Customer Review Classifier – Sentiment Analysis Role

🏢 abrdn plc📍 Aberdeen, Scotland, UK💼 Full-Time💻 On-site🏭 Financial Services💰 25000-35000 per year

About the Company

abrdn plc is a global investment company dedicated to helping clients plan, save, and invest for their future. With a heritage spanning generations, we manage assets across a wide range of capabilities, from equities and fixed income to real estate and alternative investments. Our commitment to innovation and data-driven insights powers our strategies, helping millions achieve their financial goals.

Job Description

We are seeking a meticulous and analytical Customer Review Classifier to join our dynamic team in Aberdeen. In this critical role, you will be responsible for accurately categorizing and analyzing customer feedback to extract sentiment and key insights. Your work will directly inform product development, customer service improvements, and strategic decision-making across the company. This is an excellent opportunity for a detail-oriented individual with a keen interest in data analysis and understanding customer voice.

Key Responsibilities

  • Classify customer reviews and feedback into predefined categories based on product, service, and topic.
  • Accurately assign sentiment scores (positive, negative, neutral) to textual feedback.
  • Identify recurring themes, trends, and emerging issues from customer data.
  • Maintain high levels of accuracy and consistency in classification tasks.
  • Collaborate with data analysts and product teams to refine classification guidelines and improve sentiment analysis models.
  • Provide regular reports on customer feedback trends and insights.

Required Skills

  • Strong analytical and critical thinking skills.
  • Exceptional attention to detail and accuracy.
  • Ability to interpret and understand nuanced language.
  • Proficiency in using classification tools or platforms.
  • Excellent written and verbal communication skills.
  • Basic understanding of sentiment analysis concepts.

Preferred Qualifications

  • Experience with large datasets or text analysis tools.
  • Familiarity with financial services terminology.
  • A degree or coursework in Linguistics, English, Communications, Data Science, or a related field.
  • Experience in a customer service or customer experience role.

Perks & Benefits

  • Competitive annual salary and performance-based bonuses.
  • Comprehensive health and wellness programs.
  • Generous pension scheme with company contributions.
  • Opportunities for professional development and career growth.
  • Employee assistance program and mental health support.
  • Discounted financial products and services.
  • On-site gym and cafeteria.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

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