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Data Optimisation Jobs in Texas (NOW HIRING)

Support AWS IVR Migration and Optimization: * Collaborate with the AWS cloud call center project team and other IVR platforms for data integration * Provide data-driven insights to facilitate the ...

This role applies mathematical optimization, operations research, data science, and cloud-based engineering practices to help deliver the North American Vehicle Supply Chain vision of providing the ...

Data Architect

Plano, TX · On-site

$61 - $78.50/hr

Integrity is an essential characteristic for our firms and our associates Summary The Data Architect is responsible for leading the design, review, and optimization of enterprise data solutions. This ...

Demonstrates strong knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions. * Demonstrates strong knowledge of API (Application Programming Interface ...

Demonstrates strong knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions. * Demonstrates strong knowledge of API (Application Programming Interface ...

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Data Optimisation information

What are the most common challenges faced in a Data Optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and tools like Python or R are more important than age, and continuous learning can help overcome any age-related concerns.

What are the key skills and qualifications needed to thrive as a Data Optimisation Specialist, and why are they important?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data management, analytics, and programming, along with leadership responsibilities.

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are data optimization jobs?

Data optimization jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and system performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, and may include tasks such as data cleaning, indexing, and implementing data storage strategies.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI currently cannot fully replicate.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are popular job titles related to Data Optimisation jobs in Texas? For Data Optimisation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Optimisation jobs in Texas look for? The top searched job categories for Data Optimisation jobs in Texas are:
Infographic showing various Data Optimisation job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Omnichannel Data Optimization Analyst

Omnichannel Data Optimization Analyst

Geico

Richardson, TX

$71K - $141K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday


GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 356 frontline employees who took The Breakroom Quiz

146th of 281 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.

Key Responsibilities:

  • Identify Top Call Drivers for IVR Self-Service:
    • Analyze IVR and call center data to identify the primary drivers of inbound calls for self-service opportunities. Develop strategies for addressing top call drivers to improve IVR efficiency, customer satisfaction, and measurable call reduction to the contact centers.
  • Create Metrics and Dashboards:
    • Design and implement metrics and dashboards to measure inbound call intents, IVR self-service / containment completion rates, and callback analysis.
    • Evaluate Interactive Voice Response (IVR) performance and identify gaps for improvement.
    • Provide root-cause insights to enhance IVR systems and processes to Product and Engineering partners.
  • Support AWS IVR Migration and Optimization:
    • Collaborate with the AWS cloud call center project team and other IVR platforms for data integration
    • Provide data-driven insights to facilitate the migration of new IVR metrics (e.g., AWS, Snowflake, Power BI, Sierra).
    • Ensure seamless transition and integration of call center operations to the AWS platform.
    • Uses AI-enabled natural language queries to uncover hidden trends in data.

Technical Skills Required:

  • Minimum of 5 years, preferred 8 years, though a Master's could be used for 2 of those years
  • Demonstrated proficiency in call center analytics.
  • Advanced knowledge of SQL for data analysis and manipulation.
  • Expertise in Power BI for data visualization and reporting.
  • Expertise in data measurement techniques and best practices.
  • Familiarity with structured and unstructured data, ETL processes, schemas, and data analysis.

Preferred Skills:

  • A Master's degree is preferred and can be used in lieu of 2 years' experience.
  • Experience in IVR analysis and performance measurement.
  • Proficiency in SQL, Power BI, and Python for advanced data analysis and insights.
  • Analytical leadership abilities to guide and mentor team members.
  • Six Sigma certification or experience in process improvement methodologies.

Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
  • Minimum of 5 years of experience in call center data analysis or a related role.
  • Proven track record of identifying and implementing process improvements in call center operations.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders.

Leadership Behaviors (Individual Contributors)

All salaried individual contributors are expected to demonstrate the following leadership behaviors in how work is delivered and measured, regardless of title.

  • Ownership: Owns outcomes (not just tasks); anticipates risks, follows through, and learns from misses.
  • Adaptability: Navigates changing priorities and ambiguity with resilience; continuously learns and adjusts based on new information and feedback.
  • Collaboration: Partners across teams to deliver shared outcomes; communicates clearly, integrates perspectives, and prioritizes enterprise results.
  • Leading Self & Influencing Others: Leads through expertise and example; uses data and judgment to influence; supports peers; and seeks/applies feedback.
  • Driving Value: Focuses effort on measurable customer and business impact; simplifies, automates where possible, and manages cost/risk/return on effort.

Why Join Us?

  • Opportunity to make a significant impact on the efficiency and effectiveness of our call center operations.
  • Collaborative and innovative work environment with opportunities for professional growth and development.
  • Comprehensive benefits package, including health insurance, retirement plans, and paid time off.

Position is hybrid-two days a week in the GEICO Richardson, TX office.


Annual Salary

$71,750.00 - $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

Pay

Benefits

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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