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Business Analytics Engineer Enterprise - Oahu

Honolulu, Hawaii (HI), US, 96840

Live, first seen by us 17 days ago
Pay
$123,000–159,800/yearAnnual period assumed — pay source
Location: Honolulu – Oahu Hiring Range: The hiring range for the Business Analytics Enginer [Req ID 10761] position is $123,000.00 to $159,800.00. The person selected will be placed according to his/her skills and qualifications. About Hawaiian Electric Companies Hawaiian Electric Companies provide electricity and services to 95 percent of the state's 1.4 million residents. The company is also one of the state's leading employers and a major contributor and supporter of community and educational programs.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build predictive models and statistical analyses on high-volume data

  • Convert models into scalable analytical solutions and clean, transformed data

  • Lead and direct analytics teams and analysts on use cases

  • Mentor staff and data consumers on analytical tools and BI

  • Maintain multi-year data analytics plans, roadmaps and strategy

From the employer’s posting
Extracts knowledge and insights from high volume, high dimensional data using advanced statistical analysis, algorithms, predictive modeling
Converts existing or new models into scalable analytical solutions
provides leadership and direction to analytics teams and/or analysts
Mentors and coaches employees within the department
maintains multi-year data analytic plans, roadmaps and strategy for leadership consumption

What you’ll bring

All qualifications

Core experience

  • Familiarity with Agile Methodology, DevOps, and experience leading cross-functional teams in a dynamic environment.
  • Demonstrated leadership and interpersonal skills (effective written, oral and listening communication) in order to work effectively with all levels of the company and with outside contractors and consultants.
  • 35962 issued on December 19, 2018, and subsequently modified by Order No.
  • Proficiency in key analytical tools: for example, PySpark (preferred), R, Python/Jupyter, SAS, Power BI, Tableau, MATLAB, etc.
  • Ability to communicate complex information to technical and non-technical audiences, facilitate multi-level briefings and superior presentation skills, including storytelling and other techniques to guide and inspire.
  • 36112, issued on January 24, 2019, in Docket No.

Preferred experience

  • Understanding of distributed computing, cloud technologies with Azure experience preferred.
  • Experience in commercial/open-source data discovery/analysis platforms for “Big Data” with preference for: Spark, Databricks ML, with thorough knowledge and practical experience using Databricks for Machine Learning/Data Science strongly preferred.
Qualification wording
Familiarity with Agile Methodology, DevOps, and experience leading cross-functional teams in a dynamic environment.
Demonstrated leadership and interpersonal skills (effective written, oral and listening communication) in order to work effectively with all levels of the company and with outside contractors and consultants.
The relationship between Hawaiian Electric and unregulated, energy-related affiliate companies is governed by the Affiliate Transaction Requirements (ATRs) established by the Hawaii Public Utilities Commission (PUC). The ATRs were established with the PUC's Decision and Order No. 35962 issued on December 19, 2018, and subsequently modified by Order No. 36112, issued on January 24, 2019, in Docket No. 2018-0065. With Decision and Order No. 42409, issued on March 23, 2026, in Docket No. 2025-0391, the PUC indefinitely suspended certain sections of the ATRs.
Proficiency in key analytical tools: for example, PySpark (preferred), R, Python/Jupyter, SAS, Power BI, Tableau, MATLAB, etc.
Ability to communicate complex information to technical and non-technical audiences, facilitate multi-level briefings and superior presentation skills, including storytelling and other techniques to guide and inspire.
Understanding of distributed computing, cloud technologies with Azure experience preferred.
Experience in commercial/open-source data discovery/analysis platforms for “Big Data” with preference for: Spark, Databricks ML, with thorough knowledge and practical experience using Databricks for Machine Learning/Data Science strongly preferred.
Education & alternatives
Knowledge Requirements - A bachelor's degree in data analytics, data science, computer science, management information systems, business analysis, business management, engineering, finance, statistics, or related fields (or equivalent work experience) is required. - Requires thorough knowledge of business and data analysis, including working with unstructured data, in support of business data requirements elicitation, documenting, standardizing, validating and thorough to extensive knowledge of operations and delivery concepts, principles, standards, tools, techniques, methodologies for data analytics to solve complex problems.

