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Data Optimisation Jobs in Chicago, IL (NOW HIRING)

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 ...

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 ...

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 ...

Data Architect

Chicago, IL · On-site +1

$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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The right candidate will be excited by the prospect of optimizing our company's data to support our next generation of investments. Harrison Street requires candidates to have independent, long-term ...

New

Data Engineer

Chicago, IL

$125K - $200K/yr

The right candidate will be excited by the prospect of optimizing our company's data to support our next generation of investments. Harrison Street requires candidates to have independent, long-term ...

New

Data Engineer

Chicago, IL · On-site

$35 - $38/hr

The ideal candidate will have a solid background in designing, building, and optimizing scalable data pipelines and data processing solutions in cloud-based environments. Requirements Required ...

Work Now Staffing is looking to hire Data Analysts (Logistics, Bulk Mail, & Postal Optimization Specialist) for our Romeoville client. Shift: 1st Shift - 8:00am - 5:30pm and 9:00am - 5:30pm Pay: $21 ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Performance Optimization: Continuously monitor and optimize data systems for performance, scalability, and cost efficiency. * Client Engagement: Act as a trusted advisor to clients, providing thought ...

Data Engineer

Libertyville, IL

$111K - $133K/yr

Building, maintaining, and optimizing batch and ELT pipelines that load data into Google BigQuery and Azure SQL Server Designing, developing, and testing dbt models - from staging and intermediate ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Performance Optimization: Continuously monitor and optimize data systems for performance, scalability, and cost efficiency. * Client Engagement: Act as a trusted advisor to clients, providing thought ...

Data Architect

Chicago, IL · On-site

$160 - $206/hr

Performance Optimization: Continuously monitor and optimize data systems for performance, scalability, and cost efficiency. * Client Engagement: Act as a trusted advisor to clients, providing thought ...

New

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Familiarity with production ML practices, including model versioning, performance optimization ...

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Familiarity with production ML practices, including model versioning, performance optimization ...

Data Scientist

Wood Dale, IL · On-site

$115 - $130/hr

- Data Scientist (18483) About Us: AAR Corp. (NYSE: AIR) is a global aerospace and defense ... Familiarity with production ML practices, including model versioning, performance optimization ...

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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.

What job categories do people searching Data Optimisation jobs in Chicago, IL look for?

The top searched job categories for Data Optimisation jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Optimisation jobs?

Cities near Chicago, IL with the most Data Optimisation job openings:

Optimization Data Analyst

Adyen

Chicago, IL • On-site

$120K - $156K/yr

Full-time

Posted 9 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 Chicago 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 $120,000 - $156,000, plus RSUs; to learn more about our compensation philosophy, please click here.

Location

This role is based out of our Chicago 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.