World Wide Technology Is Hiring 2023 For Data Analyst (Night Shift), World Wide Technology Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelor’s Degree. If you are interested, Please apply as soon as possible.
Company Name: World Wide Technology
Role: Data Analyst (Night Shift)
Location: Work From Home
Experience: 2-5 Years
Qualification: Bachelor’s Degree
Batch: Any Batch
Job Type: Full Time
Salary: Best in Industry
World Wide Technology Is Hiring 2023
- Work with multiple cross-functional teams to create and provide analysis
- Assist the services organization with various analysis
- Utilize tools/applications to gather inputs required to perform analysis
- Work with management on ad-hoc analysis and reporting requests
- Updating, creating, and supporting databases and reports with key metrics to guide strategic decisions
- Identifying and gathering relevant and quality data sources to address problems and recommending strategy through testing or exploratory data analysis (EDA)
- Integrating and transforming disparate data sources
- Creating dashboards and handling data requests from the business
- Collaborate with team members to collect, review, and analyze data
- Use graphs, infographics and other methods to visualize data
- 2-5 years of Data Analyst or Financial experience required
- Bachelor’s Degree in Finance, Business, IT, or related field or equivalent experience
- Advanced Skills in MS Office applications specifically Excel, but including Word, and Outlook
- Understanding of financial and business processes; ability to understand, analyze and create financial and metrics based reports
- Understanding of IT services business
- Ability to work independently, proactive, self motivator
- Excellent documentation skills and attention to detail
- Ability to effectively communicate well (written, verbal, and presentation)
- Knowledge of Salesforce, Tableau, and MULE
- Expertise with charting and other data visualization techniques
- Experience in data analytics and statistics skills
- Ability to summarize key findings
- Ability to set and meet deadlines
- Ability to work in high-pressure situations
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