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Data Optimisation Jobs in Idaho (NOW HIRING)

This includes establishing standards and optimizing our data engineering, data flow and data collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and ...

Data Engineer

Eagle, ID · On-site

$109K - $131K/yr

Optimization of existing SQL queries to improve reliability and performance. * Develop and execute testing strategies to ensure high quality warehouse data * Provide documentation, training, and ...

Data Engineer

Eagle, ID · On-site

$109K - $131K/yr

Optimization of existing SQL queries to improve reliability and performance. * Develop and execute testing strategies to ensure high quality warehouse data * Provide documentation, training, and ...

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Demonstrated proficiency in SQL , including joins, aggregations, subqueries, and performance optimization. * Working knowledge of Python for data analysis. * Experience working with relational ...

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Demonstrated proficiency in SQL , including joins, aggregations, subqueries, and performance optimization. * Working knowledge of Python for data analysis. * Experience working with relational ...

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Demonstrated proficiency in SQL , including joins, aggregations, subqueries, and performance optimization. * Working knowledge of Python for data analysis. * Experience working with relational ...

Sr Principal Data Architect

Boise, ID · On-site

$146K - $220K/yr

Establish data performance, cost optimization, and security standards across the Snowflake environment. * Guide integration with Power BI and other analytics platforms for efficient data delivery.

Develop data pipelines and analytical workflows from data collection to visualization using SQL ... Support automation and optimization initiatives by applying machine learning and advanced analytics ...

Develop data pipelines and analytical workflows from data collection to visualization using SQL ... Support automation and optimization initiatives by applying machine learning and advanced analytics ...

... optimization. We enable the visibility into and management of trillions of data points, hundreds of millions of users, and billions of dollars in lifetime value (LTV) and paid ad spend. Our suite of ...

... optimization. We enable the visibility into and management of trillions of data points, hundreds of millions of users, and billions of dollars in lifetime value (LTV) and paid ad spend. Our suite of ...

... optimization. We enable the visibility into and management of trillions of data points, hundreds of millions of users, and billions of dollars in lifetime value (LTV) and paid ad spend. Our suite of ...

Project - Data Engineer II

Boise, ID · On-site

$109K - $130K/yr

Support Snowflake performance and cost optimization through warehouse sizing, concurrency patterns ... Experience with data integration frameworks and orchestration tools. * Working knowledge of ...

Develop high-quality data analytics and applications that provide actionable insights for ... Knowledge and experience in optimization (LP, MIP, meta-heuristics) and tools like CPLEX/Gurobi.

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

Overview As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter SEO decisions across our ecosystem. You'll dive into traffic trends, user signals, and keyword ...

SEO Strategist

Post Falls, ID · On-site +1

$65K/yr

You'll build data-driven strategies that align with our business goals and connect with real users ... We see SEO as more than just keywords; it's about user experience, business impact, and staying ...

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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.

What job categories do people searching Data Optimisation jobs in Idaho look for? The top searched job categories for Data Optimisation jobs in Idaho are:
What cities in Idaho are hiring for Data Optimisation jobs? Cities in Idaho with the most Data Optimisation job openings:
Infographic showing various Data Optimisation job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Manager Data Engineering and Analytics

Comerit

Eagle, ID • On-site

$150K/yr

Contractor

Re-posted 20 days ago


Job description


Comerit is searching for a Manager of Data Engineering and Analytics to lead our client's growing team of data and analytics engineers. You will be responsible for defining and managing a long-term vision and portfolio of initiatives to improve the customer experience and business results through creating world-class data infrastructure and enabling data-driven analytics.This includes establishing standards and optimizing our data engineering, data flow and data collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.This candidate also demonstrates skills in working with multiple business areas and can analyze their data requirements in a harmonious way to optimize both the data landscape as well as the analytics around it.
The Manager Data Engineering and Analytics will support our client's Enterprise Data Architect and lead a team of Data Engineers and BI Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and proficient at supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's reporting and analytics infrastructure to support our next generation of products and data initiatives.
This person will:
  • Collaborate on the creation and maintenance of optimal data pipeline architectures
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Work with peers to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
  • Lead a team to assemble large, complex data sets that meet functional / non-functional business requirements
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • May also be called on to perform tasks related to Data Engineering and setting up analytics environment
  • Work with stakeholders including the Executive teams to assist with data-related technical issues and support their data infrastructure needs
  • Keep our client's data separated and secure across national boundaries through multiple data centers and AWS regions
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Analyze, validate, prioritize, and provide cost estimates for service requests and project work
  • Develop and maintain an analytics roadmap in conjunction with the overall Data Architecture roadmap
  • Work with project managers to develop project plans and manage to the plans
  • Develop and publish standards that govern the data engineering and analytics domain.
  • Establish service delivery metrics for service requests and project work.
  • Perform career management functions for the data analytics team including establishing annual goals and development plans, annual reviews, and compensation planning.

Requirements
Experience with AWS S3, Sagemaker, Step Functions and other AWS toolsets
Experience with Microsoft SQL Server
Experience with Boomi or other IPaaS tools
Experience with Extract, Transform and Load (ETL) methodologies and tools
Experience with Python or R scripting.
Knowledge of SAP and SAP data structures preferred or similar ERP tools.
Ability to manage multiple projects
Work with upper management