Job Description
Title: Business/Data Analytics
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Duration: FTE
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Location: Honolulu-3 days Hybrid
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JOB FUNCTION:
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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.
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ESSENTIAL FUNCTIONS:
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- Data Science & Analytics
- Data Modelling & Transformation
- Machine Learning
- Data Solution Management
- Organizational Data Governance & Capability Development
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Knowledge Requirements
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- 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.
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Experience Requirements
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- Extensive (7+ or more) years of 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 of 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.
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