your experience with data interpretation and report generation.
  • Demonstrate English fluency: Be confident in your conversational English skills during the interview.
  • Highlight technical aptitude: Mention any basic programming knowledge you possess.

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