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Title
Text copied to clipboard!Text Analyst
Description
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We are looking for a Text Analyst to join our data analytics team and help us derive meaningful insights from large volumes of textual data. As a Text Analyst, you will be responsible for processing, analyzing, and interpreting unstructured text data from various sources such as customer feedback, social media, product reviews, and internal documents. Your work will support strategic decision-making, improve customer experience, and enhance product development.
The ideal candidate will have a strong background in linguistics, data science, or a related field, and be proficient in natural language processing (NLP) techniques and tools. You should be comfortable working with large datasets, using programming languages such as Python or R, and applying machine learning models to extract patterns and trends from text.
In this role, you will collaborate with cross-functional teams including marketing, product development, customer service, and business intelligence. You will be expected to communicate your findings clearly and effectively to both technical and non-technical stakeholders. Your ability to translate complex data into actionable insights will be key to your success.
Key responsibilities include text preprocessing, sentiment analysis, topic modeling, keyword extraction, and building dashboards or reports to visualize findings. You will also contribute to the development of automated systems for real-time text analysis and help maintain data quality and integrity.
This is an exciting opportunity for someone who is passionate about language, data, and technology, and who wants to make a tangible impact on business outcomes through text analytics.
Responsibilities
Text copied to clipboard!- Analyze large volumes of unstructured text data
- Perform text preprocessing and cleaning
- Conduct sentiment analysis and topic modeling
- Develop and apply NLP models and algorithms
- Collaborate with cross-functional teams to understand data needs
- Create visualizations and reports to present findings
- Maintain data quality and integrity
- Automate text analysis workflows
- Monitor trends and patterns in textual data
- Support strategic decision-making with data-driven insights
Requirements
Text copied to clipboard!- Bachelor’s or Master’s degree in Data Science, Linguistics, Computer Science, or related field
- Proficiency in Python, R, or similar programming languages
- Experience with NLP libraries such as NLTK, spaCy, or Gensim
- Strong analytical and problem-solving skills
- Familiarity with machine learning techniques
- Ability to work with large datasets
- Excellent written and verbal communication skills
- Experience with data visualization tools like Tableau or Power BI
- Knowledge of SQL and data querying
- Attention to detail and commitment to data accuracy
Potential interview questions
Text copied to clipboard!- What experience do you have with natural language processing?
- Can you describe a project where you analyzed text data?
- Which programming languages and tools are you most comfortable with?
- How do you ensure data quality in your analyses?
- Have you worked with sentiment analysis or topic modeling before?
- How do you communicate complex findings to non-technical stakeholders?
- What challenges have you faced in text analytics and how did you overcome them?
- Are you familiar with any data visualization tools?
- How do you stay updated with the latest trends in NLP?
- What industries have you worked in previously?
