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Real Time Data Analyst Jobs (NOW HIRING)

Monitoring real-time data for surface and subsea BOPs; including pressure trends, volume ... Analyze trends to identify potential concerns, predict failures, recommend mitigation strategies ...

Real Time Analyst

New York, NY · Remote

$56K - $73K/yr

The Real Time Analyst will monitor agent activities ensuring adherence to schedules and activity entries are up to date with scheduling systems. The shift is Tuesday to Saturday from 12:00pm CT - 8 ...

Real Time Analyst

New York, NY · On-site

$56K - $73K/yr

The Real Time Analyst will monitor agent activities ensuring adherence to schedules and activity entries are up to date with scheduling systems. The shift is Tuesday to Saturday from 12:00pm CT - 8 ...

As a Real Time Analyst , you'll be responsible for monitoring service levels across the enterprise ... Applies Critical Thinking - Uses data-based analysis to guide decision making, applies critical ...

Senior Product Data Analyst

Manhattan, NY · On-site +1

$94.70K - $119.40K/yr

We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and ...

Power BI Data Analyst Location: Denver, CO Role & Responsibilities * Designing, developing, and ... Experience working with large datasets and real-time data sources. * Ability to communicate ...

Senior Data Warehouse Analyst

Sitka, AK · On-site

$103.60K - $130.70K/yr

... include real-time data warehousing, enterprise public and internal facing portals, master data ... data analyst functions that may or may not be related to Data Warehouse: o Generate standard or ...

... Analytics. • Proven ability to lead cross-functional initiatives and influence product and ... with real-time data systems, fraud detection models, and decisioning platforms is a plus. • ...

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Real Time Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do real time data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for real time data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Real Time Data Analyst, you need strong analytical skills, attention to detail, and a degree in mathematics, statistics, computer science, or a related field. Familiarity with real-time data processing tools like Apache Kafka, SQL, Python, and data visualization platforms is typically required. Critical thinking, effective communication, and the ability to work under pressure are essential soft skills for this role. These competencies enable analysts to rapidly interpret data streams, spot anomalies, and deliver timely insights that drive informed business decisions.

What are the common challenges faced by Real Time Data Analysts, and how can they be addressed?

Real Time Data Analysts often face challenges such as managing high volumes of rapidly incoming data, ensuring data accuracy under tight time constraints, and quickly identifying anomalies or trends. To address these challenges, analysts rely on automated monitoring tools, collaborate closely with IT and operations teams, and continuously update their technical skills to adapt to new data platforms. Effective communication and the ability to stay organized are also essential for prioritizing tasks and responding to urgent data issues in a fast-paced environment.

What does a Real Time Data Analyst do?

A Real Time Data Analyst monitors, analyzes, and interprets data as it is generated in real-time systems, such as call centers, logistics operations, or online platforms. Their main goal is to use live data to identify trends, detect anomalies, and provide immediate insights that help organizations make quick, informed decisions. Real Time Data Analysts often work with advanced monitoring tools and dashboards, and collaborate closely with operations teams to ensure optimal performance and issue resolution. This role requires strong analytical skills, attention to detail, and the ability to work under pressure in fast-paced environments.

What is the difference between Real Time Data Analyst vs Data Analyst?

AspectReal Time Data AnalystData Analyst
Required SkillsData visualization, SQL, real-time data processingData analysis, SQL, reporting
Work EnvironmentFast-paced, real-time data streamsOffice-based, periodic reporting
CertificationsSQL, data visualization tools, possibly real-time analytics certificationsSQL, Excel, data analysis certifications
Industry UsageFinance, tech, e-commerceHealthcare, marketing, finance

Real Time Data Analysts focus on analyzing data as it is generated, enabling immediate decision-making. Data Analysts typically work with historical data for reporting and trend analysis. While both roles require strong analytical skills and SQL knowledge, Real Time Data Analysts emphasize real-time data processing tools and fast-paced environments, whereas Data Analysts focus on periodic data review and reporting.

More about Real Time Data Analyst jobs
Real Time Data Developer

Real Time Data Developer

Software Technology Inc

Washington, DC • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Senior Software Engineer – Real-Time Data Developer

One of the core objectives of the group is the development of data systems for data streaming and marketing activations. The optimal candidate will have a minimum of 7 years of hands-on development experience with an excellent technical background:

Core Responsibilities:

  • Developing and architecting real-time data integrations: defining APIs, building highly reliable processes, processing large volumes of data performantly, and working with AWS technologies.
  • Understand the data being delivered, its uses, and applications.
  • Partner with our business users to understand their requirements and interactions with the data platform to ensure quality products and smooth day-to-day operation.
  • Own the full scope of the assigned projects, including liaising with the business to gather requirements, designing the solution, and building and delivering completed functionality to production.

Required Technical Experiences:

  • Has 7+ years of experience in Java development
  • Strong development experience in Java Spring Framework
  • Strong AWS Development experience using these services (API Gateway, Lambda, Kinesis, SQS, EC2)
  • Good experience with Rest API development / Microservice architecture
  • Good experience building reusable frameworks
  • Experience with caching systems, in-memory data stores
  • Experience with source control GIT or SVN or TFS for code check-in/Check-out and CI/CD knowledge
  • Experience in Agile Methodology using SCRUM or Kanban
  • Analytical skills – Ability to troubleshoot and logically assess problems and determine solutions
  • Documentation skills – ability to represent ideas, requirements, and problems in clear and concise documents
  • A love of data, data munging, and care about building the right abstractions

Additional (Plus) Technical Experiences:

  • Experience in Python development
  • Knowledge of UNIX shell scripting
  • Experience in a Google cloud platform (GCP)

Additional (Plus) Work experiences:

  • Working experience with Customer Data Platforms and MDM such as Segment, Tealium, Redpoint Global, Adobe Experience Platform, Salesforce C360, and Interaction Studio, Microsoft D365 Customer Insights, Oracle CX Unity, Reltio, Lytics, Amperity or ActionIQ.

Required Skills: real time, java, heavy cloud experience (either AWS or Azure), Lambda functions, and MUST live in EST or CST time zone. This is a contract to hire also.