Data Analyst
1 week ago
**JOB TITLE**:Data Analyst
**DESCRIPTION OF BASIC FUNCTIONS AND RESPONSIBILITIES**
Operations analysts' duties revolve around turning data into information, information into insight, and insight into business decisions and improving organizational efficiency and effectiveness. examine many facets of a company's activities, from supply chain management to customer service procedures. such data will help to find areas for possible development
- **Roles and responsibilities**:
- Ensure that data is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions
- Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors
- Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems.
- Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights
- Identify opportunities for process enhancements
- Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes
- Gathering and evaluating operational information.
- Interviewing staff members in across divisions.
- Designing graphic depictions of facts (graphs, charts, etc.).
- Creating ideas for enhancing processes.
- Tracking the effects of put-in-place improvements.
- Collecting and evaluating information from many sources to spot trends, patterns, and areas needing
- the needs of different business units
- **Skills and Qualifications**
- Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
- Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
- Capable of critically evaluating data to derive meaningful, actionable insights.
- Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
- A bachelor's degree in Computer Science, Information Management Systems, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.
- Adept at report writing and presenting findings.
- Ability to work under pressure and meet tight deadlines.
- Strong expertise in on logistics
- Age 30 - 40
- Proficiency in the English language.
Applied practical experience of not less than 5 years in a logistics company
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