Job Title: Data Analyst

**Overview:**
As a Data Analyst, you will play a crucial role in extracting actionable insights from various datasets to inform business decision-making. You will be responsible for collecting, processing, and analyzing data, as well as presenting findings in a clear and concise manner. The role requires a strong analytical mindset, attention to detail, and proficiency in data manipulation and visualization tools.

**Responsibilities:**

1. **Data Collection and Processing:**
   - Gather and clean large datasets from diverse sources.
   - Collaborate with data engineers to ensure data accuracy and integrity.
   - Develop and implement data cleaning and validation processes.

2. **Data Analysis:**
   - Conduct exploratory data analysis to identify trends, patterns, and anomalies.
   - Utilize statistical methods to extract meaningful insights from data.
   - Perform quantitative and qualitative analysis to answer specific business questions.

3. **Data Visualization:**
   - Create visualizations (charts, graphs, dashboards) to communicate findings effectively.
   - Use tools such as Tableau, Power BI, or other visualization platforms.
   - Present complex data insights in a clear and understandable manner to non-technical stakeholders.

4. **Reporting:**
   - Generate regular reports on key performance indicators (KPIs) and other relevant metrics.
   - Provide insights and recommendations based on data analysis.
   - Collaborate with cross-functional teams to ensure data-driven decision-making.

5. **Predictive Modeling:**
   - Develop and implement predictive models to forecast trends and outcomes.
   - Evaluate model performance and refine as needed.
   - Stay updated on industry best practices in predictive analytics.

6. **Data Management:**
   - Organize and maintain databases for efficient data retrieval and analysis.
   - Implement data governance and security measures to protect sensitive information.

7. **Continuous Improvement:**
   - Stay current with advancements in data analysis tools and techniques.
   - Proactively identify opportunities to enhance data processes and analysis methodologies.
   - Contribute to the development and improvement of data analytics frameworks.

**Qualifications:**

- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Data Science).
- Proven experience as a Data Analyst or in a similar role.
- Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
- Strong understanding of statistical concepts and methodologies.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent problem-solving and critical-thinking skills.
- Strong communication skills to convey complex findings to both technical and non-technical audiences.
- Attention to detail and a commitment to producing accurate and reliable analyses.

**Preferred:**

- Industry-specific knowledge (e.g., finance, healthcare, e-commerce).
- Familiarity with machine learning concepts and algorithms.
- Experience working with big data technologies (e.g., Hadoop, Spark).

This job description serves as a general guide and may be adjusted based on the specific needs and requirements of the organization.

Interested candidates can apply on

sangeo.george@white-force.in

9303447007