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Analytics Assistant Jobs in Austin, TX (NOW HIRING)

At CNA, we strive to create a culture in which people know they matter and are part of something ... Advanced analytical and problem solving skills with ability to manage and prioritize multiple ...

VP, Professional Services

Austin, TX · On-site

$180 - $240/hr

Champions the use of AI-enabled tools (e.g., chatbots, documentation automation, analytics assistants) to improve efficiency, accuracy, and streamline routine tasks while following company AI ...

This role will involve assisting with campaign creation, content management, and analytics ... Key Responsibilities Responsibilities: * Assist in the planning and execution of marketing ...

Finance Business Partner

Austin, TX · On-site +1

$108K - $185K/yr

Job Duties: FP&A: * Assist the business team in preparing budgets, forecasts, and financial models (as required). * Analyze financial performance against budgets/forecasts and provide variance ...

Showing results 21-40

Analytics Assistant information

See Austin, TX salary details

$22.6K

$55.2K

$135.9K

How much do analytics assistant jobs pay per year?

As of Aug 12, 2026, the average yearly pay for analytics assistant in Austin, TX is $55,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,888.00 and $63,777.00 per year, depending on experience, location, and employer.

What is an analytics assistant?

Analytics Assistants are professionals who support data analysis tasks within a company or organization. They help collect, organize, and process data, create reports, and assist senior analysts in interpreting information to guide business decisions. Their responsibilities often include using data management tools, preparing presentations, and ensuring data accuracy. Analytics Assistants play a vital role in transforming raw data into actionable insights. This entry-level position is ideal for those looking to start a career in data analytics.

What does an analytics assistant do?

As an Analytics Assistant, your day-to-day tasks often include gathering and cleaning data, creating basic reports, and supporting more senior analysts with research and data visualization. You play a key role in ensuring data accuracy and timely delivery of insights, which helps the team make informed decisions. Collaboration with team members, such as analysts and project managers, is common, especially when preparing presentations or addressing urgent data requests. This role provides a strong foundation in analytics tools and processes, making it ideal for those aiming to advance in data-driven careers.

What is the difference between Analytics Assistant vs Data Analyst?

AspectAnalytics AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields, often with certifications
Work EnvironmentSupportive, entry-level roles in offices or remote settingsAnalytical, project-focused roles in various industries
Employer & Industry UsageCommon in marketing, finance, and tech companiesWidely used across industries for data-driven decision making
Search & Comparison IntentUnderstanding entry-level data support rolesAnalyzing differences in data-related job responsibilities

The main difference between an Analytics Assistant and a Data Analyst lies in their experience level, responsibilities, and qualifications. Analytics Assistants typically support data teams with basic tasks and require less advanced education, while Data Analysts handle more complex analysis and decision-making processes. Both roles are essential in data-driven organizations, but they differ in scope and expertise.

What are the key skills and qualifications needed to thrive as an analytics assistant?

To thrive as an Analytics Assistant, you need a solid understanding of data analysis, statistics, and proficiency with spreadsheet and database tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data visualization software (like Tableau or Power BI), SQL, and Microsoft Excel are typically required, and knowledge of programming languages like Python or R is beneficial. Attention to detail, analytical thinking, and strong communication skills help you interpret data accurately and convey insights effectively to stakeholders. These abilities are crucial for supporting data-driven decision-making and ensuring the accuracy and clarity of analytical reports.
What are the most commonly searched types of Analytics jobs in Austin, TX? The most popular types of Analytics jobs in Austin, TX are:
What cities near Austin, TX are hiring for Analytics Assistant jobs? Cities near Austin, TX with the most Analytics Assistant job openings:
Infographic showing various Analytics Assistant job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $55,235 per year, or $26.6 per hour.

CAD Engineer, Silicon Learning and Static Timing Analysis

Apple

Austin, TX • On-site

Full-time

Re-posted 26 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Do you love tackling highly complex challenges with a keen eye towards revealing what has been hidden to others? Do you intrinsically understand the difference between correlation and causation? As part of our Silicon Technologies group, youʼll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC) working on leading edge semiconductor technology nodes where the hidden details make a real difference in performance, power, and area. Youʼll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means youʼll be responsible for crafting and building the technology that fuels Appleʼs devices. Together, you and your team will enable our customers to do all the things they love with their devices and things that they haven't yet imagined possible.
In this critical role, you will be responsible for analyzing silicon performance data and incorporating the learnings back into static timing analysis tools, flows, margins, and design closure methodologies to drive continuous improvements in Apple products. You will help refine our understanding of advanced silicon to truly optimize performance and battery life in phones, laptops, and products not yet dreamt of.
Description
* Work with design teams, DFT, CAD, and product engineering to design experiments, analyze results and refine design methodologies applied across all silicon design at Apple.
* Data mining and analysis of silicon data to establish correlation metrics to design closure activities including Static Timing Analysis
* Assist in developing and deploying design closure margins and methodologies targeted to optimize power/performance tradeoffs which have material impact on the final products
Minimum Qualifications
Minimum requirement of BS + 3 years of relevant industry experience
Coding experience in one or more of C, Perl, Python, or Tcl
Preferred Qualifications
Experience working in static timing analysis, DFT, physical design, failure analysis or CAD
Static Timing Analysis with Primetime, Tempus, or equivalent
Solid C, Perl, Python or Tcl coding/debug skills coupled with an understanding of the design challenges in advanced technology nodes
Fundamentals of statistics, hypothesis testing, data mining, Machine Learning and Design of Experiments.
Prior exposure to DFT, Tetramax, Tessent, silicon debug, or semiconductor processing is a plus.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976