1

Associate Data Analyst Jobs in Berkeley, CA (NOW HIRING)

Analyze data attribute needs to support business initiatives and coordinate mass changes * Ensure ... Associate discounts * Health and financial well-being benefits for eligible associates (Medical ...

New

Analyze data attribute needs to support business initiatives and coordinate mass changes * Ensure ... Associate discounts * Health and financial well-being benefits for eligible associates (Medical ...

New

This associate will serve as a technical expert, partnering with managers to plan and execute ... Data and Systems Management โ€ข Serve as the primary administrator of the fixtures database and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

(USA) Data Scientist III

San Mateo, CA ยท On-site

$117K - $234K/yr

Support deployment, scalability, and sustainability of analytical models in production environments. * Mentor junior associates on modeling techniques and best practices. * Utilize data visualization ...

(USA) Data Scientist III

Hayward, CA ยท On-site

$117K - $234K/yr

Support deployment, scalability, and sustainability of analytical models in production environments. * Mentor junior associates on modeling techniques and best practices. * Utilize data visualization ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Showing results 41-60

Associate Data Analyst information

See Berkeley, CA salary details

$41.6K

$101.2K

$166.5K

How much do associate data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for associate data analyst in Berkeley, CA is $101,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $118,800.00 per year, depending on experience, location, and employer.

Is an associate data analyst in data analytics worth it?

An associate data analyst role provides foundational experience in data collection, analysis, and visualization using tools like Excel, SQL, and Tableau. It can lead to career growth in data analytics or related fields, with entry-level salaries typically ranging from $50,000 to $70,000 annually depending on location and industry. Gaining certifications such as Microsoft Data Analyst Associate can enhance job prospects and earning potential.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

Can I be an associate data analyst with no experience?

Entry-level associate data analyst positions often do not require prior experience and may focus on foundational skills such as Excel, SQL, or basic data visualization. Candidates with relevant coursework, certifications, or strong analytical aptitude can qualify even without professional experience.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Berkeley, CA? The most popular types of Data Analyst jobs in Berkeley, CA are:
What job categories do people searching Associate Data Analyst jobs in Berkeley, CA look for? The top searched job categories for Associate Data Analyst jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Associate Data Analyst jobs? Cities near Berkeley, CA with the most Associate Data Analyst job openings:
Infographic showing various Associate Data Analyst job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $101,188 per year, or $48.6 per hour.

Data Operations Associate (Opinion Research)

GFA Inc

San Francisco, CA โ€ข On-site

$90K - $100K/yr

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago


Job description

Data Operations Associate, Opinion Research
Remote, United States (Bay Area, NYC, Washington DC, Seattle, or Portland metro areas)
About the Group
Panterra is a global strategic advisory firm. Over the last 25 years, we have grown from boutique strategic communications and research firms into a leading international consultancy. We advise governments, embassies, corporations, and individuals on a wide range of complex policy and communications issues. Our work is typically at the nexus of the worlds of politics, business, and the media.
Our mission is to participate in - and positively impact - the great debates of our age, including (but not limited to) geopolitical crises, election campaigns, high-value litigation cases, international events, and public diplomacy initiatives. In all our work we are guided by our core values of honesty, integrity, ambition, and accountability. We are not just problem-solvers; we are pioneers who lead the way in finding unique, impactful solutions to the challenges faced by our clients.
About our division - Panterra Research
Panterra Research, formerly ClearPath Strategies, provides research-driven strategy to leaders around the world. Our mission is to promote progressive forces who strive to make life better for more people. We help good people do great things, and we have fun doing it.
The work of Panterra Research principally involves conducting opinion research projects such as surveys, focus groups, and expert interviews, and providing our clients with actionable guidance based on that research. We have a long track record of providing quantitative and qualitative public opinion research across more than 150 countries, serving political campaigns, multinational corporations, NGOs, and advocacy groups. Our client portfolio includes diverse technology clients from Silicon Valley, non-profit advocacy clients (focused on environmental sustainability, civil rights, and education, among others), and international political leaders in Europe, Africa, Latin America, and Asia.
The Opportunity
Panterra Research is growing, and we are bringing data processing in-house to improve speed, quality, and control. We are looking for a detail-oriented and technically skilled Data Analyst to join our global research team. This person will own the end-to-end processing of survey data across a wide portfolio of quantitative research projects - from public opinion polling and brand tracking to political campaigns and corporate perception studies across more than 150 countries.
The ideal candidate is proficient in Displayr and has a strong grounding in survey data methodologies. They will be the engine behind our crosstab production, data weighting, quality assurance, and statistical analysis, and will play a critical role in helping us improve and accelerate how we turn raw survey data into client-ready insights.
Due to role requirements, candidates must reside in any of the following states:
  • San Francisco Bay Area, CA
  • New York, NY or New Jersey (within commuting distance of New York City)
  • Washington, DC or Virginia (within commuting distance of Washington, DC)
  • Portland, OR

