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Real Time Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

ibex

WFM Real Time Analyst

Crittenden, NY · On-site

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 ...

1 point system

Senior Data Analyst

Sunnyvale, CA · On-site

$40/hr

Job Title Senior Data Analyst Location Hybrid - Sunnyvale, CA (2 days onsite/week) Pay Rate $40/hr ... Experience with real-time data systems. * Familiarity with fraud detection models and decisioning ...

Systimmune

Clinical Data Analyst, Spotfire

Redmond, WA · On-site

$90K - $130K/yr

This role emphasizes creating and enhancing Spotfire-based patient profiles, real-time data review ... Additionally, the Analyst will collaborate closely with Clinical Data Management, Biostatistics ...

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Real Time Data Analyst information

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

As of Jun 18, 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.
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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 June 2026, with employment types broken down into 100% Full Time. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Director - Real-Time Data Services Engineering

Director - Real-Time Data Services Engineering

Gap Inc.

Coppell, TX • On-site

Full-time

Posted 14 days ago

Gap rating

6.8

Company rating: 6.8 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

20th of 102 rated fashion retailers

Job description

About the RoleThe Director of Real-Time Data Services Engineering will design and execute strategies that enable the organization to harness streaming and event-driven data across the full fashion retail value chain - from browse and purchase signals to inventory movement and fulfillment events. This role reports into the Sr. Directors, Data Platform Engineering and owns the enterprise real-time data backbone, delivering low-latency, high-availability data services that power personalization, demand sensing, omnichannel operations, and live customer experiences. This leader will work in close partnership with merchandising technology, digital product, supply chain engineering, and marketing data teams to ensure the right data reaches the right systems at the speed the business demands.What You'll Do
  • Significant relevant experience in data engineering or platform engineering, with meaningful concentration in real-time or streaming data infrastructure
  • Strong experience delivering real-time data solutions in fashion, apparel, or specialty retail environments - including seasonal demand patterns, size/color complexity, and omnichannel fulfillment
  • Deep expertise in stream processing technologies such as Apache Kafka, Apache Flink, Spark Streaming, or equivalent
  • Hands-on experience building and operation Operational Data Stores (ODS) and other data product serving mechanisms
  • Hands-on experience with change data capture (CDC), event-driven microservices, and operational data stores supporting high-frequency retail transactions
  • Experience operationalizing data quality, pipeline observability, and SLA enforcement for streaming workloads in production
  • Strong background in cloud-native data stacks (Azure, GCP, or AWS) with focus on real-time consumption patterns including event hubs, pub/sub systems, and live data APIs
  • Experience integrating real-time data platforms with retail-specific systems including OMS, POS, WMS, CDP, and marketing activation platforms
  • Demonstrated ability to translate streaming infrastructure capabilities into tangible business outcomes - reduced markdowns, faster replenishment, improved conversion
  • Experience working across global teams spanning multiple geographies and time zones, including offshore engineering partners
  • Proven ability to operate with high independence in a fast-paced retail environment driven by seasonal calendars, peak trade periods, and rapidly shifting executive priorities
  • Strong verbal and written communication skills with the ability to make complex streaming architecture decisions accessible to merchandising, marketing, and finance stakeholders
  • Retail experience is required; fashion or apparel retail strongly preferred
Who You Are
  • Own and drive the real-time data services roadmap aligned to key fashion retail business priorities - including live inventory visibility, real-time personalization, and omnichannel order orchestration
  • Implement active stewardship of streaming data assets including schema registries, event topic governance, data lineage, and end-to-end pipeline observability
  • Partner with merchandising technology and supply chain teams to replace latency-heavy batch processes with streaming solutions that enable faster markdown decisions, smarter replenishment, and live size-curve analytics
  • Collaborate with digital product and marketing teams to deliver real-time customer behavioral signals that power personalization engines, triggered communications, and live site experiences
  • Own the reliability, throughput, and quality of core real-time data streams with measurable improvements each sprint
  • Lead enterprise alignment on streaming data standards, event schema contracts, and API-first data delivery patterns across brands and banners
  • Drive investment strategy for streaming infrastructure and real-time BI, including architecture decisions that support peak retail periods such as holiday, back-to-school, and new collection launches
  • Serve as the internal real-time data evangelist - proactively identifying high-value opportunities to move the business from next-day insight to in-the-moment action
  • Enforce data security, access governance, and privacy compliance as applied to streaming and event data, in partnership with legal and data governance teams
  • Represent real-time data platform needs in technology evaluations, vendor partnerships, and any acquisition or brand integration activities
  • Build, develop, and retain a high-performing platform engineering team through effective hiring, coaching, technical mentorship, and clear career pathing

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