Posting record

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Status in our records
Live
First seen by us
Oct 17, 202617 days ago
Recorded sightings
95
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$123K–$160K against $122K–$190K, the middle half of what similar US postings state.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 17

Similar jobs usually come down between day 6 and day 47.

From 1,409 similar postings that came down. Coming down is not always a hire.

Hawaiian Electric Company is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

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  • MATLAB
  • Python
  • R
  • SAS
  • SQL
  • Azure
  • Databricks
  • Power BI
  • SAP
  • Tableau
  • PySpark
Where the posting names them
- Working knowledge of utility business, business and/or engineering principles & practices preferred. - Proficiency in key analytical tools: for example, PySpark (preferred), R, Python/Jupyter, SAS, Power BI, Tableau, MATLAB, etc. - Strong knowledge of popular database programming languages including SQL, PL/SQL, for relational databases and upcoming nonrelational databases/distributed data/computing tools.
- Proficiency in key analytical tools: for example, PySpark (preferred), R, Python/Jupyter, SAS, Power BI, Tableau, MATLAB, etc. - Strong knowledge of popular database programming languages including SQL, PL/SQL, for relational databases and upcoming nonrelational databases/distributed data/computing tools. - Thorough experience working with popular data discovery, analytics and BI software tools like Power BI, Tableau, and others for semantic-layer-based data discovery.
- Requires thorough knowledge of business and data analysis, including working with unstructured data, in support of business data requirements elicitation, documenting, standardizing, validating and thorough to extensive knowledge of operations and delivery concepts, principles, standards, tools, techniques, methodologies for data analytics to solve complex problems. - Understanding of distributed computing, cloud technologies with Azure experience preferred. - Familiarity with Agile Methodology, DevOps, and experience leading cross-functional teams in a dynamic environment.
- Several (3-5) years experience with project management, working in cross-functional teams with business stakeholders, in support of multi-departmental data management and analytics initiatives is preferred. - Electric utility experience and Azure, Databricks, SAP, Big Data, Cloud based architecture experience is desirable. - Data Analytics/product or industry certification is desired.
- Thorough experience working with popular data discovery, analytics and BI software tools like Power BI, Tableau, and others for semantic-layer-based data discovery. - Experience in commercial/open-source data discovery/analysis platforms for “Big Data” with preference for: Spark, Databricks ML, with thorough knowledge and practical experience using Databricks for Machine Learning/Data Science strongly preferred. - Working knowledge of statistical methods and data mining techniques (predictive modeling, segmentation, regression, etc.) and experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms.
- Strong knowledge of popular database programming languages including SQL, PL/SQL, for relational databases and upcoming nonrelational databases/distributed data/computing tools. - Thorough experience working with popular data discovery, analytics and BI software tools like Power BI, Tableau, and others for semantic-layer-based data discovery. - Experience in commercial/open-source data discovery/analysis platforms for “Big Data” with preference for: Spark, Databricks ML, with thorough knowledge and practical experience using Databricks for Machine Learning/Data Science strongly preferred.

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

We recognize our competitive advantage -- our people. We believe in our people, who share our vision of meeting the needs of our employees, customers, and communities and who carry out the continued success of the company.

 

Our employees are committed to the company's foundational values: integrity, excellence, teamwork, environmental stewardship, and community commitment. In turn, we invest in our employees, providing opportunities for challenge and advancement and offering a competitive compensation package.

 

Applications will be screened based on the information provided; in order to assist us in determining qualifications, please upload a current resume and take some time to update your employment information, certifications, etc. The information will flow over to your profile.

 

Posting End Date: This position will remain open until filled. Early applications are highly encouraged. 

 

BRIEF POSTING DESCRIPTION:

The P EB ENTERPRISE DATA & ANALYTICS Department of the P ENTERPRISE ARCHITECTURE & PLANNING Division at Hawaiian Electric Company has 1 Management vacancy available. (Role: Professional)

 

JOB FUNCTION:

The Business Analytics Engineer is a recognized subject matter expert in data analytics supporting the enterprise or specific domains by leading business analytics services and data-driven solutions through the data science disciplines. These roles focus on optimizing data models, business aggregate (“last mile”) data pipelines and leveraging data as a strategic enterprise asset to enhance business performance, process effectiveness, predict outcomes and develop business intelligence to support data driven decisions. These roles are able to tell the story of data, evangelize good data usage, advise, and teach while transforming data into information, information into insight and insight into business actions.

