Lotus Interworks Hiring Drive 2024: Lotus Interworks Hiring Drive 2024 for its Data Analyst. Lotus Interworks Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. if you are interested, please apply as soon as possible.
Company Name: Lotus Interworks
Role: Data Analyst
Location: Remote
Experience: 1-3 Years
Qualification: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Lotus Interworks Hiring Drive 2024
Job Description:
- We are seeking a meticulous and detail-oriented Data Analyst who is proficient in Excel and passionate about deriving actionable insights from data.
- As a Data Analyst, you will play a crucial role in collecting, analyzing, and interpreting complex datasets to inform strategic decisions and optimize business processes.
Requirements:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
- Strong proficiency in Microsoft Excel, including advanced functions and pivot tables.
- Proficiency in SQL for data manipulation and extraction.
- Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio is a plus.
- Excellent analytical skills with a keen attention to detail.
- Strong problem-solving and critical-thinking abilities.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication and interpersonal skills.
- Prior experience in data analysis or a related field is preferred.
Responsibility:
- Collect, clean, and organize large datasets from various sources.
- Perform in-depth data analysis using Excel, SQL, and other analytical tools to identify trends, patterns, and anomalies.
- Develop and maintain automated reports and dashboards to track key performance indicators (KPIs) and metrics.
- Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations.
- Conduct ad-hoc analysis to address specific business questions or challenges.
- Ensure data accuracy, consistency, and integrity by following established processes and best practices.
- Stay updated on industry trends, emerging technologies, and best practices in data analysis.
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