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Business Analyst
AllSTEM Connections
- United States
- United States
Über
The ideal candidate possesses a unique blend of technical prowess in database management, the mathematical rigor of a statistician, and the communication skills of a storyteller.
Key Responsibilities Data Modeling & Design: Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
Database Management: Acquire data from primary or secondary data sources and maintain databases/data systems.
Reporting & Visualization: Interpret data, analyze results using statistical techniques, and provide ongoing reports.
Mining & Segmentation: Identify, analyze, and interpret trends or patterns in complex data sets using various data mining techniques.
Process Improvement: Work with management to prioritize business and information needs, locating and defining new process improvement opportunities.
Stakeholder Presentation: Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Technical Requirements Technical Expertise: Proven working experience regarding data models, database design development, and data mining/segmentation techniques.
Tools & Reporting: Strong knowledge of and experience with reporting packages (e.g., SSRS, Tableau) and databases (e.g., SQL).
Programming & ETL: Experience with programming languages such as XML or JavaScript, and familiarity with ETL frameworks.
Statistical Analysis: Solid knowledge of statistics and experience using statistical packages for analyzing datasets (e.g., Excel, Power BI).
Core Competencies Analytical Rigor: Ability to collect, organize, analyze, and disseminate significant amounts of information with meticulous attention to detail and accuracy.
Communication: Expert at writing queries, drafting comprehensive reports, and presenting complex findings in a clear, concise manner.
Problem-Solving: A proactive approach to identifying data gaps and proposing technical solutions to bridge them.
Preferred Qualifications BS in Mathematics, Economics, Computer Science, Information Management, or Statistics.
Experience in data scrubbing and predictive modeling.
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here: https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA
Sprachkenntnisse
- English
Hinweis für Nutzer
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