Data Analyst/Scientist

Qualifications

• Minimum of Bachelor's degree in Data Analytics, Data Science, Computer Science, or a related field.

• 3-5 years of experience as a Data Analyst, Data Scientist, or similar role, solving complex analytical problems with large datasets in a data-driven environment.

• Proficiency with data visualization tools such as Power BI, Tableau, or D3.js, including report creation, data modeling, and DAX.

• Strong analytical skills, attention to detail, and proven experience gathering and documenting business requirements.

• Knowledge of Agile methodologies and experience using Azure DevOps (Boards, Pipelines, etc.).

• Excellent communication, interpersonal, and stakeholder management skills, with the ability to clearly articulate ideas and present findings.

• Strong collaboration, influencing, and listening skills; ability to work effectively as part of a small team and contribute to strategic goals.

• Experience with Salesforce data and reporting is a plus.

• Experience in business services or the manufacturing industry is a plus.

• Strong programming skills in Python, R, and advanced SQL.

• Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras, and knowledge of machine learning evaluation metrics and best practices is a plus.

• Understanding of statistical methods and probability theory.

• Skills in data wrangling, cleaning, and organizing data.

• Familiarity with NLP and deep learning techniques is a plus.

• Experience working in an Agile environment supporting applied research and data science projects.

• Business acumen with the ability to translate business problems into data science solutions.