Lotus Interworks Hiring Drive 2024 For Data Analyst | Work From Home

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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.


  • 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.


  • 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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