{"id":1398,"date":"2024-01-01T17:57:44","date_gmt":"2024-01-01T17:57:44","guid":{"rendered":"https:\/\/solutionsreview.com\/expert\/?p=1398"},"modified":"2024-02-02T14:17:49","modified_gmt":"2024-02-02T14:17:49","slug":"make-most-data-analysts-part-1-what-is-a-data-analyst","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/thought-leaders\/make-most-data-analysts-part-1-what-is-a-data-analyst\/","title":{"rendered":"Make the Most of Your Data Analysts Part 1: What is a Data Analyst and Why Should You Care?"},"content":{"rendered":"<p style=\"text-align: justify;\"><span class=\"s1\">Data analysts have many nicknames: \u201cpower user\u201d, \u201cExcel jockey\u201d, \u201cTableau guru\u201d, and \u201cdepartmental analyst.\u201d Some practitioners refer to them as \u201cbusiness analysts\u201d but many organizations use that label to refer to business requirements analysts, so I avoid it. Data scientists are a type of data analyst\u2014with formal training in statistics and machine learning and the ability to write Python or R code. Collectively, data analysts comprise about 8% of employees while data scientists are about 2%, according to our research.<\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\">The job of a data analyst is to answer business questions using data. They are data savvy business resources dedicated to a department head who needs quantitative data to make a range of decisions, from pricing and campaign investments to the cost\/benefits of a merger or how to respond to dips in performance.<\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\">In the past, most data analysts used Excel to query and mashup data and create a report. Today, they are more likely to use Tableau, Power BI, or another visualization tool with built-in data preparation and data science capabilities.<\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\"><i>The job of a data analyst is to answer business questions using data<\/i><\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\">Every department has at least one data analyst. Finance, sales, and marketing generally have small teams of them. Most data analysts sit in a department and report to a department head, but increasingly they reside in a corporate center of excellence where they are aligned with a department. Their hybrid role makes them data experts who specialize in a business domain. <\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\"><b>What Makes a Good Data Analyst?<\/b><\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\">Good data analysts are curious by nature and have a strong desire to explore data and unearth interesting patterns, anomalies, and correlations. Most can write basic SQL and understand basic statistics. Many organizations don\u2019t give data analysts enough free time to explore data in a business domain, which undermines their long-term effectiveness. The more comfortable data analysts become with the data and understand its shortcomings and strengths, the more quickly and effectively they can respond to business requests. <\/span><\/p>\n<p class=\"p3\" style=\"text-align: justify;\"><span class=\"s1\">The best data analysts are strong communicators who are comfortable working with business leaders to understand issues and develop plans to address them. They also know how to present their analyses in language that businesspeople can understand and act on. Unfortunately, many data analysts are introverted by nature and lack adequate communications skills. The most important job of an analytics leader is to teach data analysts how to communicate effectively with businesspeople. <\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\"><i>The most important job of an analytics leader is to teach data analysts how to communicate effectively with businesspeople.<\/i><\/span><\/p>\n<p class=\"p2\" style=\"text-align: justify;\"><span class=\"s1\"><b>Not All Data Analysts Are Created Equal<\/b><\/span><\/p>\n<p class=\"p2\" style=\"text-align: justify;\"><span class=\"s1\">The title \u201canalyst\u201d is perhaps the most abused title in the corporate world. Even in the data &amp; analytics realm, there is quite a difference between data analysts. Much of this has to do with the availability of data and self-service tools. Data analysts who work at organizations beginning their data &amp; analytics journey are often glorified report specialists, while those at more mature companies can mashup data and create analytic models.