您’我听说过职称“data 分析员” floating around lately and it sounds like an intriguing career. The idea of working with data and technology has piqued your curiosity, but what does a data 分析员 do all day?

It’对工作做白日梦是一回事—and another thing to perform those job duties every day. 您 need all the facts before you choose to pursue a new career. We did the digging to uncover what data 分析员s 真 整天做。继续阅读以发现可能成为您未来职业的一部分的日常工作。

A day in the life of a data 分析员

Generally speaking, a data 分析员 will retrieve and gather data, organize it and use it to reach meaningful conclusions. “Data 分析员s’工作因其所使用的数据类型而异’与（销售，社交媒体，广告资源等）以及特定客户项目进行合作，” says Stephanie Pham, 分析员 for 波特·诺维里.

Companies in nearly every industry can benefit from the work of data 分析员s, from healthcare providers to retail stores to fast food chains. The insights that data 分析员s bring to an organization can be valuable to employers who want to know more about the needs of their consumer or end user.

Regardless of which industry they work in, data 分析员s can expect to spend their time developing systems for collecting data and compiling their findings into reports that can help improve their company.

Analysts can be involved in any part of the analysis process. In a data 分析员 role, you could be included in everything from setting up an analytics system to providing insights based 上 the data you collect—您甚至可能会被要求在您的数据收集系统中培训其他人。

没有 w that you have an idea of what data 分析员s do in general, you’re ready to dig into the specifics of life 上 the job as a data 分析员.

什么 are some common data 分析员 responsibilities?

We enlisted some experts to help you get a sneak peek of the daily duties of a typical data 分析员.

1.制作报告

“As an 分析员, I spend a significant amount of time producing and maintaining both internal and client-facing reports,” says Casey Pearson, marketing 分析员 at 德尔菲数码。这些报告为管理层提供了有关即将出现的新趋势以及公司可能需要改进的领域的见解。

写报告不是’就像将数字扔到空白页上并将其发送给您的经理一样简单。“Successful data 分析员s understand how to create narratives with data,”Porter 没有 velli的分析经理Jess Kendra说。“To remain valuable, the reports, answers and insights that data analysis provides have to be understood by the next decision-maker, who frequently is not an 分析员.”

2.斑点图案

The most effective data 分析员s are able to use data to tell a story. In order to produce a meaningful report, a data 分析员 first has to be able to see important patterns in the data. “在基础级别上，数据用于查找趋势和见解，可用于向客户提出建议，” Pham says.

Reporting in regular increments, such as weekly, monthly or quarterly, is important since it helps an 分析员 notice significant patterns. “它们都为总体时间做出了贡献，在这里我们可以看到随着时间变化的趋势，” Pham adds.

3.与他人合作

惊讶地看到这个清单？这个单词“analyst”可能会让您想到一个与公司其他部门分离的人，但是那’s far from the truth. The wide variety of data 分析员 roles and responsibilities means you’将与您组织中的许多其他部门进行协作，包括营销人员，主管和销售人员。您’我们还可能会与数据科学领域的人员（如数据架构师和数据库开发人员）紧密合作。

能够良好地沟通很重要。“您的成功取决于您与他人合作的能力—您正在从中收集研究问题的人员，与您合作的同事来执行工作以及向您提供最终演示文稿的人员，” Kendra says.

4.收集数据并建立基础架构

Perhaps the most technical aspect of an 分析员’的工作是收集数据本身。皮尔森表示，这通常意味着与Web开发人员一起优化数据收集。

Streamlining this data collection is key for data 分析员s. They work to develop routines that can be automated and easily modified for reuse in other areas. Analysts keep a handful of specialized software and tools in their arsenal to help them accomplish this.

数据分析师与数据科学家

考虑到所有这些，您可能想知道另一个突出的数据角色—数据科学家。虽然它’s safe to assume there is some overlap in the type of work they do, there are significant differences between data 分析员s and data scientists.

Since the role of a data scientist is relatively new and sometimes nebulous, those in the field have worked to define and differentiate it from that of the data 分析员. Let’根据技能和工作职责将其分解。

Data 分析员s:¹

• 具有中等数学和统计能力
• 有较强的商业头脑
• 具有中等计算机科学/编码技能
• 制定关键绩效指标
• 创建数据可视化
• 利用商业智能和分析工具

数据科学家：¹

• 具有较强的数学和统计能力
• 有较强的商业头脑
• 具有较强的计算机科学/编码能力
• 通过机器学习识别趋势
• 根据数据趋势进行预测
• 编写代码以协助数据分析

Though data 分析员s and data scientists have different backgrounds and strengths, keep in mind that these roles can be a little squishy in how they’重新定义。这意味着责任可能会因组织而异。

数据分析的类型

数据分析的核心是回答问题和制定决策。就像有不同类型的问题一样，根据您的需求，也有不同类型的数据分析’重新希望完成。在那里时’对于这些类型的数据分析，没有一成不变的词汇表， ScienceSoft的员工 出色地将这项工作分解为四个主要领域：²

• 描述性分析答案，“What happened?”
• 诊断分析答案，“为什么会发生什么？”
• 预测性分析答案，“可能会发生什么？”
• 规范分析答案，“应该采取什么行动？”

Data 分析员s can tailor their work and solution to fit the scenario. For instance, if a manufacturer is plagued with delays and unplanned stoppages, a diagnostic analytics approach could help identify what exactly is causing these delays. From there, other forms of analysis can be used for fixing these issues.

什么 tools do data 分析员s use?

Data 分析员s rely 上 various tools to collect and make sense of their data. Kendra’的团队使用专门的工具从社交媒体，新闻站点和杂志中高效地收集数据，并使用工具对数据进行排序和分类以可视化该数据以用于报告和演示。

These are some common tools in a data 分析员’s tool belt:

• Microsoft Excel®
• 的SQL
• SAS® software
• 谷歌分析™
• Google跟踪代码管理器
• 画面™
• 谷歌广告关键词™

什么’s in a data 分析员 job description?

All these job duties drill down to 上e main goal for data 分析员s: “通过分析数据，我们希望能吸引客户’根据他们的战略目标开展业务，” Pearson says.

Data that is collected without proper examination is worthless. A data 分析员’真正的工作是为公司增值—他们自己或他们的客户’. “通过使我们收集的数据具有洞察力和易于理解，我们为客户提供了附加价值，以帮助他们为业务做出明智的决策，” Pearson says.

Should you become a data 分析员?

So what does a data 分析员 do? A lot more than you might think. 没有 w that you know the teamwork, technical skills and strategizing that go into this up-and-coming profession, you may be considering a data analysis career yourself.

We’ve covered the basics of the data 分析员 job description, but if you want to dive in deeper, check out our article, “5 Insights 您 Won’t在数据分析师工作描述中查找。”

¹迈向数据科学“模糊线：数据分析师与数据科学，”[信息访问于2019年1月16日] //towardsdatascience.com/blurred-lines-data-analytics-vs-data-science-12ff92a3bd4e
²Sciencesoft， “改善决策能力的4种数据分析类型，”[信息访问于2019年1月16日] //www.scnsoft.com/blog/4-types-of-data-analytics
Google，Google AdWords和Google Analytics（分析）是Google，Inc.的商标。
SAS是SAS Institute，Inc.的注册商标。
画面是Tableau Software的注册商标。
Microsoft Excel是Microsoft，Inc.的注册商标。