Data Analyst – Data Integration

Techgene Solutions LLC; Oregon (WI); Remote; USD 65,000 - 100,000; Part time

Benefits offered by this job

Remote work

Job summary

Techgene Solutions LLC is seeking a mid-level Data Analyst to support data integration and enablement initiatives within a banking environment. The role focuses on documenting customer data, tracing data movement across systems, and identifying gaps to improve needs analysis and sales efforts.

The analyst will collaborate with business and technology teams to gather requirements, profile source systems, understand data models, and document data flows from onboarding to servicing and the data

Qualifications

• 2+ years of experience in data analysis, data integration, or a related field.
• Strong SQL skills for profiling, analysis, transformation, testing, and validation.
• Experience working with data warehouses and data modeling.
• Experience documenting data lineage, metadata, or data flows.
• Bachelor's degree in data, analytics, or related field, or equivalent.
• Ability to work remotely with availability from 9:00 AM to 4:00 PM Mountain Time.

Responsibilities

• Document data flows across banking systems and data warehouse.
• Profile source systems and understand data models to support onboarding, deposits, and loans.

Skills

SQL

Data profiling

Data warehousing

Data lineage

Requirements gathering

Data validation

Stakeholder communication

Remote work

Education

Bachelor's degree in data, analytics, business, or related field

Tools

Greenplum

PostgreSQL

Databricks

dbt

GCP

Power BI

Python

Job description

Data Analyst Data Integration & Enablement

4+ yrs mid-level

Location: Remote

Contract: 5 months

Job Description:

The Data Analyst will support data integration and enablement initiatives within a banking environment, combining data analysis and business analysis responsibilities. This role will focus on improving customer understanding and segmentation by documenting customer data, tracing how information moves across systems, and identifying gaps that could improve customer needs analysis and sales efforts.

The analyst will work with business and technology teams to gather requirements, profile source systems, understand data models, and document data flows across servicing applications. The initial focus will be on deposit and loan systems, including how customer information moves from onboarding and origination through servicing and into the data warehouse. The role will also involve documenting metadata, transformation rules, field mappings, and data lineage while developing test cases and validating data quality.

The ideal candidate will have strong SQL skills, experience working with data warehouses, and the ability to investigate data across multiple systems. Banking experience is strongly preferred, particularly with customer onboarding, financial data, servicing systems, or loan and deposit products. Candidates should be curious, assertive, detail-oriented, and comfortable asking questions, identifying inconsistencies, and working with stakeholders to understand business needs.

Required Skills:

• 2+ years of experience in data analysis, data integration, or a related field
• Strong SQL skills for data profiling, analysis, transformation, testing, and validation
• Experience working with data warehouses
• Experience documenting data lineage, field mappings, metadata, or data flows
• Experience profiling source systems and understanding data models
• Experience gathering and translating business requirements
• Experience developing and executing data validation or testing processes
• Experience working with multiple source systems and tracing data across applications
• Strong analytical and problem-solving skills
• Strong communication and documentation skills
• Bachelor's degree in data, analytics, business, or a related field, or equivalent combination of education and experience
• Ability to work remotely while maintaining availability from 9:00 AM to 4:00 PM Mountain Time

Bonus/Soft Skills:

• Banking or financial services experience
• Experience with customer onboarding or customer data
• Experience with deposit and loan servicing systems
• Experience with Greenplum or PostgreSQL
• Experience with Databricks
• Experience with dbt
• Experience with GCP
• Python experience
• Power BI exposure
• Experience with AI concepts or prompt engineering
• Experience leading projects or mentoring others
• Curious and investigative mindset
• Assertive and comfortable asking questions
• Strong attention to detail
• Ability to identify data gaps, inconsistencies, and relationships across systems
• Ability to collaborate effectively with business and technology stakeholders