The Data Analytics Analyst 1 will serve in a key support role within the Operations Data Analytics Department.
This position is responsible for supporting the onboarding of new generation assets and updating existing assets within enterprise systems for current and future construction projects, acquisitions, modernization initiatives, and large-scale retrofit projects.
Generation assets may include:
-
Solar generation
-
Battery Energy Storage Systems (BESS)
-
Combined Cycle (CC) units
-
Combustion Turbine (CT) units
-
Hydroelectric modernization projects
-
Environmental retrofit projects
-
Other generation assets and capital projects
The successful candidate will participate in project teams, gather and analyze equipment-related data, verify information with subject matter experts, and ensure accurate asset information is incorporated into Southern Company’s work management systems.
This role combines data analytics, technical data management, field verification, business process support, and asset management generation.
- Support the onboarding of new generation assets into enterprise systems.
-
Update existing generation assets associated with construction projects, acquisitions, modernization activities, and plant upgrades.
-
Gather equipment-related information from engineering documents, project teams, plant personnel, and subject matter experts.
-
Validate asset information before entry into work management systems.
-
Assist with developing appropriate equipment hierarchies.
-
Ensure assets are accurately categorized within systems and subsystems.
-
Support data readiness prior to commercial operation of new generation assets.
- Create, review, and maintain equipment records.
-
Support development and maintenance of:
- Equipment hierarchies
-
Preventive maintenance activities
-
Job plans
-
Inventory information
-
Asset-related technical data
- Review equipment information for completeness, accuracy, and consistency.
-
Work with plant representatives and project teams to resolve data discrepancies.
-
Ensure accurate equipment identification and descriptions.
- Support adherence to the D-11 Southern Company Equipment Identification and Description Standard.
-
Provide guidance regarding appropriate equipment systems and subsystems.
-
Assist project and plant teams with proper equipment classification.
-
Promote standardization and consistency across equipment records.
-
Help ensure data entered into enterprise systems aligns with established Southern Company standards.
- Perform daily analysis of technical and operational data.
-
Analyze data from multiple sources to identify inconsistencies, patterns, trends, and opportunities.
-
Assist with data mining and data validation activities.
-
Develop insights that support operations, maintenance, and project decision-making.
-
Compare similar generating units to identify differences and opportunities for improvement.
-
Assist in identifying repeat issues or failures through data analysis.
-
Apply lessons learned and best practices across the generation fleet.
- Support data extraction, transformation, and loading (ETL) processes.
-
Work with multiple data sources and databases.
-
Prepare and transform data for analysis and reporting.
-
Assist with integrating data into work management and analytical systems.
-
Validate data quality throughout the integration process.
-
Support process improvements that enhance data reliability and accessibility.
- Support data entry and maintenance within Maximo.
-
Assist with developing equipment hierarchies within the work management system.
-
Review equipment and maintenance information prior to system entry.
-
Support plants and project teams with Maximo-related data requirements.
-
Help ensure maintenance strategies are accurately incorporated into the system.
-
Assist with identifying and resolving asset-data issues.
Work with project managers, plant personnel, engineers, and subject matter experts to:
-
Identify appropriate maintenance strategies.
-
Develop or review preventive maintenance activities.
-
Create or review job plans.
-
Support inventory-data development.
-
Ensure appropriate maintenance information is available prior to plant commercial operation.
-
Assist plants with maintaining consistent maintenance-data practices.
This position requires significant interaction with Southern Company generating facilities.
Responsibilities may include:
-
Visiting generating plants.
-
Performing equipment walk-downs.
-
Verifying asset and equipment information in the field.
-
Comparing field conditions with technical documentation.
-
Working directly with plant personnel.
-
Assisting with plant questions and data concerns.
-
Gathering information necessary to update enterprise systems.
-
Supporting project and operational teams during site visits.
Candidates must be comfortable working in industrial generation environments.
- Approximately 1–3 years of relevant data analytics, engineering, technical data, asset management, or related professional experience.
-
Experience working with large datasets and multiple data sources.
-
Experience analyzing and presenting technical or business data.
-
Demonstrated ability to identify, evaluate, and resolve data-related issues.
-
Ability to organize and manage multiple assignments simultaneously.
A Bachelor of Science degree is preferred in:
-
Engineering
-
Business
-
Computer Science
-
Data Science
-
Analytics
-
Information Systems
-
Mathematics
-
Statistics
-
Related technical discipline
Appropriate professional experience may be considered in lieu of a degree.