Key Responsibilities
Data Processing & Quality Assurance
  • Receive, ingest, and process raw survey data from vendors in a variety of formats (SPSS .sav, Excel, CSV, and others).
  • Conduct thorough logic checking and data cleaning: verifying skip logic compliance, identifying missing or erroneous responses, flagging and resolving inconsistencies.
  • Identify and escalate anomalies, outliers, and quality issues in survey datasets before analysis begins.
  • Recode, rebase, and transform variables as required, including creating derived variables such as Top-2-Box scores, Net Promoter Score (NPS), and net agreement measures.
  • Code and categorise open-ended verbatim responses into manageable themes, leveraging AI-assisted text analysis tools where appropriate.

Crosstab & Tabulation Production
  • Build and maintain crosstab specifications in Displayr, producing efficient and accurate cross-tabulations across demographic, geographic, and attitudinal subgroups.
  • Develop templated, reusable Displayr setups to accelerate crosstab generation across recurring and tracking studies.
  • Generate toplines, frequency distributions, and banner tables to research specifications.
  • Ensure statistical significance testing (confidence levels, margin of error, p-values, chi-square) is applied correctly and clearly communicated in outputs.

Data Weighting
  • Apply and validate survey weights to ensure data is representative of target populations.
  • Work with senior researchers to understand weighting schemes (e.g., rim/raking weighting) and implement them accurately across domestic and international datasets.
  • Document weighting decisions and methodology for each project.

Statistical Analysis
  • Conduct descriptive and inferential statistical analysis including regression, segmentation, driver/key driver analysis, and cluster analysis.

Process Improvement & Automation
  • Identify opportunities to streamline and automate data processing workflows within Displayr and adjacent tools (e.g., R, Python scripts).
  • Help develop internal standards, templates, and documentation for data processing best practices across the research team.
  • Contribute to reducing reliance on external data processing vendors by building capacity in-house.
  • Stay current with Displayr platform updates, new features, and AI-powered automation capabilities that could benefit team productivity.

Collaboration & Delivery
  • Work closely with Research Consultants, Senior Consultants, and Account Directors to understand project specifications and deliver data to agreed timelines.
  • Prepare clean, well-labelled data files and crosstab outputs ready for analysis and reporting.
  • Communicate clearly about data issues, project status, and delivery timelines.
  • Support multiple projects simultaneously, managing competing deadlines with strong organisational discipline.

Skills & Experience
Technical - Required
  • Proficiency in Displayr, including crosstab building, variable creation, data cleaning, and reporting outputs. Displayr certification preferred.
  • Strong working knowledge of SPSS (or equivalent: Q Research Software, R) for survey data processing, weighting, and statistical analysis.
  • Solid understanding of core survey research methodologies: sampling, weighting, margin of error, confidence intervals, and significance testing.
  • Experience processing data from common survey platforms and working with SPSS .sav, Excel, and CSV file formats.
  • Familiarity with crosstab and tabulation standards used in public opinion and market research.
  • Proficiency in Microsoft Excel for data manipulation, formatting, and QA checks.

