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

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

Job Title Marketing Data Analytics Client Confidential Location SF, CA (100% Remote- PST Work Hours) Rate $50/hr W2 MUST HAVES: 8+ yrs of IT/Engineering 4-yr Degree (Computer Science or Related) 5+ ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

Marketing Data Analytics

San Francisco, CA ยท Remote

$88K - $110K/yr

MUST HAVES: 8+ yrs of IT/Engineering 4-yr Degree (Computer Science or Related) 5+ yrs of Data Analytics, with specific work with Marketing contribution to Partner-Sourced Pipelines 3+ yrs Data ...

Data Analytics Engineer

San Francisco, CA ยท Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

NFL Data Scientist

San Francisco, CA ยท On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Soccer Data Scientist

San Francisco, CA ยท On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Tennis Data Scientist

San Francisco, CA ยท On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Sr. Data Analyst

San Francisco, CA ยท Remote

$90K - $130K/yr

... bridge analytics and data foundations. In this role, you'll not only analyze data to generate ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Sr. Data Analyst

San Francisco, CA ยท On-site +1

$90K - $130K/yr

... bridge analytics and data foundations. In this role, you'll not only analyze data to generate ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Lead Data Analyst

Foster City, CA ยท Remote

$120K - $160K/yr

Job Category As a key member of the Strategic Marketing & Analytics team, you will be responsible ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

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Remote Data Analytics information

See Berkeley, CA salary details

$30

$67

$115

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

As of Aug 12, 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 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 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.

Is data & analytics a good career for remote work?

Data & analytics roles are well-suited for remote work because they primarily involve computer-based tasks such as data analysis, visualization, and reporting using tools like SQL, Python, or Tableau. Many companies offer remote positions for data analysts, data scientists, and business intelligence professionals, often requiring strong communication skills and familiarity with cloud-based platforms. Remote work in this field provides flexibility and access to a global job market, making it a viable option for many professionals.

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.

Is it possible to work remotely as a remote data & analytics?

Remote data and analytics roles are widely available, with many companies offering flexible work arrangements. These jobs often require proficiency in tools like SQL, Python, or Tableau and may involve collaboration via cloud-based platforms, making remote work feasible for qualified candidates.
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 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $139,431 per year, or $67 per hour.

Remote Data Analyst

Landpoint

Fremont, CA โ€ข Remote

Full-time

Re-posted 13 days ago


Job description

What is data analyst ?

A data analyst is a professional who collects, cleans, and analyzes data to answer questions or solve problems. They work in many industries, including business, finance, science, medicine, and government

To excel as a remote data analyst, professionals must possess a combination of technical skills, soft skills, and industry-specific expertise. These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth.

Skills;

Analytical and problem-solving skills

Knowledge of statistics and mathematics

Experience with spreadsheets

Experience with statistical languages

Experience with scripting languages

Knowledge of database management systems

Data visualization skills

Data Analyst Job Description: Key Responsibilities

Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable insights. Their key responsibilities include:

Collecting and interpreting data from various sources: Data analysts are responsible for gathering data from multiple sources, such as databases, APIs, and spreadsheets. They then interpret this data, identifying patterns and trends that can provide valuable insights for the business.

Analyzing data to identify trends and patterns: Once the data has been collected and interpreted, data analysts use various statistical methods and tools to analyze it. By identifying trends and patterns, they can provide insights that help businesses make data-driven decisions.

Creating reports and visualizations to present findings: Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help businesses understand complex data and make informed decisions.

Collaborating with cross-functional teams to support business objectives: Data analysts work closely with various teams within the organization, such as marketing, sales, and product development. By collaborating with these teams, they can provide data-driven insights that help support the company's overall business objectives.

Ensuring data accuracy and compliance with relevant regulations: Data analysts must ensure that the data they collect and analyze is accurate and reliable. They must also comply with any relevant regulations, such as data privacy laws, to protect the organization from potential legal issues.

Technical Skills

Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources.

Data visualization tools: Mastery of visualization tools such as Tableau and Power BI helps analysts create impactful visual representations of their findings, making it easier for stakeholders to understand complex data.

Knowledge of statistical methods and machine learning algorithms: A deep understanding of statistical methods and machine learning algorithms allows data analysts to identify trends and patterns, providing valuable insights for decision-making.

Soft Skills

Effective communication and collaboration: Remote data analysts must be able to clearly and concisely communicate their findings and collaborate with cross-functional teams to support business objectives.

Attention to detail and problem-solving abilities: A keen eye for detail and strong problem-solving skills are essential for identifying data anomalies and ensuring data accuracy.

Time management and organization: Remote work requires excellent time management and organizational skills to stay on track and meet deadlines.

Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data analysts must be adaptable and committed to continuous learning to stay ahead of the curve.