Data Analyst
Found in: Talent IN 2A C2 - 2 weeks ago
Job Description:
Summary:
The Data Analyst will play a crucial role in collecting, analyzing, and interpreting data to inform business decision-making. The ideal candidate will have a strong proficiency in SQL and Power BI, enabling them to extract, transform, and visualize data effectively. This role requires a keen analytical mindset, attention to detail, and the ability to communicate findings to both technical and non-technical stakeholders.
Responsibilities:
1. Data Extraction and Transformation:
- Write and optimize SQL queries to extract data from various databases.
- Clean, transform, and preprocess raw data to ensure accuracy and reliability.
2. Data Analysis:
- Analyze large datasets to identify trends, patterns, and insights.
- Develop and implement statistical models for predictive and prescriptive analysis.
3. Data Visualization:
- Create visually appealing and insightful reports and dashboards using Power BI.
- Present complex data in a clear and understandable manner for stakeholders.
4. Quality Assurance:
- Ensure data integrity and quality by implementing data validation and cleansing processes.
- Collaborate with IT teams to troubleshoot data-related issues.
5. Collaboration:
- Work closely with cross-functional teams to understand business requirements and objectives.
- Collaborate with data engineers and other analysts to streamline data processes.
6. Continuous Improvement:
- Stay current with industry trends, emerging technologies, and best practices in data analysis.
- Propose and implement improvements to data analysis processes and tools.
7. Documentation:
- Document data analysis processes, methodologies, and findings for future reference.
- Create user guides and documentation for reports and dashboards.
Qualifications:
- Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Information Systems).
- Proven experience as a Data Analyst with expertise in SQL and Power BI.
- Strong analytical and problem-solving skills.
- Familiarity with data modeling and database design principles.
- Excellent communication skills to convey complex findings to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a team environment.
- Detail-oriented with a commitment to producing high-quality, accurate work.
Preferred Skills:
- Experience with other data visualization tools (e.g., Tableau, QlikView).
- Programming skills in languages such as Python or R.
- Knowledge of data warehousing concepts and ETL processes.
This job description serves as a general guideline and is subject to change based on the evolving needs of the organization.
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