1. What is the average salary of a Big Data Analytics Director?
The average annual salary of Big Data Analytics Director is $204,600.
In case you are finding an easy salary calculator,
the average hourly pay of Big Data Analytics Director is $98;
the average weekly pay of Big Data Analytics Director is $3,935;
the average monthly pay of Big Data Analytics Director is $17,050.
2. Where can a Big Data Analytics Director earn the most?
A Big Data Analytics Director's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, a Big Data Analytics Director earns the most in San Jose, CA, where the annual salary of a Big Data Analytics Director is $256,700.
3. What is the highest pay for Big Data Analytics Director?
The highest pay for Big Data Analytics Director is $237,269.
4. What is the lowest pay for Big Data Analytics Director?
The lowest pay for Big Data Analytics Director is $172,313.
5. What are the responsibilities of Big Data Analytics Director?
The Big Data Analytics Director provides strategic guidance and overall direction for analytical efforts. Establishes, plans, and administers the overall policies and goals of the data science function. Being a Big Data Analytics Director may require extensive knowledge of big data tools like Hadoop, HBase, Hive, Zookeeper, etc. Requires a bachelor's degree in related area. Determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results. In addition, Big Data Analytics Director typically reports to top management. The Big Data Analytics Director manages a departmental sub-function within a broader departmental function. Creates functional strategies and specific objectives for the sub-function and develops budgets/policies/procedures to support the functional infrastructure. Working as a Big Data Analytics Director typically requires 5+ years of managerial experience. Deep knowledge of the managed sub-function and solid knowledge of the overall departmental function.
6. What are the skills of Big Data Analytics Director
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
1.)
Leadership: Knowledge of and ability to employ effective strategies that motivate and guide other members within our business to achieve optimum results.
2.)
Data Analytics: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
3.)
Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