<\/span><\/p>\n<p style=\"text-align: justify;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-487\" src=\"https:\/\/solutionsreview.com\/expert\/files\/2022\/12\/Screen-Shot-2022-12-02-at-2.52.08-PM-300x139.png\" alt=\"\" width=\"300\" height=\"139\" srcset=\"https:\/\/solutionsreview.com\/thought-leaders\/files\/2022\/12\/Screen-Shot-2022-12-02-at-2.52.08-PM-300x139.png 300w, https:\/\/solutionsreview.com\/thought-leaders\/files\/2022\/12\/Screen-Shot-2022-12-02-at-2.52.08-PM-600x278.png 600w, https:\/\/solutionsreview.com\/thought-leaders\/files\/2022\/12\/Screen-Shot-2022-12-02-at-2.52.08-PM.png 620w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\"><b>Steps to Success<\/b><\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\">Here are a few tips to get the most out of your data analysts. <\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\"><b>1. Take an Inventory<\/b> of your data analyst community. Since you can\u2019t manage what you don\u2019t know, it\u2019s important to identify everyone in the extended ecosystem who creates data sets or reports for others to consume. At companies with lots of departments this may take time since many people perform data analyses as part of their primary job. Although we don\u2019t recommend part-time data analysts, it\u2019s important to account for them in an inventory. <\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\">Eckerson Group recently performed an inventory of the data analyst community at a university and discovered 85 people who engaged in some form of data-related activities. (See figure 1-2.) When we added up the salaries of these individuals, the total was in the tens of millions of dollars. This is an eye opener for most executives who have no clue the amount of money they are spending on data and analytics resources. A visual inventory of a data analyst ecosystem can help sell a data strategy project designed to optimize the use of those expensive resources. <\/span><\/p>\n<p style=\"text-align: justify;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-488\" src=\"https:\/\/solutionsreview.com\/expert\/files\/2022\/12\/Screen-Shot-2022-12-02-at-2.53.02-PM-300x146.png\" alt=\"\" width=\"300\" height=\"146\" srcset=\"https:\/\/solutionsreview.com\/thought-leaders\/files\/2022\/12\/Screen-Shot-2022-12-02-at-2.53.02-PM-300x146.png 300w, https:\/\/solutionsreview.com\/thought-leaders\/files\/2022\/12\/Screen-Shot-2022-12-02-at-2.53.02-PM-600x292.png 600w, https:\/\/solutionsreview.com\/thought-leaders\/files\/2022\/12\/Screen-Shot-2022-12-02-at-2.53.02-PM.png 637w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\"><b>2. Appoint an Analyst Manager. <\/b>Whether your data analysts are decentralized or centralized, they need to be managed by an experienced analytics manager who hires, evaluates, and coaches the data analysts. The manager could be the director of a centralized center of excellence or one or more subordinates who manage the organization\u2019s data analysts, whether centralized or distributed, or both. If data analysts are embedded in departments, there needs to be a dotted-line arrangement in which the data analysts report to a department head but are managed, evaluated, and coached by the Analyst Manager. <\/span><\/p>\n<p class=\"p2\" style=\"text-align: justify;\"><span class=\"s1\"><i>This coaching is the biggest driver to creating a culture of analytics.<\/i><\/span><\/p>\n<p class=\"p3\" style=\"text-align: justify;\"><span class=\"s1\"><b>3. Coach the Data Analysts. <\/b>The Analyst Manager needs to teach analysts to work consultatively with the business, and not function as order takers. Data analysts need to learn to ask probing questions to unearth real business needs. They also need to present results in terms business users can understand and act on. This coaching is the biggest driver to creating a culture of analytics.<\/span><\/p>\n<p class=\"p1\" style=\"text-align: justify;\"><span class=\"s1\">Data analysts are the lynchpin of any data &amp; analytics program. Although small in number, they have an outsized impact on the success of a data leader. Data leaders need to know data analysts and their capabilities, coach them how to interact with businesspeople, provide them proper tools, and give them a career ladder to advance at the company.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data analysts have many nicknames: \u201cpower user\u201d, \u201cExcel jockey\u201d, \u201cTableau guru\u201d, and \u201cdepartmental analyst.\u201d Some practitioners refer to them as \u201cbusiness analysts\u201d but many organizations use that label to refer to business requirements analysts, so I avoid it. Data scientists are a type of data analyst\u2014with formal training in statistics and machine learning and the [&hellip;]<\/p>\n","protected":false},"author":299,"featured_media":643,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[10],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is a Data Analyst and Why Should You Care?<\/title>\n<meta name=\"description\" content=\"Eckerson Group President Wayne Eckerson explains what a data analyst is and why they are important in the current climate.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is a 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