Candidates should possess experience or working knowledge in the following areas:
- Python
-
R
-
SQL
-
Statistical analysis
-
Data transformation
-
Data cleansing
-
Data mining
-
Data visualization
Experience with one or more of the following:
-
Tableau
-
Power BI
-
Matplotlib
-
Seaborn
-
Microsoft Reporting Services
-
Comparable reporting or visualization platforms
- ETL processes
-
Data extraction
-
Data transformation
-
Data loading
-
Multi-source data integration
-
Database querying
-
Data-quality validation
Experience with or exposure to:
-
Maximo
-
Microsoft Office
-
AI-enabled analytical tools
-
Enterprise asset-management systems
-
Reporting and analytics applications
The successful candidate should demonstrate knowledge of:
-
Statistical analysis
-
Hypothesis testing
-
Data validation
-
Trend analysis
-
Predictive modeling concepts
-
Machine learning fundamentals
-
Data-quality analysis
-
Business and technical reporting
Experience applying machine learning techniques to predictive modeling is beneficial.
The successful candidate should demonstrate:
-
Strong analytical and problem-solving skills.
-
Ability to work with technical and operational data.
-
Excellent attention to detail.
-
Ability to identify inconsistencies and errors within large datasets.
-
Strong organizational skills.
-
Ability to manage multiple projects and priorities simultaneously.
-
Ability to distinguish urgent issues from matters that allow additional time for resolution.
-
Strong written and verbal communication skills.
-
Ability to work collaboratively with project managers, engineers, plant personnel, and technical specialists.
-
Ability to work independently with limited supervision.
-
Ability to quickly build effective working relationships.
-
Strong customer-service orientation.
-
Questioning attitude and willingness to validate information.
-
Commitment to continuous improvement.
Additional consideration will be given to candidates with experience in:
-
Electric utility operations
-
Power generation
-
Generation plant operations
-
Asset management
-
Enterprise work management
-
Maximo
-
Tableau
-
Power BI
-
Microsoft Reporting Services
-
AI-assisted analytics
-
Equipment hierarchy development
-
Preventive maintenance programs
-
Reliability or maintenance data
-
Generation construction projects
-
Renewable energy projects
-
Battery Energy Storage Systems
-
Gas-fired generation
-
Hydroelectric generation
Successful candidates should demonstrate Southern Company values, including:
-
Safety First
-
Intentional Inclusion
-
Act With Integrity
-
Superior Performance
Candidates should also demonstrate:
-
Teamwork and collaboration.
-
Self-motivation.
-
Results orientation.
-
Strong work ethic.
-
Goal-focused performance.
-
Strong organizational skills.
-
Excellent communication.
-
Attention to minute details.
-
Continuous improvement mindset.
-
Willingness to ask questions and verify information.
-
Accountability for assigned responsibilities.
This position requires significant travel throughout the Southern Company Generation fleet.
Candidates must be willing and able to:
-
Travel approximately 50% per year.
-
Travel to generating plants and project sites.
-
Participate in overnight travel.
-
Conduct field walk-downs of generating equipment.
-
Work with plant personnel in active industrial environments.
-
Travel based on project and operational requirements.
Because this position includes generating-plant field support, candidates must be able to:
-
Work at a computer workstation for extended periods.
-
Stand and walk for extended periods during plant visits.
-
Navigate generating facilities and industrial environments.
-
Walk across uneven surfaces.
-
Climb stairs and access plant areas as necessary.
-
Perform equipment walk-downs.
-
Wear required Personal Protective Equipment (PPE).
-
Work in varying indoor and outdoor environmental conditions.
-
Travel by vehicle or commercial transportation as required.
-
Maintain regular and reliable attendance.
Company: BLOC Resources
Client: Southern Company
Location: 3535 Colonnade Parkway, Birmingham, AL 35243
Pay Rate: $32.00 – $36.55 per hour, based on experience and qualifications
Employment Type: Contract / Supplemental Workforce
Work Location: Birmingham, AL
Travel: Up to approximately 50%, including overnight travel to generating plants
Relocation: Candidate must currently reside within commuting distance of Birmingham, AL or be willing to relocate at their own expense
BLOC Resources is a workforce solutions provider connecting highly qualified professionals with opportunities across the utility, energy, engineering, technology, data analytics, project management, and infrastructure industries.
We are currently seeking a Data Analytics Analyst 1 to support Southern Company’s Operations Data Analytics organization in Birmingham, Alabama.
This position is ideal for an early-career data professional with strong analytical, technical, and problem-solving skills who is interested in applying data analytics within electric generation operations.
The successful candidate will support the onboarding and maintenance of generation assets, data standardization, equipment hierarchies, maintenance strategies, technical analysis, and work-management system data across Southern Company’s generation fleet.
The Data Analytics Analyst 1 will serve in a key support role within the Operations Data Analytics Department.
This position is responsible for supporting the onboarding of new generation assets and updating existing assets within enterprise systems for current and future construction projects, acquisitions, modernization initiatives, and large-scale retrofit projects.
