Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models. The Business Data Analyst, Senior will report to the Sr. Manager of Back Office Analytics.

As a Data Analytics or Data Engineer Intern , you will play a key role in developing a more data driven culture at Pacific Life. Interns will use industry leading tools such as Python, R, Sales Force, and Alteryx to help solve real world business problems.

Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)Key Skills: Data Science, AI/ML, SQL, R, Python, C.

In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.

The agency looks to the Analytics group for direction, strategic thinking, and prowess in data science. Familiarity with programming languages is a plus (R, Python, dbt, SQL.

Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Data science will have an introduction with PYTHON, further into numerical python, PANDAS DATA ANALYSIS, DATA VISUALISATION.

Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others. As a part of the Data Analytics team, the Data Analyst plays an essential role in supporting data gathering, analysis, and report development.

Strong technical skills: Programming tools (i.e., R, Python); Cloud Software (Azure ML, Google Analytics, Snowflake); data visualization tools (i.e., Tableau, Qlik Sense); data querying tools (i.e., SQL.

Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Working with analytics and construction management software packages including Cora, Power BI, Primavera P6, Primavera Unifier, [redacted], Tableau.

Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.

Preparing and modeling data in SQL, Tableau, and/or Qlik; Data center construction and engineering. Demonstrating experience with data cleansing, conversion and migration; Managing and directing on-shore and off-shore resources to organize and profile large data sets to develop risk models.

Use data and insights to inform conclusions and support decision-making. Participating in the assessment and improvement of business processes, including leveraging Cora, Primavera Unifier or other project technologies; and.

Professional Engineer (PE), Project Management Professional (PMP), or American Production and Inventory Control Society (APICS). Power generation including renewable energy assets; We advise and support clients as the plan, deliver, and optimize capital projects and programs.

Utilizing process design mapping skills in Visio and/or IBM Blueworks; and, To help us achieve this we have the PwC Professional; our global leadership development framework. Developing implementation plans and business cases while building client stakeholder and sponsor consensus and support.

Utility transmission (gas and electric) infrastructure; Our team helps organisations deliver on their large scale capital programs and portfolios by providing assurance, tax, consulting, deals and forensics services across the capital program lifecycle.