 

Specific functional domain expertise may be required: This position works across all functional data domains and enterprise-wide across Hawaiian Electric Company, Hawaii Electric Light Company and Maui Electric Company (the Companies).

 

ESSENTIAL FUNCTIONS:

  • Data Science & Analytics: Extracts knowledge and insights from high volume, high dimensional data using advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance.
  • Data Modelling & Transformation: Converts existing or new models into scalable analytical solutions and creates processes for data modeling, mining, and production and applies software engineering best practices to analytics code to provide clean, transformed data ready for analysis.
  • Machine Learning: Provides support for developing machine models and research into new artificial intelligence applications.
  • Data Solution Management:
    • Supports and/or leads the Companies to timely deliver, manage, enhance and upgrade analytical solutions that increase business value, improve data reliability, efficiency, quality, useability and meet corresponding key performance indicators (KPIs).
    • Provides consulting and expertise for enterprise or domain specific strategy to understand business priorities, identify opportunities to leverage data, and provides leadership and direction to analytics teams and/or analysts to promote awareness and potential of the value proposition as use cases are developed and delivered.
    • Researches opportunities for data acquisition and new uses for existing data, understands and identifies applications of data to the operation of the business, and work closely with data subject matter experts and data science teams to determine what data management systems are appropriate and what data is needed.
  • Organizational Data Governance & Capability Development
    • Mentors and coaches employees within the department, in the data analytics community (such as data scientists, data analysts, business users or any data consumers), and across the organization in the adoption of new analytical tools, techniques, technology, information and in the use of business intelligence tools to enhance business decision-making capability.
    • Proactively monitors industry, functional, and technology trends, guiding business partners on emerging opportunities and new technology/product development and maintains multi-year data analytic plans, roadmaps and strategy for leadership consumption.
  • Remain available for both scheduled and unscheduled work. Said work is occasionally required outside normal business hours and on weekends.
  • Participates in Company emergency response activities as assigned, including any activities required to prepare for such emergency response.

 

BASIC QUALIFICATIONS:

Knowledge Requirements

  • A bachelor's degree in data analytics, data science, computer science, management information systems, business analysis, business management, engineering, finance, statistics, or related fields (or equivalent work experience) is required.
  • Requires thorough knowledge of business and data analysis, including working with unstructured data, in support of business data requirements elicitation, documenting, standardizing, validating and thorough to extensive knowledge of operations and delivery concepts, principles, standards, tools, techniques, methodologies for data analytics to solve complex problems.
  • Understanding of distributed computing, cloud technologies with Azure experience preferred.
  • Familiarity with Agile Methodology, DevOps, and experience leading cross-functional teams in a dynamic environment.
  • Working knowledge of utility business, business and/or engineering principles & practices preferred.
  • Proficiency in key analytical tools: for example, PySpark (preferred), R, Python/Jupyter, SAS, Power BI, Tableau, MATLAB, etc.
  • Strong knowledge of popular database programming languages including SQL, PL/SQL, for relational databases and upcoming nonrelational databases/distributed data/computing tools.
  • Thorough experience working with popular data discovery, analytics and BI software tools like Power BI, Tableau, and others for semantic-layer-based data discovery.
  • Experience in commercial/open-source data discovery/analysis platforms for “Big Data” with preference for: Spark, Databricks ML, with thorough knowledge and practical experience using Databricks for Machine Learning/Data Science strongly preferred.
  • Working knowledge of statistical methods and data mining techniques (predictive modeling, segmentation, regression, etc.) and experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms.

 

Skills Requirements

  • Demonstrated leadership and interpersonal skills (effective written, oral and listening communication) in order to work effectively with all levels of the company and with outside contractors and consultants.
  • Demonstrated strong analytical skills and thorough Data Literacy with the ability to describe business use cases/outcomes, data sources and management concepts, analytical approaches/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 superior presentation skills, including storytelling and other techniques to guide and inspire.
  • Ability to conceptualize new ideas quickly and ability to learn new technologies on the job.
  • Communicates difficult concepts and negotiate adoption of new perspectives across the enterprise while mentoring teams and facilitating knowledge transfer.

