Analytics Enablement Manager

University of Phoenix; Phoenix (AZ); Remote; USD 102,000 - 150,000; Full time

Job summary

A leading higher education institution is seeking an Analytics Enablement Manager to oversee business analytics and reporting in Phoenix, AZ. This role requires expertise in building ETL pipelines, developing machine learning models, and handling large datasets. Candidates should possess a Master's degree and experience in Python and SQL to fulfill the expectations of this crucial role effectively. This position allows telecommuting from anywhere in the U.S., promoting a flexible work environment.

Qualifications

• Requires Master's degree plus 2 years experience in data science.
• Experience with Python, SQL, and data analytics.
• Proficiency in building machine learning models and ETL pipelines.

Responsibilities

• Lead business analytics and reporting requirements gathering.
• Develop complex stored procedures and manipulate large datasets.
• Build, tune, and deploy machine learning/AI models.

Skills

Python programming

SQL

Data visualization tools

Machine learning

ETL pipelines

Data warehousing

Education

Master’s degree in Business Analytics or Statistics

Job description

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Job Title : Analytics Enablement Manager

Job Description: The University of Phoenix, Inc. seeks an Analytics Enablement Manager based in Phoenix, AZ to lead business analytics and reporting requirements gathering .

In this business analytics/data scientist role, work with key subject matter expert business users to develop complex stored procedures, views, functions, and other database objects that will be used to build dashboards and other data solutions. Access data, construct, and manipulate large datasets to support planned analysis using SQL. Work with marketing enablement functions to ensure that all needed sources are integrated into our data lake to ensure stakeholder satisfaction. Conduct effective exploratory data analysis (EDA). Identify the best model for given problems . Build Python scripts to source and transform data. Build ETL pipelines independently. Build, tune, and deploy machine learning/AI models. Communicate results to business leaders and technical audiences. Maintain team documentation, organization, and resources to ensure stability and scalability of the team. Implement, support data lakes, data warehouses and data applications on AWS at enterprise level. Build end-to-end data solutions ( ingest, storage , integration, processing, access) on AWS. Migrate data from APIs, traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift. Design, develop, and maintain standardized metric reporting to define, create, automate, and maintain operational cyclical reporting. Plan and lead efforts to review and recommend improvements and subsequent development of reporting enhancements, including the creation of new reporting templates and analytical reports. Develop and maintain robust data frameworks to support business requirements, and design and implement scalable, efficient and real-time data processing. Utilize distributed computed principles to process and analyze large data sets, implement and maintain data pipelines for efficient data movement and transformation, and implement real-time data processing. Implement and enforce data quality checks and governance processes to ensure data accuracy and reliability, and ensure compliance with data privacy and regulatory requirements. Contribute with cross-functional teams to create interactive dashboards and monitor resource utilization to manage costs effectively and maintain high performance data capabilities. Position may telecommute from anywhere in the U.S. five days per week . Annual salary: $102,510.

Minimum Requirements: Requires a Master’s degree in Business Analytics, Statistics, or a related field plus 2 years of data science and analytics experience. Must have two years of experience with each of the following:

• Python programming language for data analysis and data science;
• RDBMS tools including SQL Server and writing advanced SQL Scripts, views, and procedures;
• Developing and deploying machine learning models;
• Data warehousing, building ETL pipelines and data model concepts;
• Cloud technologies; and
• Building reports and dashboards using data visualization tools.
  
  

Will accept any suitable combination of education, training or experience.

Interested candidates may apply online at https://uop.avature.net/careers/SearchJobs or may send resume to [e-mail]. Reference code 254 in the subject line.

University of Phoenix is an equal opportunity employer

If you are an active-duty military member seeking employment when off-duty, compliance with Department of Defense Joint Ethics Regulation, 5500-7-R, is required prior to starting employment with University of Phoenix. You are advised to contact your base Judge Advocate General to seek such approval and answer any questions.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Higher Education

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