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Data Optimisation Jobs (NOW HIRING)

Adyen

Optimization Data Analyst

San Francisco, CA · On-site

$132K - $178K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Adyen

Optimization Data Analyst

Chicago, IL · On-site

$120K - $156K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Adyen

Optimization Data Analyst

San Francisco, CA

$132K - $178K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine Learning principles to design and implement data optimization strategies for model training and ...

Pigment

We are hiring an Optimisation AI Scientist to own the technical delivery of Pigment's solver pilot ... Work with Engineering and Data Science leads to define the path to production-grade solver ...

Cincinnati Reds

Data Engineer

Cincinnati, OH

$111K - $134K/yr

Building, optimizing, and maintaining ETL/ELT pipelines * Basic infrastructure-as-code (Terraform, CloudFormation) * Understanding of real-time data processing (Kafka, Kinesis) * Experience with ...

Cincinnati Reds

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Building, optimizing, and maintaining ETL/ELT pipelines * Basic infrastructure-as-code (Terraform, CloudFormation) * Understanding of real-time data processing (Kafka, Kinesis) * Experience with ...

Adecco

Senior Data Engineer

Mesa, AZ · On-site

$105K - $142K/yr

A key component of the position will also include claims scrubbing, EDI, and data optimization to improve claims accuracy, processing efficiency, and reimbursement. Key Responsibilities * Design ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

Optimizing data systems and building them from the ground up. In your role, you will work with our software developers, database architects, data analysts, and data scientists on data initiatives and ...

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

... data optimization.Prioritize, deconflict and craft backlog requirements for a team of data acquisition professionals while coordinating data task requirements with personnel conducting data ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures. * Read, scope, author, and/or execute code of varying degrees of complexity for ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures.Read, scope, author, and/or execute code of varying degrees of complexity for ...

CSS Inc

Data Scientist

Charleston, SC · On-site

$70 - $90/hr

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures. * Read, scope, author, and/or execute code of varying degrees of complexity for ...

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$110K - $122K/yr

Work with data users to determine, create, and populate optimal data architectures, structures, and systems. * Plans, designs, and optimizes data throughput and query performance. * Performs other ...

Payline Data

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Company Description Payline Data creates solutions that deliver exceptional payment experiences ... Write optimized code to support application development. * Conduct server coding sessions for ...

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Showing results 21-40

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Data Optimisation information

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 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 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 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 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.
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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Optimization Data Analyst

San Francisco, CA • On-site

Adyen
See more jobs at Adyenexternal

$132K - $178K/yr

Full-time

Posted 7 days ago

Job description

This is Adyen
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
The Role
We are seeking an experienced Optimization Data Analyst to join our team in San Francisco to play a critical role in driving scalable optimizations and advanced analytics across Adyen's global Performance Optimization team. As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.
This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.
What You'll Do
  • Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
  • Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
  • Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
  • Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
  • Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
  • Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
Who You Are
  • 3-5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
  • Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
  • Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
  • Familiarity with big data tools (Spark, Airflow) and version control using Git.
  • Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
  • Deep understanding of statistics, hypothesis testing, and data mining.
  • Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
  • Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
  • Excellent communication and storytelling skills, translating data insights into business value.

Compensation
The annual base salary range for this role is $132,000 - $178,000, plus RSUs; to learn more about our compensation philosophy, please click here.
Location
This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
Our Diversity, Equity and Inclusion commitments
Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen.
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!
What's next?
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don't be afraid to let us know if you need more flexibility.

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