Master Data Analyst / Specialist

Pasadena, CA 91101

Part-time

Salary: $32.89 to $40.85 /hour

THIS POSITION IS FOR 2-3 DAYS A WEEK FOR NOW AND MAY BE UPDATED TO FULL TIME STATUS BASED ON COMPANY NEEDS.

Under the general direction of Director of Student Data and Analysis, The Master Data Processing Specialist will work to combine programming, algorithms and quantitative analysis to optimize our data quality and key metrics for large data sets of K-12 students while integrating multiple sources of academic data. You will be responsible for leveraging data mining approaches to systematically recognize patterns and data anomalies intended to inform data cleaning, modeling and analytics. This is a hands-on development/analytics position focused on developing processes that ensure the quality of the data that we use to build innovative educational applications for schools and parents. You should be open to working with diverse types of big data and technologies such as Amazon AWS, MapReduce/Spark, PowerBI, Tableau, and Machine Learning/AI. The ideal candidate should possess advanced SQL writing skills and expertise in data mining (SQL, ETL, Data Modeling etc.) with complex datasets.

Responsibilities

  • Research and develop analysis, predictive modeling and optimization methods to improve our people data and identity resolution.

  • Experience working with large raw data sets and transforming them for use in predictive modeling, machine learning based applications.

  • Extract insights from data sets for backend development to for application development, visuals and dashboards.

  • Develop and automate regression test scenarios in support of ETL and data science development efforts.

  • Perform ad-hoc quality audits to investigate data anomalies and ensure quality standards, procedures and methodologies are being followed to provide a risk assessment and set the correct severity and priority for resolution.

  • Define and track quality assurance metrics, error margins, procedures, and documentation in accordance with standards and guidelines.

 

Requirements

  • Proficiency in working with Python-based statistical tools, database query languages (SQL) or proficiency in at least one other language like R, MATLAB or SAS.

  • Experience with Hadoop and NoSQL related technologies such as MapReduce, Spark, Hive, Elastic Search, and DynamoDB.

  • Comfortable training and communicating complex ideas to non-technical audiences.

  • Demonstrated ability to lead and execute projects from start to finish

 

Competencies

  • Critical Thinking – Analytically and logically evaluating information, propositions, and claims

  • Fact Finding – Obtaining facts and data pertaining to an issue or question

  • Professional & Technical Expertise – Applying technical subject matter to the job

  • Attention to Detail – Focusing on the details of work content, work steps, and final work products

  • Learning Agility – Seeking learning opportunities and applying the lessons to one's work

  • Professional Integrity & Ethics – Displaying honesty, adherence to principles, and personal accountability

  • Self-Management – Showing personal organization, self-discipline, and dependability

  • Customer Focus – Attending to the needs and expectation of customers

  • Cultural Proficiency – Modeling communications and interactions that respect and include all individuals and their languages, abilities, religions and culture

  • Ability to work under pressure, meet quick timelines and be able to work with multicultural teams situated in different time zones.

 

Qualifications

  • Experience: Two years of experience in data management, data analysis, data mining, and/or visualization and technical support for software applications.

  • Education: A bachelor's degree in Machine Learning, Computer Science, Engineering, Physics, Statistics, Applied Math, Operations Research, or another quantitative field.

  • Additional Requirements: A valid California driver's license and the availability of private transportation or the ability to provide transportation between job sites may be required.