Data Analytics Consultant

PTR Global; Charlotte (NC); On-site; USD 69,000 - 72,000; Full time

Job summary

PTR Global in Charlotte, NC is seeking a Data Analytics Consultant to support CAO data enablement. You will gather data use case requirements, perform data analysis, and develop scalable data models and relationships.

The role requires independent work, managing multiple workstreams, and partnering with business stakeholders to translate needs into actionable data specifications while upholding data governance standards.

Qualifications

• 4 years of analytics experience or equivalent demonstrated through work.
• Proficiency in MSSQL with data extraction, transformation and analysis.
• Experience with Alteryx and SSMS for data cleansing and transformation.
• Ability to define data sourcing and transform logic requirements.
• Experience with metadata management and data governance practices.
• Strong data profiling and root cause analysis for data quality issues.
• Able to work independently and manage multiple priorities.
• Excellent communication and stakeholder engagement skills.
• Comfortable navigating ambiguity and driving clarity in data environments.

Responsibilities

• Collaborate with stakeholders to gather requirements for data use cases.
• Design scalable data models and relationships emphasizing usability and accuracy.
• Identify requirements for data source integrity monitoring.
• Support database enhancements and logical data design solutions.
• Contribute to data management documentation and governance artifacts.
• Evaluate upstream system changes for data impact and recommendations.
• Translate business needs into actionable data specs.
• Partner with tech and governance groups to align with standards.

Skills

Analytics experience

MSSQL

SQL optimization

Alteryx

SSMS

Data governance

Data profiling

Stakeholder mgmt

Communication

Ambiguity management

Education

Bachelor's degree in a related field

Tools

Dataplex

BigQuery

SSIS

Jira

Job description

Position: Data Analytics Consultant

Location: Charlotte, North Carolina

Duration: Contract

Job ID: 179964

Job Overview:
We are seeking a highly skilled, self-driven, and results-oriented senior data analyst to support Chief Administrative Office (CAO) data enablement and management activities. This role involves gathering and writing data use case requirements, performing data analysis, and developing data relationship designs. The ideal candidate will be comfortable working independently, managing multiple workstreams, and engaging with business partners to define and deliver impactful and reusable data solutions. This role is critical to enabling CAO-wide data initiatives and will directly influence how data is leveraged across key business functions.

Responsibilities:

• Collaborate with business stakeholders to gather and refine requirements for data use cases.
• Design and architect scalable data models and data element relationships with a strong emphasis on usability, performance, and data accuracy.
• Identify and write requirements for data source integrity monitoring.
• Support database enhancement requests and contribute to logical data design solutions.
• Participate in data management documentation, including data lineage, data sharing agreements, and other metadata management.
• Evaluate upstream system of record changes for potential data impact and provide recommendations.
• Translate business needs into actionable data requirements and technical specifications.
• Partner with technology and data governance groups to ensure alignment with the team’s and enterprise data standards.

Qualifications:

• 4 years of Analytics experience or equivalent demonstrated through work, consulting experience, training, military experience, or education.
• Proficiency in MSSQL, including the ability to write, read, and optimize queries for data extraction, transformation, and analysis.
• Experience in data cleansing, validation, and transformation logic using Alteryx and SSMS.
• Ability to define clear data sourcing and transform logic requirements and database/table/column specifications.
• Experience with metadata management and data governance practices.
• Proficiency in data profiling and root cause analysis for data quality issues.
• Proven ability to work independently and manage multiple priorities.
• Strong communication and stakeholder engagement skills.
• Comfortable navigating ambiguity and driving clarity in complex data environments.

Preferred Skills:

• Experience with Google Data Cloud stack (Dataplex, BigQuery, etc.).
• Familiarity with SSIS packages and jobs.
• Familiarity with Agile processes and Atlassian software (Jira).

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br
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Pay Range: $50 – $52

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at 1 . To report any concerns, please email us at

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.