Data Business Intelligence Analyst

Internal Notes (1/15/26) from the NRG Hiring Manager regarding the job focus and Must-Haves:

Updated Role Title : Data Business Intelligence Analyst

(Please note this role is analytics and business facing, not a traditional data engineering or ETL focused role.)

Role Overview (High Level)

This position is a BI-heavy, business-facing role that supports day-to-day operational reporting and insights for the Retail organization. The role is not project-based and does not focus on large-scale data migrations, platform-to-platform work, or third-party data ingestion.

The expected skill balance is approximately:

1. 70% Business Intelligence / Analytics
2. 30% Data Engineering

What We Are Prioritizing

Please prioritize candidates who demonstrate:

1. Strong business intelligence and data analysis experience
2. 4+ years of professional BI and analytics experience is critical
3. Candidates lacking this depth will not be a fit
4. Hands-on experience with visualization and reporting tools
5. Tableau and/or Power BI
6. Preference for 4+ years of dashboarding and reporting experience
7. Business-facing experience
8. Regular interaction with stakeholders
9. Translating business questions into dashboards and insights
10. Supporting operational and enterprise-driven changes (not long-term project work)
11. Programming experience
12. Hands-on experience with SAS, R, or Python is a must
13. Industry experience (strongly preferred)
14. Utility experience, particularly supporting marketing campaigns, customer data, and retail operations
15. Candidates without utility experience may face a steep learning curve and are less likely to be successful

Technology Expectations

1. SQL: Required
2. SAS / R / Python: Required
3. Databricks & GCP:
4. Experience is helpful, but less than 2 years is acceptable
5. Candidates coming from a heavily IT-driven environment may not be a fit for this role

Ideal Candidate Profile

1. Has a strong BI and analytics background
2. Is comfortable working directly with business partners
3. Has supported utility or retail energy marketing initiatives
4. Can quickly interpret business needs and adjust dashboards accordingly
5. Is not seeking a deeply technical or engineering-only role

What to Avoid

Please avoid submitting candidates whose backgrounds are primarily focused on:

1. Data migrations or moving data between platforms
2. ETL-heavy or backend pipeline ownership
3. Data model QA or third-party data ingestion workflows
4. Infrastructure- or IT-centric roles with limited business interaction

(These profiles have consistently been declined and do not align with how this team operates.)

JOB DESCRIPTION:

Business Intelligence Analyst

This is a great opportunity to work with a strong and cohesive technical team, with an Employer of Choice in the Houston market!

Location: Hybrid (3-4 days in office) in the Houston, Texas area (Candidates must be local)

Work Authorization : U.S. Citizenship required

Job Type: 6-month contract role with the possibility of being extended to 12-18 months

Pay Range: up to $60.81/hr

We are seeking a Data Engineer, Business Intelligence to join its Retail Business Intelligence team to strengthen the BI capabilities of the retail division. The position requires 4+ years of data management, modelling, and BI experience. The successful candidate will possess a strong data modeling, data visualization background and will provide expertise and best data engineering practices. The candidate should have a demonstrable record of being able to interact effectively with business stakeholders in all functional areas to gather and understand business requirements and reporting needs. Ability to learn new technologies, welcome challenges, accept new responsibilities, work well as individual and as a team and adapt quickly is essential.

Essential Duties/Responsibilities:

• Gather large and complex data sets to meet business requirements.

• Re-designing data marts for scalability and optimization.

• Ensure data architecture supports existing and future requirements of evolving business model

• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Create and maintain documentation for each step in the data lifecycle

• Develop and maintain operational dashboard and executive-level reporting using tools like Tableau, or Power BI

• Interact with functional business units to analyze, gather, and prioritize business and reporting requirements

• Partner with the Enterprise Data and Analytics leaders and teams to manage the key data processes, tools, and architectures needed to deliver confidence in regular reports.

• Collaborate with Enterprise Data and Analytics team to implement data management, data quality best practices and standards

• Partner with business leaders to develop, monitor, and report on marketing tests for new or enhanced products and campaigns

• Provide ad hoc report for Retail organization for experiments in market.

• Hands on development of data models in Oracle, AWS and data visualizations.

• Formulate and provide status updates on project plans and schedules to meet goals/objectives

Working Conditions:

• Hybrid work: Working 3-4 days a week in the office.

• Some overtime may be required as special projects arise or daily operations dictate

Additional Knowledge, Skills, and Abilities:

• Ability to manage multiple priorities while committed to deadlines and work overtime when required

• Proficient in effectively communicating to a wide range of audiences, both written and oral

• Self-starter with strong work ethic

• Ability to evaluate and learn modern technologies quickly

• Strong data due diligence skills ensuring data accuracy and reliability

REQUIREMENTS

Minimum Requirements:

• Bachelor’s degree in computer science, Computer Engineering, Information Systems, or related discipline/experience with 4+ years of experience or master’s degree in computer science, Computer Engineering, Information Systems, or related discipline/experience with 3+ years

• Retail utility industry experience is required

• Local candidates only due to a 4-day in-office requirement

• Hands on experience in one of programming languages like SAS/R/Python is a must.

• 4+ years of professional experience in business intelligence and data analysis

• 3+ years of SQL experience.

• 3+ years of programming experience.

• Experience with dimensional modeling and improving data reliability and data quality.

• Good understanding of cloud technologies with 1+ years hands on experience in AWS and big data distributed ecosystems.

• 2+ year’s hands on experience in databricks and GCP

• 2+ year’s experience with any one of visualization tools like Tableau/Power BI.

• Good understanding of relational and non-relational databases

• Experience working with large datasets.

Preferred Qualifications:

• Gas or power industry experience with knowledge of the retail electricity market.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.

• Strong organizational skills and comfort interacting with different lines of business, IT, and senior management

• Comfortable with ambiguity; ability to work with incomplete data or open-ended questions, and translate into actionable items