Generation assets may include:
-
Solar generation
-
Battery Energy Storage Systems (BESS)
-
Combined Cycle (CC) units
-
Combustion Turbine (CT) units
-
Hydroelectric modernization projects
-
Environmental retrofit projects
-
Other generation assets and capital projects
The successful candidate will participate in project teams, gather and analyze equipment-related data, verify information with subject matter experts, and ensure accurate asset information is incorporated into Southern Company’s work management systems.
This role combines **data analytics, technical data management, field verification, business process support, and **asset management generation.
-
Support the onboarding of new generation assets into enterprise systems.
-
Update existing generation assets associated with construction projects, acquisitions, modernization activities, and plant upgrades.
-
Gather equipment-related information from engineering documents, project teams, plant personnel, and subject matter experts.
-
Validate asset information before entry into work management systems.
-
Assist with developing appropriate equipment hierarchies.
-
Ensure assets are accurately categorized within systems and subsystems.
-
Support data readiness prior to commercial operation of new generation assets.
-
Create, review, and maintain equipment records.
-
Support development and maintenance of:
Review equipment information for completeness, accuracy, and consistency.
-
Work with plant representatives and project teams to resolve data discrepancies.
-
Ensure accurate equipment identification and descriptions.
-
Support adherence to the D-11 Southern Company Equipment Identification and Description Standard.
-
Provide guidance regarding appropriate equipment systems and subsystems.
-
Assist project and plant teams with proper equipment classification.
-
Promote standardization and consistency across equipment records.
-
Help ensure data entered into enterprise systems aligns with established Southern Company standards.
-
Perform daily analysis of technical and operational data.
-
Analyze data from multiple sources to identify inconsistencies, patterns, trends, and opportunities.
-
Assist with data mining and data validation activities.
-
Develop insights that support operations, maintenance, and project decision-making.
-
Compare similar generating units to identify differences and opportunities for improvement.
-
Assist in identifying repeat issues or failures through data analysis.
-
Apply lessons learned and best practices across the generation fleet.
-
Support data extraction, transformation, and loading (ETL) processes.
-
Work with multiple data sources and databases.
-
Prepare and transform data for analysis and reporting.
-
Assist with integrating data into work management and analytical systems.
-
Validate data quality throughout the integration process.
-
Support process improvements that enhance data reliability and accessibility.
-
Support data entry and maintenance within Maximo.
-
Assist with developing equipment hierarchies within the work management system.
-
Review equipment and maintenance information prior to system entry.
-
Support plants and project teams with Maximo-related data requirements.
-
Help ensure maintenance strategies are accurately incorporated into the system.
-
Assist with identifying and resolving asset-data issues.
Work with project managers, plant personnel, engineers, and subject matter experts to:
-
Identify appropriate maintenance strategies.
-
Develop or review preventive maintenance activities.
-
Create or review job plans.
-
Support inventory-data development.
-
Ensure appropriate maintenance information is available prior to plant commercial operation.
-
Assist plants with maintaining consistent maintenance-data practices.
This position requires significant interaction with Southern Company generating facilities.
Responsibilities may include:
-
Visiting generating plants.
-
Performing equipment walk-downs.
-
Verifying asset and equipment information in the field.
-
Comparing field conditions with technical documentation.
-
Working directly with plant personnel.
-
Assisting with plant questions and data concerns.
-
Gathering information necessary to update enterprise systems.
-
Supporting project and operational teams during site visits.
Candidates must be comfortable working in industrial generation environments.
-
Approximately 1–3 years of relevant data analytics, engineering, technical data, asset management, or related professional experience.
-
Experience working with large datasets and multiple data sources.
-
Experience analyzing and presenting technical or business data.
-
Demonstrated ability to identify, evaluate, and resolve data-related issues.
-
Ability to organize and manage multiple assignments simultaneously.
A Bachelor of Science degree is preferred in:
Appropriate professional experience may be considered in lieu of a degree.
Candidates should possess experience or working knowledge in the following areas:
-
Python
-
R
-
SQL
-
Statistical analysis
-
Data transformation
-
Data cleansing
-
Data mining
-
Data visualization
Experience with one or more of the following:
Experience with or exposure to:
-
Maximo
-
Microsoft Office
-
AI-enabled analytical tools
-
Enterprise asset-management systems
-
Reporting and analytics applications
The successful candidate should demonstrate knowledge of:
-
Statistical analysis
-
Hypothesis testing
-
Data validation
-
Trend analysis
-
Predictive modeling concepts
-
Machine learning fundamentals
-
Data-quality analysis
-
Business and technical reporting
Experience applying machine learning techniques to predictive modeling is beneficial.
The successful candidate should demonstrate:
-
Strong analytical and problem-solving skills.
