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Develop visualization dashboards that provide reliable insights relative to critical metrics, projections, and historical performance. Provide on-going tracking and monitoring of performance of decision systems and statistical models. Build business insights and present findings to management. view job details

There is currently no job description for Analyst, Data Science and Product. Be the first to submit the job responsibilities for a Analyst, Data Science and Product.

Alternate job titles: Big Data Analytics Director

Establishes, plans, and administers the overall policies and goals of the data science function. Provides strategic guidance and overall direction for analytical efforts. Determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results. Uses extensive knowledge and research into big data tools to guide the integration of new and existing tools into the organization's data science tech stack. Typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to top management. Manages a dep... view job details

Alternate job titles: Big Data Analytics Manager

Manages teams tasked with identifying trends, patterns, and anomalies found in big data sets and used to develop insights by performing extensive data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Manages the design and implementation of big data solutions for the organization. Uses extensive knowledge and research into big data tools to guide data scientists' adoption and use of new and existing tools. Typically requires a master's degree in computer sc... view job details

The Head of Data Science provides the organization with data insights, analytics, and tools to achieve business goals, foster innovation, and promote data-driven decision-making. Develops and executes the data science vision, strategy, and capacity to support organizational long-term, short-term, and mission-critical goals. Being a Head of Data Science research and incorporates emerging technologies and methods to continuously improve analytic capabilities and enhance capacity to provide valuable results. Engages stakeholders and champions the design and development of data science initiatives... view job details

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So says this week's Salary Talk guest, Kevin Hogan, the author of the international best-selling 'The Science of Influence: How to Get Anyone to Say 'Yes' in 8 Minutes or Less.' Hogan has spent his life delving into the subtleties of persuasion and discovering how to influence people in every way possible. And today, he's sharing his secrets with all of you. For instance, did you know people are more than twice as likely to say yes to your request if you've spoken it into their right ear? And your chances of positively influencing someone increase exponentially in dim lighting. Conversely, peo... view article details

It's half an hour before an executive schmooze-fest at the MIT Sloan School of Management, and Ken Morse is giving last-minute networking tips to a crowd of MBA students and invited guests. As managing director of the MIT Entrepreneurship Center, Morse teaches aspiring business leaders the nuts and bolts of growing and sustaining a business. His lecture on networking is one of the highlights of the semester.Networking - or making professional contacts through friends, family, and other associates - is the most popular way to find a new job, according to a Salary.com poll. It is also an indispe... view article details

If you open up a biology textbook and look at the pictures, you'll find a number of dull images of DNA, chromosomes, and photosynthesis that have been putting you to sleep since high school. Unless you’re looking at a book with new and enthralling scientific illustrations by Nicolle Fuller. As an independent science artist, Fuller conceptualizes and creates the scientific images found in magazines, scientific journals, and textbooks. Her artwork runs the gamut from paintings of ancient dinosaurs to intricate depictions of highly complex cellular systems. What every one of her pieces has in com... view article details

Salary.com estimates that at least one employee in ten has viewed compensation information on the Internet within the last year. That number is expected to grow, as salary sites have become a routine component of both the job search and the career management process. In response to questions from HR professionals about what to do when an employee knocks on the door with a salary printout in hand, Salary.com has prepared this advice for and from employers on responding to online data.There probably is no way for employers to prevent employees from using salary sites, and no advantage to doing s... view article details

In researching the pay for an executive position, it's best to consult several of the many sources of data to get a sense of the range for the job. Don't aim for the top of the range, because there could be unfortunate consequences if you become too expensive.It's relatively easy to get executive pay data for public and nonprofit companies. Publications such as The Wall Street Journal publish information about CEO compensation. A more detailed and more immediate source is your company's annual meeting proxy (DEF-14A filing) if the company is public. You can get it from your company's investor ... view article details

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What makes a good Analyst?  Analyst is a very broad term used differently in every organization and job.  But when you think of an Analyst what are the key attributes you think of?   So often job descriptions and hiring managers focus only on technical skills.  The ability to write kick-ass queries and wrangle data like nobody's business. But in many cases the "Analysis" in "Analyst" is missing.  The critical thinking skills which enable a person to see contextual patterns in data and notice when something looks off. The ability to unconsciously notice the relatedness between several pieces of... view blog & white papers details

Data Science is the defined as: .... an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining and big data. Does HR really need data science or data scientists to uncover insights in people data? The answer doesn't need to be complicated. Strictly speaking many companies are too small to use their people data for serious research. Getting insights, yes. Testing some theories about people and business performance, yes. But serious Data Science,... view blog & white papers details

This episode features my friend and HR Industry luminary, Jason Averbook, CEO of Leapgen. Jason and I explore the real reason why our people data matters in making a difference in the business world. I hope you enjoy this episode and I am looking forward to your input and feedback. As a leading analyst, thought leader, and consultant in the area of human resources, Jason Averbook is passionate about the future of work and the impact technology has on that future. Jason, CEO of Leapgen, has more than 25 years of experience in the HR and technology industries and has collaborated with industry-l... view blog & white papers details

Sometimes you have conversations with people where you can tell you are on the same pathways. You will hear in this episode that Abhishek Goel and I found common ground on the need to develop the ROI for Data Science in People Analytics processes, teams and efforts. Without having good goals and measurements for People Analytics, it is typically hard to justify the cost of data science efforts to senior leadership. I hope you have as much fun listening as we did in recording this episode. Let's tap into Abhishek's expertise and learn how to get to the Return on Investment in People Analytics.... view blog & white papers details

When people say "Labor of Love" they really mean it. When you try to make something out of nothing… a garden, a tapestry, an invention, a consulting business during a pandemic, or a podcast with literally no experience in podcasting; it is true. Sweat makes the result even sweeter. While that might not be apparent on the first episode you hear right now, it is certainly true of the next few. I have interviewed and talked to a wealth of HR and organizational expertise around HR Data and Analytics. The people who are guests on the podcast are wonderful, brilliant, funny and insightful. This epis... view blog & white papers details