Hello and welcome to the course Product Management: Business KPIs & User Metrics analysis.
In this course, you will learn
#1 - How to look at user metrics & business KPIs
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Senior data analysts use data to solve high-priority business problems and oversee junior data analyst operations. Here’s what to know about a senior data analyst’s needed skills, salary and how to become one.
Senior data analysts apply advanced statistical analysis, data mining and predictive modeling techniques to draw data-driven insights. They have similar responsibilities to junior data analysts, though are often involved in complex or specialized data analytics projects as well as management initiatives.
Senior data analysts tackle critical data analytics projects, guide analytics best practices and seek out areas for improvement in data extraction, conversion and decision-making processes.
Senior data analysts tend to be part of a data analytics or data science team. They may report to a data analytics manager.
Senior data analysts can play a key role in guiding data analytics teams and setting new procedures that improve business performance. They also act as an important resource for resolving urgent data-driven decisions and roadblocks.
Senior data analysts are usually expected to earn a bachelor’s degree in computer science, statistics or similar scientific discipline.
They must also be able to show advanced experience in the areas of data analytics, programming languages (Python, R, SQL), statistical analysis, data visualization, management and strategic thinking.
Senior data analysts likely begin their careers as junior data analysts, business analysts, marketing analysts or related positions before stepping into the role. After gaining senior experience, professionals may move into roles like data analytics manager, director of analytics and eventually chief data officer.
Senior data analysts and similar roles will expect to see jobs grow up to 23 percent by 2031, a faster than average growth rate for U.S. positions.
The full compensation package for a senior data analyst depends on a variety of factors, including but not limited to the candidate’s experience and geographic location. See below for detailed information on the average senior data analyst salary.
Becoming a senior data analyst requires years of experience working as a data analyst or in a similar role.
Senior data analysts are tasked with fulfilling many of the same responsibilities as data analysts, with a primary focus on identifying data trends and insights to influence business growth. However, senior data analysts are typically assigned to higher priority projects that require a greater deal of expertise, so becoming one will require years of experience working first as a data analyst, business analyst or in a similar role that involves hands-on data management. Qualifications for a data analyst role include a bachelor’s degree in data analysis, data science, computer science, statistics or a related field, along with some relevant work experience in data entry, marketing or statistics. Senior data analysts can go on to have promising careers as data scientists, data engineers, data managers, and eventually, as directors of analytics.
The average base salary of a senior data analyst in the United States is $97,874.
Senior data analysts are top resources for an organization who work alongside data scientists to draw educated insights from high-priority data. Due to the impact that their analysis can make on a business, the average base salary of a senior data analyst in the United States is $97,874, according to Built In. U.S.-based senior data analysts also receive an average of $14,605 in additional cash compensation, raising the average total compensation for senior data analysts in the U.S. to $112,479. Built In collects salary data based on responses submitted by anonymous senior data analysts in the United States, with salary data updated in real time.
Senior data analysts must have strong analytical data skills and the ability to collect, clean and manage data with various tools.
Senior data analysts are responsible for high-priority data analysis projects that have the largest impact on business growth and product development. To effectively manage these projects, senior data analysts must be well-informed about business goals and have the ability to work within databases and tools like Microsoft Excel, SQL, Tableau, Microsoft Power BI and Jupyter Notebook. Senior data analysts should also have some knowledge of programming languages like Python for creating scripts and assisting data scientists with the use of algorithms.
Senior data analysts should also have command over the five phases of iteration for analysis work that includes identifying the data that must be analyzed, collecting the data, cleaning the data, analyzing the data and interpreting the results of the analysis. Maintaining this framework while performing analysis will keep senior data analysts working efficiently and able to seamlessly collaborate with other analysts, data scientists and data engineers.
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