Walmart Off Campus Drive 2023 for Data Analyst, Walmart Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, cadndiates should have degree in Bachelor’s/Master’s Degree. If you are interested, Please apply as soon as possible.
✅Company Name: Walmart
✅Role: Data Analyst
✅Location: Work From Home
✅Experience: Freshers
✅Qualification: Bachelor’s/Master’s Degree
✅Batch: Any Batch
✅Job Type: Work From HOme
✅Salary: Best in Industry
Walmart Off Campus Drive 2023
Job Description:
- Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.
- Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness.
- Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.
- Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.
Minimum Qualifications:
- Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 3 years’ experience in data analysis, data science, statistics, or related field.
- Master’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 1 year’s experience in data analysis, data science, statistics, or related field.
- 5 years’ experience in data analysis, data science, statistics, or related field.
Requirements:
- Bachelors in Engineering, Math, Statistics, or related discipline or an MBA from a reputed institute
- 10-14 Years of core Analytics experience
- Good to have experience in the following:
- Ecommerce domain.
- Top tier consulting company
- Usage of data engineering tools and solutions
What You’ll Bring:
- Strong analytical acumen with technical expertise in data mining, machine learning, statistical analysis and deep learning
- Expert in SQL, R and Python. Experience using machine learning and deep learning libraries .
- Experience in using data visualisation tools like Tableau and Looker and be able to drive powerful insights.
- Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, and/or Spark)
- Good knowledge on deploying models into production
- Experience in operating from a cloud environment such as Google Could Platform or Microsoft Azure.
- Ability to work in a fast-paced, iterative development environment.
- Strong communication skills, both written and verbal, plus ability to work with cross functional teams of technical and non-technical members.
- Strong ability to understand the business and have good stakeholder management capabilities.
- Experience of working in cross-functional environment and leading or mentoring teams
Responsibility:
- Manage and Lead analytics projects and initiatives across areas in Marketplace
- Lead associates in developing analytical solutions and models
- Be a thought leader in understanding of the core problems . Plus lead and mentor associates to synthesise, understand and build relevant analytics based solutions
- Develop good understanding of data sources, metadata and quickly zero in on the most appropriate data relevant for a problem.
- Build complex data sets from multiple data sources, both internal and external
- Lead in development of advanced methods leveraging MLs via R and Python while sourcing data from cloud environments. Design, build and implement ML models within GCP, Azure and Hive environments
- Develop business intelligence tools using various platforms
- Work closely with Senior Analytics, Product and Business leadership as required
- Communicate insights to business & other stakeholders with careful attention to detail, high quality along with effective storytelling
To Apply: Click Here
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