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Real Time Data Analyst Jobs (NOW HIRING)

Chewy

Real-Time Analyst

Hollywood, FL

Proficient in data management - SQL, Python, VBA, Tableau, macros, pivot tables, pivot charts Chewy is an equal opportunity employer. All qualified applicants will receive consideration for ...

New

Chewy

Real-Time Analyst

Goodyear, AZ

Proficient in data management - SQL, Python, VBA, Tableau, macros, pivot tables, pivot charts Chewy is an equal opportunity employer. All qualified applicants will receive consideration for ...

New

Chewy

Real-Time Analyst

Richardson, TX

Proficient in data management - SQL, Python, VBA, Tableau, macros, pivot tables, pivot charts Chewy is an equal opportunity employer. All qualified applicants will receive consideration for ...

New

Jobgether

$300K/yr

Our partner is looking for a Principal Engineer - Real-Time Data Systems based in Netherlands. This ... Analyze system performance, identify bottlenecks, and drive improvements across the data platform.

New

Flex

WFM Real-Time Analyst

New York, NY · On-site

... Real-Time Analyst to operate at the intersection of human judgment and AI-powered intelligence ... In this environment, AI agents continuously ingest data across channels, BPO partners, and systems ...

Flex

WFM Real-Time Analyst

New York, NY

... Real-Time Analyst to operate at the intersection of human judgment and AI-powered intelligence ... In this environment, AI agents continuously ingest data across channels, BPO partners, and systems ...

Inficare Technologies

Data Analyst

Phoenix, AZ · On-site

Data Analyst Location: Phoenix, AZ Its day 1 onsite role Duration: Long term Looking for a Data ... This role will contribute to both batch and near real-time data pipelines and help ensure data ...

FOCUSPOINT

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

You'll play a vital role in transforming real-time data into actionable insights. These positions ... If you're highly analytical, proactive, and comfortable translating data into strategy, we'd love ...

TELUS Digital

WFM Real Time Analyst

Las Vegas, NV · On-site

Sunday, May 24th 2026 by 11:59 PM Position overview As a Real Time Analyst you use your expertise ... Our diverse team weaves data, technology, and human ingenuity to deliver differentiated customer ...

VAST Data

Senior Product Data Analyst

Manhattan, NY · On-site +1

$94K - $119K/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 ...

Labor First

Real Time Analyst, East

Mount Laurel, NJ · On-site

$50K - $60K/yr

The Real-Time Analyst (RTA) monitors operational performance in real time to ensure staffing aligns with business demand. This role analyzes contact volume, agent availability, adherence, and service ...

ibex

WFM Real Time Analyst

Crittenden, NY

Overview The Real-Time Analyst manages and/or balances service levels for the call center across programs, internal locations, lines of business, and products. The analyst manages the performance of ...

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Real Time Data Analyst information

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$34K

$82.6K

$136K

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

As of Jul 29, 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 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 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 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.

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.
More about Real Time Data Analyst jobs
What job categories do people searching Real Time Data Analyst jobs look for? The top searched job categories for Real Time Data Analyst jobs are:
Real Time Data Analyst jobs near you
Infographic showing various Real Time Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Real-Time Data Engineer

Bright Vision Technologies

Richardson, TX • Remote

$135K - $160K/yr

Full-time

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

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Real-Time Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $135,000–$160,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an experienced Real-time Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role you will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement. The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Key Responsibilities
  • Architect, deploy, and operate large-scale Apache Kafka or Confluent Platform clusters across on-prem and cloud environments.
  • Design partitioning, replication, and topic strategies that balance throughput, durability, and operational simplicity.
  • Implement strong security on Kafka clusters using SASL, mTLS, ACLs, RBAC, and integration with corporate IdPs.
  • Operate Schema Registry, Kafka Connect, KSQL/ksqlDB, and Kafka Streams in production.
  • Build and operate Kafka Connect pipelines integrating sources and sinks across enterprise systems.
  • Design HA/DR strategies for Kafka, including MirrorMaker 2, Cluster Linking, and multi-region active-active patterns.
  • Build CI/CD pipelines for Kafka topic, ACL, and connector configurations using GitOps patterns.
  • Implement comprehensive observability using Prometheus, Grafana, Datadog, or Confluent Control Center.
  • Drive Kafka cost and capacity optimization through right-sizing and storage tiering.
  • Onboard application teams to Kafka with clear patterns, templates, and best practices.
  • Lead incident response and post-incident reviews for streaming workloads, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards.
  • Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time.
  • Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time.
  • Continuously evaluate emerging streaming technologies (Pulsar, Redpanda, AWS MSK, Azure Event Hubs).

Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of experience operating Apache Kafka or Confluent Platform in production.
  • Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups).
  • Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC).
  • Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.
  • Experience with HA/DR strategies for Kafka.
  • Strong scripting skills in Python, Bash, or Go.
  • Hands-on experience with infrastructure-as-code (Terraform, Ansible).
  • Working knowledge of observability tooling for Kafka.
  • Excellent troubleshooting, communication, and documentation skills.

Preferred Qualifications
  • Confluent Certified Administrator or Developer credentials.
  • Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator).
  • Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API).
  • Familiarity with stream processing frameworks (Flink, Spark Streaming).
  • Experience with data governance and lineage for streaming data.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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