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Data Associate Jobs in Northbrook, IL (NOW HIRING)

Mentor junior associates on procedural data concepts, validation approaches, and effective troubleshooting techniques. Qualifications: * Relevant degree preferred. * 5 or more years of relevant ...

WHAT YOU'LL DO โ€ข Execute Data labelling and annotation tasks across speech and voice datasets. โ€ข Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...

Data Conversion Associate I

Schaumburg, IL ยท On-site

$26K - $54K/yr

Operations Data Conversion Associate Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company ...

ASSOCIATE, DATA ENGINEER

Chicago, IL ยท On-site

$85K - $110K/yr

Present data in a clear and concise manner allowing power users to easily create their own dashboards and reports. AI & Data Pipeline Focus * Experience building or contributing to data pipelines ...

ASSOCIATE, DATA ENGINEER

Chicago, IL

$16.50 - $21.50/hr

Present data in a clear and concise manner allowing power users to easily create their own dashboards and reports. AI & Data Pipeline Focus * Experience building or contributing to data pipelines ...

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Data Associate information

See Northbrook, IL salary details

$14

$33

$57

How much do data associate jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data associate in Northbrook, IL is $33.57, according to ZipRecruiter salary data. Most workers in this role earn between $24.90 and $39.76 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Northbrook, IL? The most popular types of Data jobs in Northbrook, IL are:
What are popular job titles related to Data Associate jobs in Northbrook, IL? For Data Associate jobs in Northbrook, IL, the most frequently searched job titles are:
What job categories do people searching Data Associate jobs in Northbrook, IL look for? The top searched job categories for Data Associate jobs in Northbrook, IL are:
What cities near Northbrook, IL are hiring for Data Associate jobs? Cities near Northbrook, IL with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Northbrook, IL as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $69,826 per year, or $33.6 per hour.
Data Associate - Marketing Analytics

Data Associate - Marketing Analytics

NinjaHoldings

Chicago, IL โ€ข On-site, Remote

$70K - $100K/yr

Full-time

Posted 19 days ago


Job description

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.

Job Summary

NinjaHoldings is seeking a self-directed Data Associate to join our Marketing Analytics team, partnering with Marketing and senior analytics experts. You'll own analytics work end-to-end within your area - building and maintaining the Snowflake/dbt models and Periscope dashboards that power funnel reporting, independently diagnosing drop-off drivers with SQL and Python, and translating your findings into clear, actionable recommendations for leadership. You'll coordinate with cross-functional partners, help level up more junior analysts, and are expected to work fluently and critically alongside modern AI tooling.

Key Responsibilities:

  • Own the monitoring of key funnel metrics through reports and dashboards - tracking channel performance, diagnosing deviations, and driving to root cause with minimal guidance
  • Independently take a defined business problem, analyze it with SQL and Python, quantify drop-off drivers, and deliver a recommendation that accounts for business tradeoffs
  • Build, update, and maintain dbt data models in Snowflake to enhance and streamline marketing reporting, writing reusable, standards-compliant code
  • Build and maintain Periscope dashboards, adding charts and metrics that improve visibility across the marketing funnel
  • Communicate concise, action-oriented recommendations to senior management, tailoring the narrative and visualizations to the audience
  • Partner with Marketing, Risk, and Engineering to coordinate strategy changes, monitor releases, and conduct post-release impact analysis
  • Use AI tools to accelerate analysis and development, while critically verifying their output - catching errors, validating logic, and take ownership of correctness
  • Support the growth of the team through knowledge sharing, code review, and mentoring of junior analysts

Ideal Candidate Will Have:

  • Bachelor's degree required
  • 2+ years of experience with data analytics
  • Advanced working SQL knowledge and experience with relational databases and query authoring, plus working familiarity with a variety of databases
  • Proficiency in using Python
  • Demonstrated ability to work effectively alongside AI/LLM tools using them to move faster while independently verifying and correcting their output
  • Strong quantitative and problem-solving skills with keen attention to detail

Benefits:

  • Competitive salary and benefits package
  • Flexible, remote work
  • Fun, fast-paced work environment
  • Dynamic start-up culture
  • Ability to make an immediate impact in a growth stage company
  • Convenient downtown Chicago office located in the heart of the city
  • Equal opportunity employer

IMPORTANT NOTICE:
Please carefully review communications to ensure that they are from the official Breezy applicant tracking platform (@breezy-mail.com) or an official NinjaHoldings brand email: @ninjaholdings.com, @creditninja.com, @ninjacard.com, or @edgescore.com. If you have been contacted regarding a job opening at NinjaHoldings from any other email address, including similar email variations, this is NOT a trusted source. We recommend that you refrain from responding to suspicious emails and file a complaint with the FBI's Internet Crime Complaint Center (IC3) at https://www.ic3.gov. For questions or to confirm the authenticity of a communication, please email hr @ninjaholdings.com.

Employment Type: FULL_TIME