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Data Optimisation Jobs in Chicago, IL (NOW HIRING)

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 ...

Payline Data

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 ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Create and maintain optimal data pipeline architecture * Assemble large, complex data sets that meet functional / non-functional business requirements * Extend our machine learning platform by ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Create and maintain optimal data pipeline architecture * Assemble large, complex data sets that meet functional / non-functional business requirements * Extend our machine learning platform by ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Create and maintain optimal data pipeline architecture * Assemble large, complex data sets that meet functional / non-functional business requirements * Extend our machine learning platform by ...

Work Now Staffing

1st Shift - Data Analyst

Romeoville, IL

$21.63 - $28.85/hr

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 ...

Hirose Electric USA

Data Scientist

Downers Grove, IL · On-site

The Data Scientist will play a key role in identifying, aggregating, and analyzing data across ... Support pricing optimization, margin expansion, and win-rate improvement initiatives * Partner ...

West Monroe

Data Architect

Chicago, IL · On-site

$167K - $196K/yr

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 ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

What you'll do: • 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 ...

Zynga

Data Analyst

Chicago, IL

$77K - $114K/yr

Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns ...

Zynga, Inc.

Data Analyst

Chicago, IL

$77K - $114K/yr

Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns ...

Apex Informatics

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Proficiency in writing complex queries, stored procedures, and optimizing SQL Server queries. * Familiarity with SQL Server data migration processes, including handling large datasets, managing data ...

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All JobsData Optimisation JobsData Optimisation Jobs in Chicago, IL

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.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and tools like Python or R are more important than age, and continuous learning can help overcome any age-related concerns.

What are the key skills and qualifications needed to thrive as a Data Optimisation Specialist, and why are they important?

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 is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data management, analytics, and programming, along with leadership responsibilities.

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 data optimization jobs?

Data optimization jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and system performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, and may include tasks such as data cleaning, indexing, and implementing data storage strategies.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI currently cannot fully replicate.

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 popular job titles related to Data Optimisation jobs in Chicago, IL? For Data Optimisation jobs in Chicago, IL, the most frequently searched job titles are:
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:
Data Optimisation jobs near you

Data Architect

Payline Data

Chicago, IL • On-site

$65.75 - $84.50/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 22 days ago

Job description

Company Description
Payline Data creates solutions that deliver exceptional payment experiences - solutions that make payments faster, easier and more secure. Our company is built on the foundation of empowering our employees, customers and partners to achieve their greatest potential, while also working to make the world a better place by giving back to those in need.
Job Description
The right candidate is passionate about data technology, but not only the design, creation and implementation of best practices but also the long-term scalability that will set Payline Data apart from the competition. An experienced database architect will bring modern solutions to the payment experience to advise, oversee and maintain the integrity and security of company-wide data assets and services.
This position is responsible for designing, creating, deploying and managing the organization's enterprise data architecture. This position will act as a technical architect for the data warehouse and business intelligence enterprise strategy. It requires deep technical expertise in data architecture, database design, ETL processes, reporting/analytics, big data, and cloud. The Data Architect should understand the system development life cycle; software project management approaches; and requirements, design, and test techniques. The Data Architect is asked to conceptualize and influence application and interface projects, and therefore must understand what advice to give and where to plug in to steer toward desirable outcomes. This candidate will work closely in several different areas including Product Management, Software Engineering, and Operations.
Qualifications
  • 5+ years of experience, which the candidate will work closely with product management to design overall data architecture that meets related business and product requirements for back-end and front-end web applications
  • Experience designing and scaling databases on cloud computing platforms like Google Cloud Platform or Amazon Web Services.
  • Knowledge and experience in designing SQL, NoSQL and other databases technologies and a deep understanding of use cases for each.
  • Write optimized code to support application development.
  • Conduct server coding sessions for application developers.
  • Rewrite and tune poorly performing code to improve system performance by studying execution plans and optimizing the capabilities of the DBMS.
  • Ensure that all new database code meets company standards for readability, reliability and performance.
  • Develop database solutions by designing proposed system; defining database strategy, architecture, physical structure and functional capabilities
  • Maintain database documentation and relationship diagrams.
  • When performance issues arise, determine the most effective way to increase performance including hardware purchases, server configuration changes and or index/query changes.
  • Contribute to the overall system design and operational design
  • Work with developers to design and implement database strategies
  • Provide support to the business and technology teams in identifying the data flow associated with the business and guides proper data provisioning and data capture process optimization.

Additional Information
  • Not your typical work-place environment
  • Enjoy free snacks, free weekly breakfast, free gym membership, monthly "End of the Month" parties
  • 3 extra PTO days per year to be used for serving at charitable events.
  • Work hard, play hard and give back
  • Participate in coordinated charity events at your choosing
  • Included Health, Dental, and Vision Package.
  • Unlimited Sick Days, options to work from home at manager's discretion
  • Great PTO and Holiday time-off

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