Technical - Preferred
  • Experience with R or Python for data processing, automation, or scripting repetitive tasks.
  • Familiarity with advanced analytical techniques: key driver analysis, MaxDiff, segmentation/clustering, TURF analysis, or conjoint analysis.
  • Experience with verbatim coding and/or AI text analysis tools.
  • Experience building interactive dashboards or reusable reporting templates in Displayr (or similar tools such as Power BI or Tableau), enabling self-serve data exploration for research and client teams.
  • Knowledge of rim/raking weighting methodology and tools.
  • Familiarity with data quality assurance tools or respondent fraud detection approaches.

Organisation & Communication
  • Strong attention to detail and commitment to data accuracy - errors in data processing have direct consequences for client strategy.
  • Ability to manage multiple projects and competing deadlines in a fast-paced, remote environment.
  • Clear written and verbal communication skills; ability to flag issues and communicate progress to non-technical colleagues.
  • Self-starter who can work independently and proactively identify where processes can be improved.
  • Comfortable collaborating across time zones with US-based and international team members.

Background
  • Undergraduate degree in statistics, quantitative social science, political science, data science, market research, mathematics, or a related field.
  • 1-3 years of experience in survey data processing, market research, or public opinion research. Relevant academic project experience will be considered.
  • Interest or experience in politics, public affairs, tech, or environment sectors is a plus, given Panterra Research's client portfolio.
  • Must be legally authorised to work in the United States and comfortable working remotely.

What Success Looks Like
  • Crosstabs and data outputs are delivered accurately and on time, reducing dependence on external vendors.
  • Data processing workflows become faster and more consistent through templates, automation, and improved documentation.
  • Research Consultants spend less time on data QA and processing and more time on analysis and insight development.
  • Anomalies and data quality issues are caught early, before they affect client deliverables.
  • The team has an in-house expert on Displayr who can train others and champion best practices.

What We Offer
  • Competitive salary commensurate with experience.
  • Flexible/unlimited vacation policy.
  • 13 paid holidays plus 8 additional "Lucky Fridays" off per year.
  • Several choices of healthcare plans.
  • 401(k).
  • Profit Sharing Program.
  • Yearly in-person all-staff retreats and regular regional in-person meetups.
  • A strong, supportive, and positive team culture.

We are a dynamic, diverse, and fast-growing company which believes in supporting our team members both professionally and personally. In addition to our teams in San Francisco, Washington DC, New York, London, Brussels and Abu Dhabi, we have an Associate network of global leaders and experts in their fields who employees have the chance to work with and learn from.
Panterra has a friendly company culture with regular social events and a flexible working environment. Moreover, we give all our employees a high degree of autonomy and responsibility early on in their careers, accelerating their progression to the benefit of both the individual and the company. This is especially important because the pace of the work is often fast, in line with the critical issues and events we are involved in. We are a privately-owned business, and our strength is in our people.
Our CSR Commitment
At Panterra, we pride ourselves on not only delivering exceptional strategic advice and services but on doing so with a deep sense of responsibility. We value giving back by striving to contribute to the betterment of society and a sustainable future. Our Corporate Social Responsibility (CSR) policy is a testament to our commitment to making a positive impact beyond business success. It is rooted in two main pillars: purpose-oriented projects and environmental responsibility. Panterra actively invests in the communities it serves through pro-bono projects which leverage the company's skills and networks. In addition, Panterra is dedicated to reducing its environmental impact. By offsetting our carbon footprint and implementing sustainable practices such as reducing waste, conserving energy, and promoting eco-friendly transportation, we ensure that our operations are aligned with a greener future.
To Apply
To apply for this position, please submit your CV and Cover Letter introducing yourself, and outlining your interest in this position. Please also highlight any relevant qualifications and/or experience, and why these make you suitable for the role.
Please note that due to the high volume of applications we receive, we may not be able to respond to all applicants.
We value diversity and aim for our workforce to be representative of all sections of society. Our recruitment process is competency based and no applicant will be discriminated against regardless of their race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, veteran status, age, or any other characteristic protected by law.
Thank you for your interest in this opportunity.