Data Analyst Intern Administrative Intern Non-Career

internship - part time, paid

City Long Beach
Long Beach, CA
Closed
Posted 49 Days ago
City Long Beach
Long Beach, CA
internship - part time, paid
Posted 49 Days ago
Closed

Description

DATA ANALYST INTERN (ADMIN INTERN NON-CAREER) Salary $22.56 - $23.71 Hourly Location City of Long Beach, CA Job Type Unclassified - Part-Time, Temporary Department Water - (UC) Job Number Data Analyst Intern June 2019 Closing 7/14/2019 11:59 PM Pacific DESCRIPTION The Long Beach Water Department is a Commission-governed department of the City of Long Beach consisting of over 250 employees and operating with an annual budget of approximately $145 million. The Department is seeking applicants for the position of Data Analyst Intern to conduct data analyses in the areas of water resource development and management, water conservation, water demand forecasting, and water distribution operations. The Data Analyst Intern position requires an understanding of and ability to perform trend forecasting, statistical modeling, and other technical analyses to assist in decision making by identifying actionable data insights. The selected candidate will be placed into the City's Administrative Intern Non-Career position. Non-Career employees are allowed a maximum of 1,600 work hours available over a 12-month period, and are considered temporary, at-will employees who are not typically eligible for benefits. However, Non-Career employees may qualify for sick leave accruals subject to applicable federal and state provisions. Additional Details: This is a 3/4 time position expected to begin in September 2019 for approximately one year or 1,600 hours. Hours will average about 32 per week, although the Department tries to be flexible for major school-related events such as mid-terms and finals. EXAMPLES OF DUTIES The Data Analyst Intern will provide data-driven recommendations regarding the development, implementation, and evaluation of programs, projects, systems, and operations by: Collecting, cleansing, processing, and maintaining various types of data. Structuring and organizing databases, and optimizing database connections for dashboards. Running queries and using statistical techniques to distil stories out of data. Using predictive modeling, programming, and machine learning to correlate disparate data. Creating reports and data visualizations to communicate findings to various audiences. REQUIREMENTS TO FILE The Data Analyst Intern position is open to current or recently graduated college students with a background or degree in Data Science, Computer Science, Statistics, Economics, or other relevant fields. Candidates are required to have experience with a programming language such as SQL, NOSQL, R, MatLab, SAS, Python, Hive, Spark, or equivalents. SELECTION PROCEDURE Interested candidates must submit an online application, cover letter, and resume no later than the deadline listed above. Questions about this internship? Call (562) 570-2311 or email Dean.Wang@lbwater.org. Incomplete applications and applications that do not meet the minimum requirements will not be considered. The City of Long Beach is an Equal Opportunity Employer. We value and encourage diversity in our workforce. The City of Long Beach intends to provide reasonable accommodations in accordance with the Americans with Disabilities Act of 1990. If a special accommodation is desired, or if you would like to request this information in an alternative format, please call 562.570.2364. Employee Benefits The City of Long Beach offers its employees opportunities to grow personally and professionally. As a permanent employee, you are eligible to receive fringe benefits that include: � Medical and Dental Insurance � Life Insurance � Retirement Plan (P.E.R.S.) � Paid Vacation, Personal Holidays and Sick Leave � Deferred Compensation � Credit Union Membership � Free Bus Transportation (Long Beach Transit) � Flexible Spending Accounts � Free Employee Parking Management positions and non-career positions are excluded from the above employee benefit package. Management positions - Refer to the Job Posting brochure included in the job posting. Non-career positions - Non-career employees are not typically eligible for health/dental/vision benefits; however, they may be eligible for sick leave benefits. Non-career employees are limited to 1600 work hours per service year and are not guaranteed a minimum number of work hours. 01 The purpose of this supplemental application is to derive more specific information about the qualifications of applicants for this position. Be specific and detailed in your responses. Do not leave any questions unanswered. Resumes will not be considered as part of the application process and may not be substituted for the completed application or supplemental questions. Do you understand the information stated above? Yes No 02 Do you have a valid driver's license? Please note a DMV printout will be required for review once selected for the position. Yes No 03 Are you available to work on site for 30-32 hours per week? Yes No 04 Are you a current or recently graduated college student with a background or degree in Data Science, Computer Science, Statistics, Economics, or other relevant field? Yes No 05 What is/was your major? 06 Do you have experience with SQL, NOSQL, R, MatLab, SAS, Python, Hive, Spark, or equivalents? Yes No 07 Is your experience with the above-mentioned programs limited to classroom training only? Yes No 08 Please describe your experience with SQL, NOSQL, R, MatLab, SAS, Python, Hive, Spark, or equivalents, including projects, types of reports and analysis. If none, put N/A 09 Selected candidates will be required to successfully complete a Department of Justice LiveScan fingerprint background check, a pre-employment physical conducted by the City of Long Beach's Occupational Health Division, as well as submit to an Oath of Allegiance. Do you understand these requirements? Yes No Required Question Agency City of Long Beach Department Water - (UC) Address 1800 E. Wardlow Rd. Long Beach, California, 90807 Phone (562) 570-2300 Website

Skills

data analysis, sql, python, sas, matlab, statistics, databases, machine learning, programming, economics, statistical modeling, data visualization, hive, predictive modeling, computer science

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