Key Responsibilities:


Data Collection & Preparation:


Gather data from various sources (e.g., databases, CRM systems, web analytics, market research).
Clean and preprocess data to ensure accuracy and consistency.
Transform data into usable formats for analysis.


Data Analysis & Interpretation:

Conduct data analysis using statistical methods and tools.
Identify trends, patterns, and anomalies in data.
Interpret data and draw meaningful conclusions.
Develop data visualizations (e.g., charts, graphs, dashboards) to communicate findings effectively.


Reporting & Communication:

Prepare reports and presentations summarizing data analysis results.
Communicate findings to stakeholders in a clear and concise manner.
Answer ad-hoc data requests from business users.


Data Modeling & Visualization:

Develop data models to represent business processes and data relationships.
Create interactive dashboards and visualizations to provide insights into key metrics.


Collaboration & Collaboration:

Collaborate with business users to understand their data needs and provide analytical support.
Work closely with IT teams to ensure data quality and availability.


Data Quality Management:

Implement data quality checks and procedures.
Identify and resolve data quality issues.


Tool & Technology Proficiency:

Utilize data analytics tools and technologies (e.g., SQL, R, Python, Tableau, Power BI). Specify the tools used by the organization.
Stay up-to-date with new data analytics tools and techniques.