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Live In Data Analyst Developer Jobs in Illinois (NOW HIRING)

Apex Informatics

Data Analyst

Chicago, IL · On-site

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Harris | Oakmark

Data Analyst, Data Ops

Chicago, IL · On-site

Required : • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field. • 4-6 years of experience in investment management, financial services, or a data ...

Knapheide Manufacturing

Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem‑solving, and team collaboration ...

Request Technology, LLC

Data Analytics Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

Create data models ensuring information availability in the analytics warehouse for analysis and ... DevOps, Networking) to craft solutions that align business goals with internal processes, security ...

Knapheide Manufacturing

Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem-solving, and team collaboration ...

Honeycomb Insurance

Data Analyst

Chicago, IL

$120K - $170K/yr

About the Role We are looking for a Financial & Data Analyst to join our Finance organization and ... You thrive in cross-functional work between Finance, Accounting, and Engineering. * This role is ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100.50K/yr

... in SQL and at least one programming language (e.g., Python, R). • Familiarity with data ... live within the geographic boundaries of the City of Chicago within six months of their CPS hire ...

TriOptus LLC

Data Analyst - IT III

Chicago, IL · On-site

... in business, computer science, or a related field • Excellent communication skills, with the ... This is not a PowerBI developer role. Required Skills : Data Analysis,SQL Basic Qualification

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field. * 4-6 years of experience in investment management, financial services, or a data intensive ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/yr

... in SQL and at least one programming language (e.g., Python, R). • Familiarity with data ... live within the geographic boundaries of the City of Chicago within six months of their CPS hire ...

VIVA USA INC

Data Analyst

Chicago, IL · On-site +1

$39.43 - $44.43/hr

A data analyst is a highly trained individual that specializes in collecting, organizing, and analyzing data from various resources Primary tasks of this position are compilation and analysis of data ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

About the Role We are looking for a Financial & Data Analyst to join our Finance organization and ... You thrive in cross-functional work between Finance, Accounting, and Engineering. * This role is ...

Dlapiper

Sr Data Analyst

Chicago, IL · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

Guru Schools

Junior Data Analyst

Chicago, IL · On-site

This role is ideal for candidates with 0-3 years of experience who want to build a strong foundation in data analysis, reporting, and business insights. The role includes on-the-job training, real ...

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What is the difference between Live In Data Analyst Developer vs Live In Data Scientist?

AspectLive In Data Analyst DeveloperLive In Data Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related field; programming skills in SQL, Python, or RBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentCollaborative teams in tech or finance sectors, often client-facingResearch-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data analysis and development in live environmentsUsed for advanced data modeling, predictive analytics, and research

The main difference is that Live In Data Analyst Developers focus on developing and maintaining data analysis tools in live settings, combining coding with analysis. Live In Data Scientists typically perform more advanced statistical modeling and predictive analytics, often in research or strategic roles. Both roles require strong technical skills, but Data Scientist roles tend to involve more complex statistical work.

What are the most commonly searched types of Data Analyst Developer jobs in Illinois? The most popular types of Data Analyst Developer jobs in Illinois are:
What cities in Illinois are hiring for Live In Data Analyst Developer jobs? Cities in Illinois with the most Live In Data Analyst Developer job openings:
Live In Data Analyst Developer jobs near you
Data Analyst, Data Ops

Data Analyst, Data Ops

Harris Associates

Chicago, IL

Other

Posted 19 days ago

Job description

Position Summary:

The Data Ops teamis responsible fordelivering scalable data,reportingand operational analytics solutions that supportdecision-makingacross the firm. The team partners closely with stakeholders to enable trusted,wellgoverneddata that improvestransparency, efficiency, and outcomes.

The Data Analyst, Data Opsis responsible forensuring theaccurate,timelyand reliable delivery of data and analytics solutions to supportprocess efficiency and data-centric decision making. This role partnerscross functionallyto design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, andself-serviceinitiatives by ensuring data is consistently modeled, documented,governedand aligned with operational risk, audit, and regulatory expectations. Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical andproblem-solvingskills with an operational mindset, brings a solid understanding of investment management datadomainsand thrives in a collaborative, agile environment. 

Responsibilities: 

  • Partner with data consumers to understand data needs and ensureaccuracy, reliability, and scalability of data and reporting outputs.
  • Design, develop, andmaintainsophisticated data, reporting, and workflow automation solutions.
  • Executehigh-impact, cross-functional data initiatives from requirements through delivery.
  • Gain deepexpertisein firm-wide business processes and translate operational needs into scalable solutions.
  • Support BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and documented data.
  • Support enterprise data governance by adhering to data standards, definitions, and stewardship practices.
  • Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes.
  • Ensure data processes align with operational risk, audit, and regulatory expectations.
  • Participate infirm-wide initiatives such as system implementations and data integrations.
  • Participate in agile planning, backlog refinement, and prioritization ofDataOpsinitiatives.
  • Foster strong cross-functional relationships and promote a culture of collaboration,accountabilityand continuous improvement. 

Qualifications: 

  • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field.
  • 4-6 years of experience in investment management, financial services, or a data intensive operations environment.
  • Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau).
  • Advanced proficiencywith SQL and Python.
  • Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value.
  • Demonstrated ability to analyze data issues, identify root causes, and drive cross-functional resolution.
  • Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities.
  • Strong communication skills with the ability to explain complex data concepts to nontechnical stakeholders.
  • Familiarity with Agile methodology and project management practices is a benefit.
  • Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus. 

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