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Data Optimisation Jobs (NOW HIRING)

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Ability to implement effective data quality assurance process, data optimization, and documentation procedures * Experienced and knowledgeable in types of map services, publishing map services, and ...

UpClear

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

UpClear

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

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Data Optimisation information

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

More about Data Optimisation jobs
What cities are hiring for Data Optimisation jobs? Cities with the most Data Optimisation job openings:
What states have the most Data Optimisation jobs? States with the most job openings for Data Optimisation jobs include:
What job categories do people searching Data Optimisation jobs look for? The top searched job categories for Data Optimisation jobs are:
Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Modeler (Data Architect)

Data Intelligence LLC

Quantico, VA • On-site

Full-time

Re-posted 18 days ago

Job description

Data Intelligence LLC
Job Openings >> Senior Data Modeler (Data Architect)
Senior Data Modeler (Data Architect)
Summary
Title: Senior Data Modeler (Data Architect) ID: 1593 Location: Quantico, VA
More about this job >
Description

Data Intelligence is seeking an experienced Senior Data Modeler / Data Architect to support mission-critical operations at NCIS Headquarters in Quantico, VA. This role focuses on designing, managing, and optimizing enterprise data models and architectures to support advanced analytics and operational requirements. The ideal candidate will bridge business needs and technical implementation, ensuring data is structured, accessible, and aligned with mission objectives.

Key Responsibilities

  • Develop and maintain conceptual, logical, and physical data models aligned to mission and business requirements
  • Collaborate with IT teams, data architects, and stakeholders to define and refine data requirements
  • Translate business needs into scalable and efficient data architectures
  • Review data processing and data management methods to ensure efficiency, integrity, and performance
  • Establish and maintain official data definitions, standards, and data lineage documentation
  • Support database design, implementation, and optimization efforts
  • Assist in developing strategies for data acquisition, storage, archival, and recovery
  • Ensure data sets and applications function reliably and meet operational needs
  • Provide technical oversight and mentorship to junior developers and data staff
  • Troubleshoot data-related issues and provide system support as needed

Required Qualifications

  • Bachelor's degree in Computer Science or related field
  • Minimum 10 years of professional experience in data modeling, data architecture, or related disciplines
  • Strong experience developing conceptual, logical, and physical data models
  • Experience working with enterprise data environments and large-scale data systems
  • Ability to translate complex business requirements into technical data solutions
  • Experience with data governance, data standards, and metadata management
  • Strong understanding of database design, implementation, and performance optimization
  • Experience supporting data lifecycle processes including ingestion, storage, archival, and recovery
  • Strong analytical, problem-solving, and troubleshooting skills
  • Excellent communication and collaboration abilities across technical and non-technical teams
  • Active Top Secret / SCI clearance
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