Data Analyst

Asset Data Analyst

Location: Birmingham, AL (Hybrid)

Position Overview

We are seeking an entry-level Asset Data Analyst to support enterprise asset data management and digital twin initiatives. This role will focus on reviewing, validating, organizing, tagging, and maintaining utility asset information to improve data quality, consistency, and accessibility across business systems. The ideal candidate is detail-oriented, comfortable working with large datasets and visual asset information, and interested in data analytics, business processes, digital transformation, and emerging technologies. This individual will play a key role in supporting a large-scale asset digitization effort by validating and tagging asset data derived from field scans, imagery, video walkthroughs, and enterprise systems. The work performed will directly support reporting, analytics, operational initiatives, digital twin development, and future AI-driven capabilities.

Responsibilities

• Review, validate, update, and maintain asset-related information within enterprise applications.
• Process and maintain large volumes of asset data while ensuring accuracy and completeness.
• Perform asset tagging and data validation activities using scanned asset information, imagery, and video walkthroughs.
• Capture, validate, and associate equipment nameplate information with corresponding asset records.
• Identify and resolve data discrepancies, inconsistencies, and missing information.
• Perform data quality checks and support ongoing data cleansing initiatives.
• Assist with standardizing asset records, naming conventions, metadata, and digital asset classifications.
• Support digital twin initiatives by organizing and maintaining asset metadata and related documentation.
• Work through high-volume asset tagging backlogs while maintaining quality and productivity standards.
• Collaborate with business stakeholders to gather, verify, and document data requirements.
• Support asset management, reporting, analytics, and infrastructure digitization initiatives through accurate data maintenance.
• Develop and maintain spreadsheets, reports, dashboards, and data tracking tools.
• Track asset tagging progress and provide status reporting on completed work, backlog volume, and data quality metrics.
• Assist in preparing structured datasets that may support future machine learning and AI model development efforts.
• Collaborate with engineering, operations, GIS, and technology teams on asset modernization and digital transformation initiatives.
• Document processes and provide recommendations for improving data quality, efficiency, and scalability.
• Participate in cross-functional projects related to data management, digital twin programs, and enterprise modernization efforts.

Required Qualifications

• Bachelor's degree in Data Analytics, Information Systems, Business, Mathematics, Engineering, GIS, Computer Science, or a related field.
• 0-2 years of experience in data analysis, data management, reporting, GIS, asset management, or a related discipline.
• Strong attention to detail and commitment to data accuracy.
• Proficiency with Microsoft Excel, including sorting, filtering, lookups, and data analysis.
• Strong organizational and problem-solving skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Excellent written and verbal communication skills.
• Ability to review and interpret data from multiple sources, including spreadsheets, images, videos, and enterprise applications.

Preferred Qualifications

• Experience with Power BI, Tableau, SQL, Databricks, or other reporting and analytics tools.
• Exposure to data governance, data quality, metadata management, or master data management concepts.
• Experience working with large datasets and performing data validation activities.
• Familiarity with utility operations, asset management, infrastructure, engineering, GIS, or digital twin initiatives.
• Experience reviewing imagery, scanned documents, video content, or geospatial data for data capture and validation purposes.
• Exposure to AI, machine learning, data labeling, or training data preparation concepts.
• Understanding of relational databases and data structures.

Knowledge, Skills & Abilities

• Strong analytical mindset with a passion for working with data.
• Ability to identify trends, discrepancies, and opportunities for improvement.
• Strong attention to detail when reviewing both structured data and visual asset information.
• Ability to interpret technical equipment information from images, videos, engineering drawings, and supporting documentation.
• Comfortable working on repetitive, high-volume data tagging activities while maintaining accuracy.
• Self-starter capable of working independently and collaboratively.
• Strong critical thinking and troubleshooting abilities.
• Commitment to accuracy, consistency, and continuous improvement.
• Interest in emerging technologies including digital twins, AI, data modernization, and utility innovation.
• Ability to effectively communicate findings and collaborate with technical and non-technical stakeholders.

What You'll Gain

• Hands-on experience supporting enterprise digital twin and asset digitization initiatives.
• Exposure to utility operations, asset management, and infrastructure modernization programs.
• Opportunity to work alongside engineering, operations, GIS, analytics, and technology teams.
• Experience supporting AI-ready data preparation and enterprise data quality initiatives.
• Career growth opportunities within data analytics, digital transformation, asset management, GIS, business intelligence, and emerging technologies.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

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Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.

Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

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