Data Science Analyst

About the Role:

Data Science Analyst

Key Responsibilities:

• Collect, clean, and analyze

  structured and unstructured datasets

  to support business objectives.
• Develop and implement

  statistical models, predictive models, and machine learning algorithms

  to solve business problems.
• Collaborate with business stakeholders to

  translate requirements into analytical solutions

  .
• Perform

  exploratory data analysis (EDA)

  to identify trends, correlations, and anomalies.
• Build

  data dashboards, reports, and visualizations

  to communicate insights effectively to non-technical audiences.
• Assist in the

  development of data pipelines

  and integration of analytical tools into business processes.
• Conduct

  A/B testing, hypothesis testing, and other statistical experiments

  .
• Ensure

  data quality, accuracy, and consistency

  across multiple sources.
• Stay up to date with emerging tools, technologies, and methodologies in

  data analytics and data science

  .

Required Skills & Qualifications:

• Bachelors or Master’s degree

  in Statistics, Mathematics, Computer Science, Data Science, or related field.

• 2–6+ years

  of experience in data analysis, business intelligence, or data science roles.
• Strong proficiency in

  programming languages

  such as

  Python, R, or SQL

  .
• Experience with

  data visualization tools

  like

  Tableau, Power BI, Looker, or Matplotlib/Seaborn

  .
• Solid understanding of

  statistics, probability, regression, and predictive modeling

  .
• Knowledge of

  machine learning algorithms

  (supervised and unsupervised learning).
• Experience with

  data wrangling, ETL, and working with large datasets

  .