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Remote Data & Analytics Jobs in Berkeley, CA (NOW HIRING)

Data Analyst

San Francisco, CA · On-site +1

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics Why ...

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

... data-proven results * Strong analytical, organizational and problem-solving skills including ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

This isn't a typical analyst role - you'll be the lead growth data scientist at Eight Sleep, owning ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of ...

Data, Systems, & Analytics * Lead ongoing maintenance of the enterprise data ecosystem (Salesforce ... For remote-based positions, this range may vary based on your local market. Full-time employment ...

Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of ...

Showing results 41-60

Remote Data Analytics information

See Berkeley, CA salary details

$30

$67

$115

How much do remote data & analytics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote data & analytics in Berkeley, CA is $67.03, according to ZipRecruiter salary data. Most workers in this role earn between $53.85 and $75.96 per hour, depending on experience, location, and employer.

What is a Remote Data & Analytics job?

A Remote Data & Analytics job involves collecting, analyzing, and interpreting data to help businesses make informed decisions, all while working from a remote location. Professionals in this field use tools like SQL, Python, Tableau, and Excel to process and visualize data trends. They collaborate with teams across different time zones to provide insights that drive business strategies. This role includes positions such as data analysts, data scientists, and business intelligence specialists, often requiring strong analytical and problem-solving skills.

What are some typical challenges faced when working remotely in a Data & Analytics position?

One common challenge is maintaining effective communication and collaboration with team members and stakeholders across different time zones, which requires proactive coordination and regular updates. Remote Data & Analytics professionals often need to independently manage their projects, troubleshoot technical issues, and ensure data security while working from home. Despite these challenges, many organizations support their remote teams with collaborative software, robust data platforms, and virtual meetings. Building strong documentation habits and establishing clear expectations with your team can help you succeed in a remote data analytics environment.

What are the key skills and qualifications needed to thrive in the Remote Data & Analytics position, and why are they important?

To excel in a Remote Data & Analytics role, you need solid analytical skills, experience with data visualization, and a background in statistics or a related field, often demonstrated by a relevant degree. Familiarity with tools and platforms such as SQL, Python, R, Tableau, or Power BI, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst, is highly beneficial. Effective communication, attention to detail, and strong time-management skills are crucial for collaborating and delivering insights across distributed teams. These competencies ensure accurate analysis, clear presentation of findings, and productive teamwork in a remote and data-driven work environment.

What are popular job titles related to Remote Data & Analytics jobs in Berkeley, CA?

For Remote Data & Analytics jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data & Analytics jobs in Berkeley, CA look for?

The top searched job categories for Remote Data & Analytics jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Data & Analytics jobs?

Cities near Berkeley, CA with the most Remote Data & Analytics job openings:

Infographic showing various Remote Data & Analytics job openings in Berkeley, CA as of August 2026, with employment types broken down into 2% Internship, 89% Full Time, 2% Part Time, 2% Temporary, and 5% Contract. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $139,431 per year, or $67 per hour.

Data Analyst

Cardless

San Francisco, CA • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the insights, processes, and decisions behind our co-branded credit card platform. In this role, you’ll work across domains including applications, accounts, transactions, fraud, risk, rewards, and partner operations to support high-impact initiatives and ensure the reliability, accuracy, and efficiency of our core systems and business workflows.

As an analyst at Cardless, you’ll dive deep into data, identify opportunities, streamline operational processes, and collaborate closely with cross-functional teams to deliver insights and durable improvements to our platform.

Responsibilities

  • Analyze operational, product, and financial data to identify trends, diagnose issues, and surface actionable insights

  • Build dashboards, reporting frameworks, and monitoring tools that improve visibility into system and business performance

  • Partner with product managers, engineers, and risk/compliance teams to support the design of new features, workflows, and policies

  • Evaluate and optimize business processes across the customer lifecycle (applications, onboarding, transactions, servicing, fraud, and rewards)

  • Perform deep-dive investigations into anomalies, system issues, or partner escalations; help determine root causes and drive remediation

  • Support forecasting, business reviews, and strategic planning with clear, data-driven analysis

  • Contribute to improving data quality, documentation, and analytical rigor across the organization

  • For senior candidates: provide guidance to teammates, lead medium-sized cross-functional projects, and influence strategic decisions

Requirements

  • 3–7 years of experience in an analytical, operations, strategy, or data-focused role

  • Strong proficiency with data analysis tools (SQL, Excel/Sheets, Python)

  • Experience using AI tools in a professional setting (e.g., for workflows, analysis, automation, or insight generation)

  • Demonstrated ability to integrate AI into day-to-day work (prompt design, model evaluation, data prep, or workflow optimization)

  • Experience working with large datasets and building reliable reporting/dashboarding (Looker, Tableau, Omni, Mode, or similar)

  • Solid understanding of business processes, KPIs, and analytical frameworks; able to independently break down ambiguous problems

  • Excellent communication skills — able to translate complex analysis into clear insights for technical and non-technical partners

  • Track record of collaborating effectively with product, engineering, or operations teams

  • Ability to manage multiple priorities, take ownership, and drive projects end-to-end

  • Curiosity, attention to detail, and a passion for building well-structured analytical systems and business processes

  • Bonus: experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics

Nice to have

  • Experience building or deploying internal AI tools, automations, or agents to improve productivity or business operations

  • Familiarity with financial systems, reconciliation workflows, or data integrity challenges

  • Experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics

Why Cardless

You’ll join a collaborative, fast-moving team that values craftsmanship, curiosity, and impact. We’re building products that enable leading brands to offer credit in new ways — and we’re just getting started.

This role has an annual starting salary range of $130,000-$200,000 + equity + benefits (see above). Actual compensation is influenced by a wide array of factors including but not limited to skills, experience, and specific work location.

Benefits

We're headquartered in San Francisco, CA, with a beautiful office in the Mission District. We're proud to offer our team excellent benefits:

Meaningful Start-up equity

100% health, vision & dental primary coverage

➕ 75% health, vision & dental dependent coverage

Catered lunches

$250/month Commuter benefit

Parental leave

✈️ Team building events & happy hours

Flexible PTO with a minimum of 15 days off per year

️ Apple equipment

401k plan

Location

We're headquartered in San Francisco, CA, with a beautiful office in Jackson Square. We welcome employees who want to work from this office; we offer additional benefits to those who do, and relocation assistance to those who'd like to.

We regularly bring our team together for offsites & trips, about every 2 months, both for fun and for work. We cover all travel & lodging in these cases.