What are the responsibilities and job description for the Business Intelligence (BI) Developer position at Aroha Technologies, Inc?
Position Title: Business Intelligence (BI) Developer
Location: West Sacramento, CA *(Hybrid Model: 2-3 days on-site per week)*
Contract Duration: Up to 24 months, with an option to extend for an additional 24 months.
Interview: In-person
Note: Local consultants are strongly preferred, ideally those located in and near West Sacramento. U.S. Citizens are strongly preferred.
Project Background: Client are in the midst of a strategic Digital Transformation, implementing advanced Business Intelligence, Data Warehouse (BI&DW) capabilities, and Generative Business Intelligence (GenBI). This role is critical to helping CalSTRS build better products with faster, more insightful data to serve our members.
Position Summary: We are seeking an experienced and innovative Business Intelligence Developer to join our BI&DW project team. The ideal candidate will possess deep functional and technical expertise in BI&DW tools, modern data architectures, and the application of Machine Learning (ML), Artificial Intelligence (AI), and Generative AI to deliver predictive analytics and automated insights. You will work closely with business stakeholders, data architects, and ETL developers to design, develop, and deliver high-quality BI solutions that drive data-informed decision-making across the organization.
Qualifications Requirements
Minimum Technical Qualifications
Location: West Sacramento, CA *(Hybrid Model: 2-3 days on-site per week)*
Contract Duration: Up to 24 months, with an option to extend for an additional 24 months.
Interview: In-person
Note: Local consultants are strongly preferred, ideally those located in and near West Sacramento. U.S. Citizens are strongly preferred.
Project Background: Client are in the midst of a strategic Digital Transformation, implementing advanced Business Intelligence, Data Warehouse (BI&DW) capabilities, and Generative Business Intelligence (GenBI). This role is critical to helping CalSTRS build better products with faster, more insightful data to serve our members.
Position Summary: We are seeking an experienced and innovative Business Intelligence Developer to join our BI&DW project team. The ideal candidate will possess deep functional and technical expertise in BI&DW tools, modern data architectures, and the application of Machine Learning (ML), Artificial Intelligence (AI), and Generative AI to deliver predictive analytics and automated insights. You will work closely with business stakeholders, data architects, and ETL developers to design, develop, and deliver high-quality BI solutions that drive data-informed decision-making across the organization.
Qualifications Requirements
Minimum Technical Qualifications
- At least 2 years of hands-on experience in using Generative AI or Machine Learning to successfully deliver data analytics solutions.
- At least 5 years of hands-on full-time experience of designing and developing data analytics, and Business Intelligence dashboards with Microsoft (MS) Power BI.
- 3. At least 5 years of experience of creating Structural Query Language (SQL) queries, optimizing SQL query performance, and modifying SQL elements such as procedure, functions, and views with a solid understanding of database principles.
- At least 3 years of experience of developing data solutions with Snowflake or Amazon Web Services (AWS) Redshift data warehouses.
- Bachelor’s degree or equivalent experience in Computer Science, Information Technology, or similar field of study. Clientreserves the right to request a copy of the degree.
- At least 5 years of experience with Agile methodologies and Software Development Life Cycle.
- At least 5 years of experience with Microsoft Power BI Data Analysis Expressions (DAX) to create queries, measures, and data models.
- At least 3 years of experience in State agency or Financials or Investment portfolios or other regulated industry highly preferred.
- Work with data architects, business analysts, Extract Transformation Load (ETL) developers, and business stakeholders to design, develop, and deliver high standard Business Intelligence (BI) solutions. This can include, but is not limited to, enterprise analytical reports, dashboards, data warehouse, data lake, data marts, and ETL processes.
- Integrate Generative AI capabilities with BI&DW platform to automatically generate business insights and recommendations, reducing the need for manual data analysis and interpretation, leading to faster decision-making.
- Leverage machine learning and artificial intelligence to provide predictive business insights to anticipate future trends and opportunities.
- Understand user expectations and create functional design documents and solutions based on the business requirements. Drive requirements through cross functional collaborations and connect dots from different requirements sources.
- Analyze product performance, identify key metrics, and build analytical reports and dashboards to meet business needs, implement the high priority initiatives, and instill discipline and accountability into the product development process.
- Lead and conduct functional testing of the Business Intelligence solutions, thereby responsible for certification of product release before user acceptance. Encourage best practices and apply them in the team - responsible for functional product quality.
- Build queries and large quantities of data by using Structural Query Language (SQL), or other data and statistical tools as well as reporting tools such as Tableau, Power BI, or Looker, etc.
- Execute deep dives into available data sets to provide insight on product quality performance and ensure a good user experience in support reports and dashboards.
- Perform ongoing monitoring and optimization of reports and analytical solutions.
- Review and provide any potential revisions to deliverables/documents to include conceptual/logical/physical data models, data dictionaries, data ETL plans, etc.
- Review and recommend any potential revisions to data related processes to include data integration, data conversion, data replication, data migration, etc.
- Communicate timely to resolve technical issues and risks.
- Develop user documentation and a variety of visual representation of data analysis and ensure consistency and accuracy of data and analysis provided.
- Provide written weekly and/or monthly reports detailing various technical findings that may impact schedules, resources, and activities, etc.
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