Senior Data Analyst - Application Modernization

amer technology, inc. United State
Remote
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AI Summary

The Data Analyst will play a critical role in data migration, integration, and analysis to support the transformation of the Louisiana Department of Wildlife & Fisheries' legacy systems. This includes coordinating and integrating data from multiple internal and external sources, performing data profiling, validation, and discovery, and developing and maintaining data documentation.

Key Highlights
Data migration and integration
Data analysis and reporting
Data documentation and maintenance
Key Responsibilities
Coordinate and integrate data from multiple internal and external sources
Perform data profiling, validation, and discovery to assess data quality
Clean, transform, and standardize data for migration and reporting
Gather, analyze, and translate business requirements into data solutions
Develop and maintain data documentation, including data dictionaries and mapping documents
Support data modeling and design for modernized systems
Write and optimize SQL queries to extract, manipulate, and validate data
Maintain and update existing dashboards and reports
Collaborate with cross-functional teams including developers, business analysts, and stakeholders
Assist in data migration and integration efforts (legacy → modern systems)
Ensure data accuracy, consistency, and compliance with standards
Technical Skills Required
SQL Data Migration & Integration Data Profiling & Cleansing
Benefits & Perks
100% remote
Long-term contract (07/01/2026 – 06/30/2029)
Nice to Have
Python
R
Tableau
Power BI
Looker
ETL tools (Informatica, SSIS, etc.)

Job Description


Job Title: Data Analyst(5+State projects exp.)

Agency: WLF (Wildlife & Fisheries)

Project: LDWF Application Modernization

Location: 100% Remote

Duration: 07/01/2026 – 06/30/2029 (Long-term contract)

Project Overview

The Louisiana Office of Technology Services (OTS) is leading a large-scale Application Modernization initiative for the Louisiana Department of Wildlife & Fisheries (LDWF).

This effort focuses on:

  • Migrating legacy systems to modern platforms
  • Improving data accessibility and quality
  • Standardizing enterprise data architecture
  • Supporting long-term scalability and operational efficiency

The Data Analyst will play a critical role in data migration, integration, and analysis to support this transformation.

Key Responsibilities

  • Coordinate and integrate data from multiple internal and external sources
  • Perform data profiling, validation, and discovery to assess data quality
  • Clean, transform, and standardize data for migration and reporting
  • Gather, analyze, and translate business requirements into data solutions
  • Develop and maintain data documentation, including data dictionaries and mapping documents
  • Support data modeling and design for modernized systems
  • Write and optimize SQL queries to extract, manipulate, and validate data
  • Maintain and update existing dashboards and reports
  • Collaborate with cross-functional teams including developers, business analysts, and stakeholders
  • Assist in data migration and integration efforts (legacy → modern systems)
  • Ensure data accuracy, consistency, and compliance with standards

Required Qualifications (Mandatory)

  • Minimum 12+ years of experience in data migration or data integration projects
  • 10+ experience with SQL (query writing, joins, data extraction)
  • Experience with:
  • Data cleaning and transformation
  • Data profiling and quality analysis
  • Basic reporting and dashboard maintenance
  • Ability to work with relational databases
  • Strong analytical and problem-solving skills
  • Experience interpreting and documenting business requirements

Preferred Qualifications (Nice to Have)

  • 6+Experience with Python or R for data analysis
  • Hands-on 8+ experience with data visualization tools such as Tableau, Power BI, or Looker
  • Experience completing full lifecycle data migration projects (legacy to cloud or modern systems)
  • Familiarity with ETL processes and tools
  • Experience working in Agile/Scrum environments
  • Experience collaborating within a development team

Technical Skills

Core Skills:

  • SQL (advanced querying, joins, aggregations)
  • Data Migration & Integration
  • Data Profiling & Cleansing

Optional / Plus Skills:

  • Python / R
  • Tableau / Power BI / Looker
  • ETL tools (Informatica, SSIS, etc.)


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