Organization: Infinit-O
Location: Gurgaon, Haryana, India
About Infinit-O: As a top business process optimisation solutions provider, we partner with the world’s fastest-growing companies in financial services, healthcare, and technology, offering data-driven solutions and providing strategic advantage.Our company specialises in business process optimisation for 18 years now, with a world-class Net Promoter Score of 71, delivering powerful technology and high-performance teams within our highly engaged and agile culture.
Table of Contents |
| 1. Job Details |
| 2. Eligibility |
| 3. Responsibilities |
| 4. Official Advertisement Link |
Job Details |
|
|---|---|
| Job Source | offline |
| Organization | Infinit-O |
| Job Location | Gurgaon, Haryana, India |
| Similar Jobs | https://shorturl.at/v1VUd |
Eligibility
- Python: Proficiency in data manipulation libraries such as Pandas and NumPy and experience with data visualisation libraries like Matplotlib or Seaborn.
- SQL: Strong knowledge of SQL for querying databases, ooptimisingqueries, and managing database structures.
- Power BI: Expertise in creating and managing interactive dashboards and reports.
- Data Analysis: Strong analytical skills with the ability to analyse complex data sets and generate insights.
- Data: Ability to present data in a clear and compelling manner using visualisation tools.
- Problem-Solving: Excellent problem-solving skills and attention to detail.
- Communication: Strong verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
- Proven experience as a data analyst or similar role.
- Experience with data warehousing concepts and technologies is a plus.
- Familiarity with additional analytics tools and programming languages is a bonus
Responsibilities
- Collect, analyze, and interpret large datasets to identify patterns and trends.
- Develop and maintain SQL queries to extract and manipulate data.
- Create interactive and visually appealing reports and dashboards using Power BI.
- Collaborate with business stakeholders to understand their data needs and provide insights.
- Perform data cleaning, transformation, and validation to ensure data accuracy.
- Develop and implement data models and analytics solutions.
- Utilize Python for data manipulation, analysis, and automation of repetitive tasks.
- Present findings and recommendations to senior management and other stakeholders.