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Amazon Quicksight Jobs in California (NOW HIRING)

Build and maintain reporting using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics tools used by the team. * Monitor key operational metrics and proactively identify ...

Build and maintain reporting using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics tools used by the team. * Monitor key operational metrics and proactively identify ...

Build and maintain reporting using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics tools used by the team. * Monitor key operational metrics and proactively identify ...

Senior Contact Center Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Build, enhance, and troubleshoot reporting and monitoring solutions using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics, cloud, and data visualization tools.

New

Build, enhance, and troubleshoot reporting and monitoring solutions using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics, cloud, and data visualization tools.

New

Senior Data Engineer

Berkeley, CA · On-site

$90K - $100K/yr

Sensor, telemetry, or time-series data Experience with reporting tools such as Power BI, Tableau, or Amazon QuickSight is an advantage. What We're Looking For * Strong analytical and problem-solving ...

Strong proficiency in Tableau, Amazon QuickSight, or similar BI platforms, including data modeling and calculated field development * Experience with cloud-based BI platforms and data services ...

... QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team Amazon is an equal opportunity employer and does not ...

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Amazon Quicksight information

See California salary details

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How much do amazon quicksight jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for amazon quicksight in California is $25.08, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $28.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon QuickSight position, and why are they important?

To thrive in an Amazon QuickSight role, you need strong analytical skills, proficiency in data visualization, and experience with business intelligence (BI) tools, often supported by a background in computer science, statistics, or a related field. Hands-on expertise with AWS services, especially QuickSight, as well as knowledge of SQL, data modeling, and possibly AWS certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with stakeholders and translate complex data into actionable insights. These capabilities are crucial for delivering meaningful business intelligence solutions and maximizing the value of organizational data.

What is an Amazon QuickSight?

An Amazon QuickSight job typically involves working with Amazon's cloud-powered business intelligence (BI) service to create and manage data visualizations, dashboards, and reports. Professionals in this role often analyze data, optimize queries, and integrate QuickSight with various AWS services like Athena, Redshift, and S3. Responsibilities may include configuring access permissions, designing interactive dashboards, and ensuring data security. Roles can range from data analysts and BI developers to AWS cloud engineers specializing in data visualization. Strong expertise in data analytics, SQL, and AWS services is usually required.

What does Amazon Quicksight do?

Amazon Quicksight is a business intelligence service that enables users to visualize and analyze data through interactive dashboards and reports. It helps organizations make data-driven decisions by connecting to various data sources and providing real-time insights. Users typically require knowledge of data analysis and visualization tools to effectively utilize Quicksight.

What are the typical responsibilities of an Amazon QuickSight specialist on a data or analytics team?

As an Amazon QuickSight specialist, your daily tasks usually include building and maintaining interactive dashboards, analyzing data to uncover trends, and collaborating closely with data engineers and business stakeholders to define requirements. You may also be responsible for optimizing data sources, ensuring data integrity, and training team members on best practices for using QuickSight. The role often involves translating complex business questions into data-driven visualizations that support decision-making. This position is both collaborative and analytical, offering regular opportunities to impact business strategy through insightful reporting.

What are popular job titles related to Amazon Quicksight jobs in California? For Amazon Quicksight jobs in California, the most frequently searched job titles are:
What job categories do people searching Amazon Quicksight jobs in California look for? The top searched job categories for Amazon Quicksight jobs in California are:
Infographic showing various Amazon Quicksight job openings in California as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $52,174 per year, or $25.1 per hour.

Contact Center Data Engineer I

Geico

Palo Alto, CA • On-site

$86K - $141K/yr

Full-time

Posted 5 days ago


GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

163rd of 304 rated insurance


Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

The Contact Center Data Engineer I plays a critical role in improving contact center performance by turning operational, customer, and system data into reliable insights, reporting, and automation opportunities. This role supports the analytics needs of contact center operations, interactive voice response (IVR), self-service, workforce management, product, and technology partners. The ideal candidate combines strong technical skills with practical business judgment and can use data to proactively identify issues, explain performance trends, and recommend actions that improve customer experience, operational efficiency, and business outcomes.

This is a hybrid position, requiring on-site presence 2-3 days a week at one of the following locations:Dallas, TX; Palo Alto, CA; Bethesda, MD.

Key Responsibilities

  • Develop, test, deploy, and maintain data structures, enterprise reports, dashboards, data visualizations, analytical systems, and recurring performance reporting.
  • Analyze contact center, IVR, digital, customer, and operational data to identify trends, root causes, performance gaps, and opportunities for automation or process improvement.
  • Build and maintain reporting using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics tools used by the team.
  • Monitor key operational metrics and proactively identify emerging issues, including changes in call volume, containment, transfer behavior, speed of answer, abandonment, handle time, call drivers, and customer experience indicators.
  • Partner with operations, workforce management, IVR, automation, product, technology, data architecture, and data governance teams to understand business problems, define requirements, and design practical data solutions.
  • Research and query structured and unstructured data sources to understand how systems work, validate data quality, and expand available reporting and insight capabilities.
  • Create clear documentation for code, reporting logic, metric definitions, source systems, data structures, and operational assumptions.
  • Serve as a data steward for assigned subject areas, helping ensure data is accurate, available, properly classified, and governed appropriately.
  • Communicate findings clearly to technical and non-technical audiences, translating complex data into practical business recommendations.

Required Qualifications

  • 1+ years of experience in business analytics, data analytics, product analytics, operations analytics, or a related analytical role.
  • 1+ years of experience querying complex data sets using SQL and performing data analysis.
  • 1+ years of experience using analytical or programming languages such as Python, R, SAS, .NET, M, or DAX.
  • Experience developing reporting or data visualizations in Power BI, Amazon QuickSight, Tableau, or similar business intelligence tools.
  • Ability to work with large and complex data sets, validate results, and explain findings in a clear and business-focused way.
  • Ability to manage multiple priorities, follow established processes, learn technical concepts quickly, and work effectively in a cross-functional environment.
  • BA/BS degree in computer science, statistics, analytics, operations research, economics, mathematics, or a related field.

Preferred Qualifications

  • Experience supporting contact center, IVR, customer service, workforce management, digital servicing, insurance, or financial technology environments.
  • Experience using Amazon CloudWatch or similar monitoring tools to identify system, service, or operational anomalies.
  • Experience working in an Agile environment with product, engineering, or technology teams.
  • Working knowledge of data governance, metric definition, data quality validation, and documentation practices.
  • Interest in automation, self-service improvement, and translating analytics into measurable business value.


Annual Salary

$86,100.00 - $141,450.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


What GEICO employees say

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936