These are a series of posts that can assist beginners who are eager to dive into the “data platform” or professionals who are considering a career in analytics. I’ll do my best to provide as much information as possible. Please see previous posts that discussed the most in-demand job roles by clicking here.
In this post, we will define “Logistics Data analyst,” what it takes to become one, and what logistics data analysts can expect to earn. Please keep in mind that in some companies, the job title and nature of work do not match; therefore, carefully review the job criteria. Please keep in mind that the average salary is based on hundreds of job postings and various web sources such as ZipRecruiter, PayScale, and so on. Salary is also determined by experience.
Logistics Data Analyst:
A logistics analyst is in charge of overseeing a product’s entire life cycle, which includes purchasing, distribution, internal allotment, release, and final clearance of resources. The Logistics Data Analyst, on the other hand, will assist network optimization efforts by developing and maintaining optimization tools to drive key business decisions and identify improvement opportunities in the existing logistics network. In addition, the Logistics Data Analyst will analyze the impact of business changes and provide analytical support as needed.
Data analysis is critical in business; most business decisions are based on an analysis of generated or available digital data, logistics data, marketing, and so on. And the job of a data analyst is nearly identical in any of the specified domains. In order to complete the task, they must be familiar with data analysis tools and techniques.
They should be able to build data models, query data across multiple SQL databases, and perform rigorous quantitative analysis. They also should create data visualizations based on the needs of various stakeholders such as operations, finance, and other non-logistics business units. Most logistic data analysts, like other data analysts, work closely with members of the operations team to define, measure, and track key performance indicators, measuring operational performance and outcomes.
Refer to the following job-responsibilities of a logical data analyst:
- Advanced knowledge of Microsoft Office applications, including Excel (e.g., V-Lookup, pivot tables); written and verbal communication skills; and strong analytical abilities are required.
Analyze large, complex data sets using a variety of software and tools - Understanding of network optimization methodology and experience with network modeling software.
- A logistics data analyst may be required to create reports stating trends, patterns, and predictions using relevant data; the tools to be used are Power BI, SSRS, and so on.
- A proactive review of existing processes, reporting, and analysis is expected of a logistics data analyst.
- A logistics analyst is expected to develop and implement a strategy based on company objectives and guidelines, with pre-aligned KPIs in a few companies.
Although this is not an exhaustive list, and not all of them are required by a company, the bulk of job requirements are based on the above-mentioned list. Let’s have a look at the skills that a digital-analyst must possess in order to be considered for the aforesaid position.
Platform: Mostly Windows
Databases: SQL Products (MySQL, Oracle SQL*Plus, Microsoft SQL Server, PostgreSQL, Teradata, DB2, or Microsoft Access)
Analytical & Reporting Packages: Business Objects, SSRS, Power-BI, Tableau, Power BI, and Excel
Statistical Tools: R & Microsoft Excel.
Salary Range: $53,000 – $65,000 (Per Year – US), 10,000 – 22,000 (Per Month – Dubai), 25,000-60,000 (Per Month – India)
Most companies do not require logistics data analysts to have all of the above skill sets because logistics analysts only need to analyze the data that is being generated by online web-portals or existing logistics applications. Data analysts must be familiar with Microsoft Excel in order to create charts, pivot tables, and reports. In a few companies, the logistics analyst must not only perform analysis but also create reports using SSRS, Power-BI, Tableu, QlikView or other visualization tools. As a result, the requirements and skill set may differ from one company to the next.
Please keep reading the subsequent posts.
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Big Data and SQL 