 

Experience Requirements

  • Extensive (7+ or more) years experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering and analytics.
  • Several (3-5) years experience with project management, working in cross-functional teams with business stakeholders, in support of multi-departmental data management and analytics initiatives is preferred.
  • Electric utility experience and Azure, Databricks, SAP, Big Data, Cloud based architecture experience is desirable.
  • Data Analytics/product or industry certification is desired.

 

Role: Professional 

Number of Vacancies: 1 

Location: Honolulu – Oahu

Hiring Range: The hiring range for the Business Analytics Enginer [Req ID 10761] position is $123,000.00 to $159,800.00. The person selected will be placed according to his/her skills and qualifications. 

 

About Hawaiian Electric Companies
Hawaiian Electric Companies provide electricity and services to 95 percent of the state's 1.4 million residents. The company is also one of the state's leading employers and a major contributor and supporter of community and educational programs.

The demand for power that has fueled the growth of the Hawaiian Islands has been met by Hawaiian Electric Companies for well over a century. And as the next millennium unfolds, the company is committed to providing quality service and seeking clean local energy sources to power generations of Hawaii families and businesses to come. Visit us at http://hawaiianelectric.com.

Interested individuals should apply online. The application must clearly indicate the demonstrated experience/knowledge/skills/abilities the candidate possesses which specifically qualifies him/her for the position.

 

Applicant Certification
By submitting an application for the position, candidates:
1. Authorize the Hawaiian Electric Companies to confirm all statements contained in the application and/or any materials submitted and made a part of the application as they relate to the position and to the extent permitted by law;
2. Authorize and consent to, without reservation, the Hawaiian Electric Companies sharing any and all information regarding previous or present employment, educational training or personal information from their records and from any other source with the hiring department or subsidiary company;
3. Release, discharge, and hold harmless, Hawaiian Electric Companies, from any and all liability for any damage which may be claimed as a result of furnishing such information to the hiring department or subsidiary company;
4. Authorizes release and transfer of all personnel records to be maintained by the hiring company in the event of an inter-company transfer; and
5. Authorize, direct, and consent to Hawaiian Electric Companies and/or its authorized agents to conduct investigations into candidates' background. These investigations may include, but are not limited to searches for information about applicants; record of criminal convictions to the extent permitted by law, education records, professional certifications, personal character references, and employment history.

 

EEO Statement
Hawaiian Electric Companies is an equal opportunity employer, including disability and protected veteran status. 

Hawaiian Electric Companies complies with all applicable laws, including Title I of the Americans with Disabilities Act. Any request for reasonable accommodation needed during the application process should be communicated by the candidate to the HR Service Center at (808) 543-4848.

 

Affiliate Disclaimer

The relationship between Hawaiian Electric and unregulated, energy-related affiliate companies is governed by the Affiliate Transaction Requirements (ATRs) established by the Hawaii Public Utilities Commission (PUC). The ATRs were established with the PUC's Decision and Order No. 35962 issued on December 19, 2018, and subsequently modified by Order No. 36112, issued on January 24, 2019, in Docket No. 2018-0065. With Decision and Order No. 42409, issued on March 23, 2026, in Docket No. 2025-0391, the PUC indefinitely suspended certain sections of the ATRs.

 

The ATRs address many issues related to Hawaiian Electric's interactions and transactions with Affiliates and Affiliate-Related Entities. If you'd like more information about these rules/regulations, you can email ATR@hawaiianelectric.com.

 

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Pay
Location: Honolulu – Oahu Hiring Range: The hiring range for the Business Analytics Enginer [Req ID 10761] position is $123,000.00 to $159,800.00. The person selected will be placed according to his/her skills and qualifications. About Hawaiian Electric Companies Hawaiian Electric Companies provide electricity and services to 95 percent of the state's 1.4 million residents. The company is also one of the state's leading employers and a major contributor and supporter of community and educational programs.
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Honolulu, Hawaii (HI), US, 96840

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