-
Ability to work with technical and operational data.
-
Excellent attention to detail.
-
Ability to identify inconsistencies and errors within large datasets.
-
Strong organizational skills.
-
Ability to manage multiple projects and priorities simultaneously.
-
Ability to distinguish urgent issues from matters that allow additional time for resolution.
-
Strong written and verbal communication skills.
-
Ability to work collaboratively with project managers, engineers, plant personnel, and technical specialists.
-
Ability to work independently with limited supervision.
-
Ability to quickly build effective working relationships.
-
Strong customer-service orientation.
-
Questioning attitude and willingness to validate information.
-
Commitment to continuous improvement.
Additional consideration will be given to candidates with experience in:
-
Electric utility operations
-
Power generation
-
Generation plant operations
-
Asset management
-
Enterprise work management
-
Maximo
-
Tableau
-
Power BI
-
Microsoft Reporting Services
-
AI-assisted analytics
-
Equipment hierarchy development
-
Preventive maintenance programs
-
Reliability or maintenance data
-
Generation construction projects
-
Renewable energy projects
-
Battery Energy Storage Systems
-
Gas-fired generation
-
Hydroelectric generation
Successful candidates should demonstrate Southern Company values, including:
-
Safety First
-
Intentional Inclusion
-
Act With Integrity
-
Superior Performance
Candidates should also demonstrate:
-
Teamwork and collaboration.
-
Self-motivation.
-
Results orientation.
-
Strong work ethic.
-
Goal-focused performance.
-
Strong organizational skills.
-
Excellent communication.
-
Attention to minute details.
-
Continuous improvement mindset.
-
Willingness to ask questions and verify information.
-
Accountability for assigned responsibilities.
This position requires significant travel throughout the Southern Company Generation fleet.
Candidates must be willing and able to:
-
Travel approximately 50% per year.
-
Travel to generating plants and project sites.
-
Participate in overnight travel.
-
Conduct field walk-downs of generating equipment.
-
Work with plant personnel in active industrial environments.
-
Travel based on project and operational requirements.
Because this position includes generating-plant field support, candidates must be able to:
-
Work at a computer workstation for extended periods.
-
Stand and walk for extended periods during plant visits.
-
Navigate generating facilities and industrial environments.
-
Walk across uneven surfaces.
-
Climb stairs and access plant areas as necessary.
-
Perform equipment walk-downs.
-
Wear required Personal Protective Equipment (PPE).
-
Work in varying indoor and outdoor environmental conditions.
-
Travel by vehicle or commercial transportation as required.
-
Maintain regular and reliable attendance.
This position is based at:
3535 Colonnade Parkway
Birmingham, AL 35243
Candidates must either:
OR
The ability to regularly report to the Birmingham work location and travel to Southern Company generating facilities is a requirement of this assignment.
Final compensation will be determined based on the candidate’s data analytics experience, technical capabilities, education, utility or generation experience, Maximo knowledge, programming proficiency, and overall qualifications.
-
Access to contractor support resources through BLOC Resources, including onboarding assistance and dedicated recruiter support.
-
Opportunity to gain hands-on experience supporting Southern Company generation assets and Operations Data Analytics.
-
Exposure to solar, BESS, natural gas, hydroelectric, environmental, and large-scale generation projects.
-
Opportunity to develop expertise with Maximo, data analytics, asset management, equipment hierarchy development, and maintenance strategies.
-
Experience collaborating with engineers, project managers, plant personnel, and technical subject matter experts.
-
Exposure to enterprise-scale data management and generation fleet standardization.
-
Potential for contract extension or long-term placement based on performance and business needs.
-
Ongoing support from the BLOC Resources recruiting and operations team throughout the assignment.
This opportunity provides an early-career data professional with a unique combination of data analytics, power generation, asset management, field operations, and technology.
As a Data Analytics Analyst 1, you will have the opportunity to work with data supporting real generation assets while gaining exposure to the complete lifecycle of generation projects—from construction and acquisition through commercial operation and ongoing maintenance.
The role offers particularly valuable experience for professionals interested in energy analytics, asset management, utility operations, reliability, generation technology, and enterprise data systems.
Qualified candidates are encouraged to submit an updated resume highlighting experience with:
-
Python, R, and/or SQL
-
Data analytics and visualization
-
ETL and data integration
-
Tableau or Power BI
-
Maximo
-
Statistical analysis
-
Asset or equipment data
-
Utility or generation operations
-
Technical project support
-
Data-quality management
Candidates should clearly indicate their ability to commute to Birmingham, AL and travel up to approximately 50% to Southern Company generating facilities.
Selected candidates will be contacted by a BLOC Resources recruiter regarding the next steps in the hiring process.
