518 | Data Analyst

Intetics Inc., an American global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Junior/Middle Data Analyst to join our dynamic team.

You'll work with the data science team supports Client’s business analysts and deal teams by conducting research and analysis, presented through detailed case studies in PowerPoint format. Utilizing their proprietary tool, they scrape and analyze customer and employee feedback from online sources, performing sentiment analysis to enhance understanding of customer satisfaction and related insights. This tool generates approximately two dozen tables and graphs to effectively visualize the data.

Team responsibilities include managing VOTC workflows, ensuring their smooth operation, and crafting comprehensive case studies for business analyst teams. Collaboration with analysts ensures alignment on specific insights sought, often leading to iterative refinements and additional data segmentation based on factors like geography. When needed, the team conducts supplementary research beyond VOTC’s capabilities to meet analyst requirements, aiming to fulfill their needs effectively.

Responsibilities:

• Provides research and analysis to the business analysts and deal teams within Client.
• The results of research and analysis are presented in the form of PowerPoint presentations including tables, graphs, and explanatory commentary.
• To gather the data and create the visualizations using proprietary platform (PRODUCT), that scrapes different types of information from internet sources and performs sentiment analysis. It also creates about two dozen tables and graphs to quantify and visualize the data.
• Specifying and initiating the technical workflows of PRODUCT, making sure they run properly, and then creating the case study.
• Close communication and cooperation with senior data scientists and business analyst teams.
• In some cases, the business analyst teams may ask for additional research work that is not covered by PRODUCT. The data science team tries to accommodate this as much as possible.

• Python coding skills.
• Understanding of Data Analysis, covering EDA, model training/testing, hyperparameter tuning etc.
• Understanding of NLP (Natural Language Processing).
• Understanding of Machine Learning.
• Basic experience with data visualization tools like Power BI, Tableau.
• Experience with SQL and Databases.
• Clear and precise verbal and written communication.
• English: Upper-Intermediate, better Advanced.

Nice-to-have:

• Experience with frameworks/libraries such as scikit-learn and pandas.
• Knowledge of NLP foundations, including vectorization methods. Application of pre-trained models such as BERT, and fine-tuning of such models. 
• Experience with NLP libraries like NLTK, SpaCy, and scikit-learn.
• Machine learning foundations: Standard techniques in supervised learning, including ensemble methods for classification and regression.
• SQL expertise, and familiarity with MySQL, MongoDB, etc.
• Expertise in standard BI tooling: creating new charts, custom columns.
• MS Office: Creation of professional PowerPoint slides.
• Broad analytical skills: Formulating and interpreting graphical information, especially with time series data.
• Ability to concisely synthesize insights from complex analytical results. 
• Attention to detail: Particular focus on data validation and quality assurance.