Kyocera International, Inc., headquartered in San Diego, CA, was established in 1969 as a two-person operation serving Silicon Valley's burgeoning semiconductor industry and other high-tech markets throughout the United States. Today, our North American operations have since expanded to more than 5,000 employees engaged in the manufacture and sale of a broad range of state-of-the-art, high-technology products for consumers and businesses alike.

A data analyst is responsible for providing analytics solutions to all levels of the organization by using creativity and a variety of business intelligence tools to transform data into meaningful insights.

Essential Duties And Responsibilities

• Collecting and cleaning data from various sources, including databases, spreadsheets, and web APIs.
• Use variety of applications & tools in analytics project lifecycle (SQL, Power-BI, Tableau Python) to ensure robust pipelines and data accuracy/integrity and security.
• Work to eliminate routine/manual data handling tasks by automating new processes/methods to improve business processes and efficiency.
• Be an excellent communicator who can drive the full cycle of analytics workflow, from requirements-gathering to data-collection, to reporting and visualization.
• Identify and analyze trends in time-dependent data, both independently and in collaboration with business stakeholders.
• Maintain databases and data systems by addressing errors and monitoring performance.
• Analyzing collected data and applying formats that are accessible to all users.
• Provide ad-hoc analysis/solutions ranging from client analysis, business analysis, process reporting, and internal KPI tracking.
• Maintain up to date understanding with emerging trends in data analysis and tools.
• Perform any other related duties as required or assigned.

Requirements

• BS degree in Business, Data Analytics, Mathematics, or equivalent combination of education, training, and experience.
• 1 year Data Analyst or related experience, including proficiency with analytical software or related education plus degree.
• Programming skills in languages such as Python or R to be able to process data and perform statistical analysis.
• Strong analytical skills to analyze data sets, identify trends, and draw conclusions.
• Proficiency in statistical analysis & techniques, such as regression analysis, hypothesis testing, and clustering analysis.
• Ability to take initiative without established guidelines and procedures using independent judgment.
• Ability to independently research problem areas, facilitate meetings and decision-making processes.
• Ability to present complex data in a clear and understandable way through data visualizations, such as graphs, charts, and tables, using visualization tools such as Power-BI, Tableau, Excel, and QlikView.
• Ability to manage and manipulate datasets using database management tools, such as SQL, NoSQL, and Power Query
• Excellent written and verbal communication skills to be able to explain complex data insights to non-technical stakeholders.
• Experience applying analytical methods to business problems, driving improved decision making and outcomes.
• Advance PC skills, proficient in Microsoft Office programs
• Ability to manage multiple projects simultaneously and meet deadlines.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required.