Business Analytics Engineer Enterprise

Business Analytics Engineer role at Hawaiian Electric Company in Honolulu, supporting enterprise analytics with data science, scalable data pipelines, and predictive solutions.

Responsibilities

• Extract knowledge and insights from high volume, high dimensional data using advanced statistical analysis, algorithms, predictive modeling, experimentation, and pattern recognition to improve business performance.
• Translate existing or new models into scalable analytical solutions; define processes for data modeling, mining, and production.
• Apply software engineering best practices to analytics code to deliver clean, transformed data ready for analysis.
• Support development of machine learning models and research new artificial intelligence applications.
• Support and/or lead timely delivery, management, enhancement, and upgrades of analytical solutions to increase business value and improve data reliability, efficiency, quality, useability, and alignment with relevant KPIs.
• Provide enterprise and domain consulting: understand business priorities, identify opportunities to leverage data, and guide analytics teams or analysts through leadership and direction as use cases are developed and delivered.
• Identify opportunities for data acquisition and new uses of existing data; work with data subject matter experts and data science teams to determine appropriate data management systems and define what data is needed.
• Mentor and coach employees within the department and across the organization on adoption of analytical tools, techniques, technology, information, and business intelligence practices to strengthen decision-making.
• Monitor industry, functional, and technology trends; advise business partners on emerging opportunities and new technology or product development, and maintain multi-year data analytics plans, roadmaps, and strategy for leadership review.
• Remain available for scheduled and unscheduled work; occasionally required outside normal business hours and on weekends.
• Participate in company emergency response activities as assigned, including activities required to prepare for emergency response.

Requirements

• Bachelor’s degree in data analytics, data science, computer science, management information systems, business analysis, business management, engineering, finance, statistics, or related field (or equivalent work experience).
• Thorough knowledge of business and data analysis, including working with unstructured data and supporting business data requirements elicitation.
• Experience documenting, standardizing, validating, and applying operations and delivery concepts, principles, standards, tools, techniques, and methodologies for data analytics to solve complex problems.
• Understanding of distributed computing and cloud technologies; Azure experience preferred.
• Familiarity with Agile methodology and DevOps; experience leading cross-functional teams in a dynamic environment.
• Utility business, business, and/or engineering principles and practices preferred.
• Proficiency in key analytical tools including PySpark (preferred), R, Python/Jupyter, SAS, Power BI, Tableau, MATLAB, and others as applicable.
• Strong knowledge of database programming languages including SQL and PL/SQL, covering relational databases and upcoming nonrelational/distributed data or computing tools.
• Thorough experience with data discovery, analytics, and BI tools such as Power BI and Tableau, including semantic-layer-based discovery.
• Experience with commercial/open-source data discovery and analysis platforms for Big Data; preference for Spark and Databricks ML, with strong practical Databricks experience for machine learning/data science.
• Working knowledge of statistical methods and data mining techniques (predictive modeling, segmentation, regression) and experience refining and optimizing data science and machine learning models and algorithms with data science teams.
• Demonstrated leadership and interpersonal skills, including effective written, oral, and listening communication across all organizational levels and with outside contractors and consultants.
• Strong analytical skills and data literacy, including ability to describe business use cases and outcomes, data sources and management concepts, analytical approaches or options, and solve business problems with advanced analytical solutions.
• Ability to communicate complex information to technical and non-technical audiences, facilitate multi-level briefings, and use strong presentation and storytelling techniques.
• Ability to conceptualize new ideas quickly and learn new technologies on the job.
• Capacity to communicate difficult concepts, negotiate enterprise adoption of new perspectives, and mentor teams with knowledge transfer.

Technologies

• PySpark, R, Python, Jupyter, SAS
• Power BI, Tableau, MATLAB
• SQL, PL/SQL
• Spark, Databricks ML, Databricks
• Azure
• Agile Methodology, DevOps
• Machine Learning, Artificial intelligence
• SAP
• Big Data, Cloud based architecture

Role details

• Location: Honolulu, HI (onsite)
• Vacancies: 1
• Number of years experience: 7+ years
• Role level: Professional
• Hiring range: USD 123,000 to 159,800 per year
• Posting: Req ID 10761
• Brief description: Enterprise Data & Analytics within Enterprise Architecture & Planning at Hawaiian Electric Company (1 management vacancy available; role: Professional)

Job function

• Recognized subject matter expert in data analytics supporting enterprise or specific domains through leading business analytics services and data-driven solutions.
• Focus on optimizing data models and business aggregate “last mile” data pipelines, leveraging data as a strategic enterprise asset to enhance performance, process effectiveness, and predict outcomes.
• Develop business intelligence to support data-driven decisions; communicate the story of data and evangelize good data usage.
• Specific domain coverage: works across all functional data domains enterprise-wide across Hawaiian Electric Company, Hawaii Electric Light Company, and Maui Electric Company.