Levi Strauss & Co is hiring for Data Analyst Candidates who Have Bachelor degree in Computer Science, Statistics, Mathematics, Economics, or related field are eligibile to apply. Eligibility criteria and apply process given below :
Eligibility criteria and apply process given below :
Job Description :
Data Collection and Exploration :
- Collecting and tidying up information from various places such as sales records, customer interactions, and inventory logs.
- Investigating and presenting data visually to spot patterns, trends, and connections that offer useful insights.
Predictive Modelling and Forecasting:
- Creating and putting into action smart computer programs that predict future sales, customer needs, and stock levels.
- Designing models that help figure out the best prices for products, recognize different groups of customers, and make marketing efforts more personal.
- Checking how well these models work and making them better over time by testing and tweaking them to be more accurate and faster.
Customer Analytics and Personalization:
- Studying information about how customers behave to grasp what they like, how they buy, and how valuable they are over time.
- Setting up systems that suggest products and tailor marketing approaches to each customer, making them more involved and committed.
Role Details :
Company Name: Levi Strauss & Co
Role: Data Analyst
Location: Bangalore
Qualification: Bachelor degree in Computer Science, Statistics, Mathematics, Economics, or related field.
Experience: Freshers
Batch: 2020/2021/2022/2023
Salary: ₹ 3 to ₹ 5 LPA (Expected)
Requirements :
- Completed a Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related area.
- Demonstrated experience as a Data Analyst, Data Scientist, or similar position, preferably within the retail sector.
- Proficiency in programming languages like Python or R, along with knowledge of tools and libraries for data analysis and machine learning.
- Bonus points for familiarity with big data technologies and Cloud platforms such as GCP, AWS, Hadoop, and Spark.
- Thorough understanding of statistical methods, machine learning algorithms, and data mining techniques.
- Strong problem-solving abilities and keen attention to detail.
- Effective communication and teamwork skills, essential for collaborating with colleagues.
- Enthusiasm for continuous learning and keeping abreast of the latest developments in data science and analytics.
How to apply :
- Click the “Apply here” button below to initiate the application process.
- You will be directed to the official career page upon clicking.
- Click on the “Apply” button to start the application.
- If not registered, create an account to proceed.
- After registration, log in using your credentials.
- Complete the application form with accurate and necessary details.
- Submit all requested documents, such as resumes, mark sheets, and ID proof.
- Ensure all entered details are correct during the verification process.
- Submit the application form after thorough verification.
Follow these steps diligently to successfully apply for the Off-Campus Drive.
