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Amazon Quicksight Jobs in California (NOW HIRING)

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.

Senior Contact Center Data Engineer

San Jose, CA · On-site

$124K - $168K/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.

Senior Contact Center Data Engineer

San Diego, CA · On-site

$112K - $152K/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.

Senior Data Engineer

Berkeley, CA · On-site

$131K - $178K/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 ...

Sr. Product Manager - Tech, Device

Sunnyvale, CA · On-site

$148K - $196K/yr

... QuickSight - Experience in building and driving adoption of new tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other ...

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Amazon Quicksight information

See California salary details

$13

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How much do amazon quicksight jobs pay per hour?

As of Aug 29, 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 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 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 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 does Amazon Quicksight do?

Amazon Quicksight is a business intelligence service that enables users to create interactive dashboards and visualizations from data sources. It helps organizations analyze large datasets quickly and supports features like data sharing, collaboration, and integration with other AWS services. Users typically need skills in data analysis and familiarity with cloud-based tools.

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 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $52,174 per year, or $25.1 per hour.

Contact Center Data Analytics Engineer II

Palo Alto, CA • On-site


Geico
Insurance Services • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 364 frontline employees who took The Breakroom Quiz

170th of 315 rated insurance

Good employer

Recommended by students

Paid breaks


Full-time

Posted 3 days ago

New


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 Analytics Engineer II is an experienced analytics professional responsible for building reliable data solutions, producing actionable insights, and helping guide more complex analytics work across contact center operations, IVR, automation, workforce management, product, and technology functions. This role carries the same core responsibilities as the Data Analytics Engineer I role, but with greater ownership, stronger technical depth, and a higher expectation to lead analysis, influence decisions, improve data practices, and help less-experienced team members solve problems effectively.

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; Buffalo, NY; San Diego, CA; Virginia Beach, VA; Fredericksburg, VA; Tampa, FL.

Key Responsibilities

  • Design, develop, test, deploy, and maintain more complex data structures, enterprise reports, dashboards, analytical systems, and visualizations that support operational and strategic decision-making.
  • Lead analysis of contact center, IVR, digital, customer, workforce, and system performance data to identify root causes, quantify business impact, and recommend practical actions.
  • Build and enhance reporting solutions using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and related analytics or monitoring tools used by the team.
  • Proactively detect operational or system issues by monitoring performance patterns, outliers, anomalies, and metric movement across contact center and IVR environments.
  • Translate complex business needs into technical requirements and scalable reporting or analytical solutions that can be used by operations, product, automation, workforce management, and technology partners.
  • Evaluate new internal and external data sources, validate data quality, and recommend ways to expand data warehouse, reporting, and self-service analytics capabilities.
  • Assist with the assessment and cultivation of long-term business intelligence, automation, and operational insight opportunities in partnership with business, engineering, data architecture, and data science teams.
  • Improve reporting standards, metric definitions, documentation, testing practices, and data governance controls for assigned subject areas.
  • Support and coach less-experienced analysts or engineers by reviewing work, sharing best practices, and helping the team use consistent development and validation practices.
  • Communicate complex insights clearly to technical and non-technical stakeholders and influence decisions through strong data storytelling, business context, and practical recommendations.

Required Qualifications

  • 2+ years of experience in business analytics, data analytics, product analytics, operations analytics, or a related analytical role.
  • 2+ years of experience querying complex systems using SQL and performing data analysis.
  • 2+ years of experience using analytical or programming languages such as Python, R, SAS, .NET, M, or DAX.
  • 1+ years of experience using source control, DevOps tools, or collaborative development practices.
  • 2+ years of experience developing business intelligence reporting or data visualizations in Power BI, Amazon QuickSight, Tableau, or similar tools.
  • Experience analyzing operational data, identifying root causes, and translating findings into business recommendations.
  • Ability to manage more complex assignments, work across multiple business partners, and operate with limited direction in a fast-moving 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 tools to monitor system, service, or operational performance and identify anomalies.
  • Experience with big data, cloud-based technologies, data warehousing, or data engineering concepts.
  • Experience working in Agile delivery environments with product owners, engineers, and business stakeholders.
  • Experience mentoring peers, reviewing analytics work, improving reporting standards, or helping teams adopt consistent development practices.


Annual Salary

$88,150.00 - $157,850.00

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.


GEICO logo

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


What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

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