Data Analytics and DAta Science Trainer-Kerala and Tamil nadu (Clone)

1. Data Analyst Job Description

Job Title: Data Analyst

Role Overview: A Data Analyst collects, processes, and performs statistical analyses of data to help organizations make data-driven decisions. They focus on identifying trends, creating reports, and assisting in strategic planning.

Key Responsibilities:

Collect and interpret data from various sources (databases, web analytics, etc.).

Clean and validate data to ensure accuracy, completeness, and consistency.

Analyze data using statistical techniques and provide reports.

Develop dashboards, visualizations, and metrics to communicate data insights.

Work with cross-functional teams to identify and recommend process improvements.

Monitor and maintain data quality, troubleshoot data discrepancies.

Prepare data-driven recommendations to support business decisions.

Required Skills:

Proficiency in data visualization tools (e.g., Tableau, Power BI).

Strong analytical skills with experience in statistical software (e.g., Excel, SQL, Python, R).

Knowledge of data cleaning and transformation techniques.

Strong attention to detail and ability to handle large datasets.

Excellent communication skills to present findings to stakeholders.

Qualifications:

Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

Experience with data analysis or similar role.

Familiarity with database management and query languages like SQL.

1. Data Scientist Job Description

Job Title: Data Scientist

Role Overview: A Data Scientist uses advanced analytical, statistical, and machine learning techniques to explore large data sets, build predictive models, and provide insights that drive strategic decisions.

Key Responsibilities:

Develop predictive models and machine learning algorithms to solve complex business problems.

Analyze large amounts of information to discover trends, patterns, and actionable insights.

Use statistical and data modeling techniques to identify business opportunities and risks.

Design and conduct experiments to validate model performance.

Collaborate with data engineers, analysts, and business stakeholders to define data requirements.

Communicate results and insights through reports, visualizations, and presentations.

Required Skills:

Proficiency in programming languages like Python, R, and SQL.

Expertise in machine learning techniques, data mining, and statistical modeling.

Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI).

Strong problem-solving skills and ability to translate business needs into data-driven solutions.

Experience with big data tools (e.g., Hadoop, Spark) is a plus.