From email, mobile apps, social networks,\ne-commerce sites and web traffic, the sources and streams of data flowing into organizations\nare abundant, with new data sources and applications for this information emerging\nevery day. As organizations strive to strategically\nand efficiently gather, interpret and leverage all this data to gain that competitive\nedge in their industry, data analytics managers are an increasingly valuable\ncommodity to make sense of this sea of data. <\/p>\n\n\n\n
Industries across sectors have a wealth of data, though it is often disparate, scattered around multiple locations and in a myriad of formats. In order to glean useful insights, a team of data and analytics specialists<\/a>\u2014such as database administrators, statisticians, data scientists, data and business analysts\u2014are needed to process, gather, clean and visualize this raw data, converting this mass of information into accurate and useful insights for organizational leaders. <\/p>\n\n\n\n Data analytics managers bring together and lead\nthe unique roles of this team, blending project management, technical skills\nand industry knowledge to prepare and present the team\u2019s findings in a\ndigestible manner to stakeholders. These data insights can then drive business\ndecisions\u2014from a deeper knowledge of customer purchasing behavior, to a greater\ncompetitive understanding of the market, to internal applications of employee\nand talent management. <\/p>\n\n\n\n Any organization striving to make data-driven decisions<\/a> needs a data analytics manager. <\/p>\n\n\n\n Data analytics managers effectively blend an analyst\u2019s mindset with project management abilities, scoping analytics projects and determining schedules, approaches and the appropriate project team structure to support the objectives of the business request or need. As nearly all the team\u2019s projects will be rooted in business analytics<\/a>, the deliverables will be accurate and actionable data delivered to organizational decision makers. <\/p>\n\n\n\n Data analytics managers must coordinate the\ntasks among team members, establishing methods for data collection, analysis\nand presentation. Day-to-day duties can include:<\/p>\n\n\n\n As the sources and applications of data continue to evolve and the possibilities for data-driven businesses are seemingly endless, data analytics managers have a bright job and salary outlook.* The broader occupational category of operations research analysts, which includes the data and business analytics analysts and managers, is projected to grow by 27% between 2016 and 2026, according to the Bureau of Labor Statistics<\/a>.1<\/sup><\/p>\n\n\n\n The potential for wage growth and highly competitive salaries is equally strong, particularly when factoring in experience, education level, the exact job title and job location. A study<\/a> incorporating wage data from PayScale.com found the median salary for data analytics managers to be $93,046.* Employer-reported salary sources from Salary.com<\/a> places the salary range for a business analytics manager at $113,147 to $122,066 for those holding an associate\u2019s or bachelor\u2019s degree and $112,126 to $119,885 for those holding a certificate.* <\/p>\n\n\n\n Geography can also influence salary<\/a>, with hubs like San Jose, San Francisco, Washington, D.C., and Seattle generally having a higher concentration of data analytics manager positions and offering higher wages. <\/p>\n\n\n\n Although analytics professionals must have\nstrong technical prowess to harness data into meaningful and actionable\ninsights, they must also possess soft skills like leadership and communication\nin order to effectively convey expectations to their team and influence\nstakeholders to take action. Additionally, analytics professionals need\nbusiness skills to contextualize insights in a meaningful way. Data analytics managers\nmust bridge the technical and business side to execute projects and develop informative\ndeliverables. <\/p>\n\n\n\n An undergraduate degree in a field such as statistics, computer science, business administration or information systems can provide the foundation to then move into a role such as database developer or data analyst before advancing to the senior role of data analytics manager. Pursuing advanced credentials, such as professional certificates<\/a> or certifications can refine existing skill sets and show a potential employer or current manager a commitment to continued knowledge and skill development. <\/p>\n\n\n\nRole and Responsibilities<\/strong> <\/h2>\n\n\n\n
Career\nOutlook and Salary <\/strong><\/h2>\n\n\n\n
Education\nand Training <\/strong><\/h2>\n\n\n\n