Data Analyst – Data Integration & Enablement – 26-03301

VLink, Inc.; Salt Lake City (UT); Hybrid; USD 90,000 - 96,000; Part time

Job summary

VLink, Inc. is seeking a Data Analyst – Data Integration & Enablement to join our team for a 6–12 month contract in Salt Lake City.

You will support data integration across EDW, Lake, Mesh, and ODS, using SQL and Python to profile data, validate quality, and define mappings for downstream reporting and analytics. You will collaborate with business stakeholders, data engineers, and analysts to deliver reliable data foundations, participate in data modernization initiatives, and help enable

Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, or a related discipline.
• 2+ years of experience in data analysis, data integration, business intelligence, or a related data-focused role.
• Strong hands-on SQL skills with complex queries, joins, aggregations, and data validation.
• Proficiency in Python for data analysis, automation, and data quality validation.
• Experience documenting data lineage, mappings, and transformation logic across enterprise environments.
• Knowledge of ETL/ELT concepts, data reconciliation, and data quality testing.

Responsibilities

• Translate business needs into clear data integration, reporting, and analytics requirements.
• Profile and analyze source systems, data structures, and business rules using SQL and Python.
• Document source-to-target data flows supporting EDW, Data Lake, Data Mesh, and ODS.
• Define and maintain source-to-target mappings, transformation rules, and metadata to improve data transparency and regulatory compliance.
• Develop data validation, testing activities, and data quality controls; implement automated profiling and reconciliation.
• Collaborate with data engineers, architects, and analysts to troubleshoot data issues and ensure delivery meets requirements.
• Contribute to data modernization initiatives using dbt, Databricks on GCP, and AI-enabled data solutions.
• Promote data quality practices and share knowledge across the team.

Skills

SQL proficiency

Python for data analysis

Data modeling

Data quality & testing

Requirements gathering

Stakeholder communication

Education

Bachelor's degree

Tools

Databricks

dbt

GCP

Data Mesh

Job description

Data Analyst – Data Integration & Enablement #26-03301

• Required Experience:
• Location: Salt Lake City, UTAH, US
• Posted: Sep 16 2026
• Duration: Contract

Job Title: Data Analyst – Data Integration & Enablement

Location: Salt Lake City, UT | Onsite

Employment Type: Contract

Duration: 6-12 months

Pay: $65-$70/hr

About:

VLink, founded in 2006, is a leading global provider of software engineering services with next-gen technologies and best-in-class talent. Our Headquarters are in the U.S, and we have offices in 7+ countries from North America-Europe to APAC, with expansion plans in the Middle East. With over 1,000 employees working globally, VLink has helped SMBs, and large enterprises achieve their business goals, and gained the trust of Fortune-250 companies. VLink is 'Great Place to Work® CertifiedTM' and has been a consistent winner as- Best Places to Work in CT. Trust, collaboration, and accountability are the three elements that are at the core of VLink's work culture. We value our professionals, providing comprehensive benefits and the opportunity for growth.

Job Description:

Our client is seeking a motivated Data Analyst – Data Integration & Enablement to join our team supporting a major financial services client. In this role, you will help build and strengthen the trusted data foundation that supports financial and regulatory reporting, enterprise analytics, and data-driven innovation.This is an excellent opportunity for a data professional who enjoys working at the intersection of business, data, and technology. You will use SQL and Python to analyze complex datasets, profile source systems, define data integration requirements, validate data quality, and help ensure information is accurate, traceable, and ready for downstream reporting and analytics.You will collaborate with business stakeholders, data engineers, architects, and analysts to integrate data across modern enterprise platforms, including the Enterprise Data Warehouse, Data Lake, Data Mesh, and Operational Data Store (ODS). You will also contribute to data modernization initiatives and gain exposure to technologies such as dbt, Databricks, Google Cloud Platform (GCP), and AI/GenAI-enabled solutions.

Your future duties and responsibilities:

Partner with business and technology stakeholders to understand business needs and translate them into clear, actionable data integration, reporting, and analytics requirements.

Profile and analyze source systems, data structures, and business rules using SQL and Python to identify data relationships, anomalies, quality issues, and integration requirements.

Analyze and document source-to-target data flows supporting the Enterprise Data Warehouse, Data Lake, Data Mesh, ODS, and downstream reporting and analytics solutions.

Define and maintain source-to-target mappings, transformation rules, metadata, business definitions, and data lineage to improve data transparency, traceability, and regulatory compliance.

Develop and execute comprehensive data validation and testing activities, including data reconciliation, transformation validation, test cases, and data quality controls.

Develop and enhance automated processes using SQL, Python, and modern data technologies to improve the efficiency of data profiling, validation, reconciliation, and reporting.

Collaborate with data engineers, architects, business analysts, and end users to troubleshoot data issues, perform root cause analysis, and ensure delivered solutions meet business and functional requirements.

Contribute to data modernization and continuous improvement initiatives using technologies and approaches such as dbt, Databricks on GCP, Data Mesh, and AI/GenAI.

Promote data quality and documentation best practices, share knowledge across the team, and provide guidance or mentorship to team members as appropriate.

Required qualifications to be successful in this role:

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, or a related discipline, along with 2+ years of experience in data analysis, data integration, business intelligence, or a related data-focused role.

Strong hands-on SQL skills, including complex queries, joins, aggregations, data profiling, transformation analysis, reconciliation, and data validation.

Working proficiency in Python for data analysis, automation, data quality validation, and data integration activities.

Experience analyzing source and target data models and documenting source-to-target mappings, transformation logic, metadata, data lineage, and business rules.

Solid understanding of data quality, data testing, reconciliation, ETL/ELT, data integration, and troubleshooting within enterprise data environments.

Strong analytical and problem-solving skills, with the ability to investigate complex data issues, identify root causes, and recommend solutions.

Strong requirements gathering, documentation, and stakeholder communication skills, with the ability to translate business needs into actionable data requirements.

Ability to collaborate effectively with both business and technology teams in a complex enterprise environment.

Desired Qualifications:

Exposure to modern data platforms and technologies such as Databricks, dbt, GCP, Enterprise Data Warehouses, Data Lakes, Data Mesh, and Operational Data Stores (ODS).

Experience supporting data environments within financial services, banking, regulatory reporting, or another highly regulated industry.

Experience coordinating project activities, supporting workstreams, or mentoring team members.

Exposure to AI/GenAI concepts, AI-enabled data solutions, or prompt engineering.

Employment Practices:

VLink is an equal opportunity employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Employment is contingent upon successful completion of a background check. This job application process may use AI-powered tools to assist in screening and evaluating applications based on objective, job-related qualifications. AI is used solely to support the recruitment process and all final hiring decisions are made exclusively by our human recruitment team. Applicant information will be handled in accordance with VLink's privacy policy.

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