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Remote Data Analysis Excel Jobs in Pinole, CA (NOW HIRING)

Swish Analytics

Soccer Data Scientist

San Francisco, CA · 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 ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · 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 ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

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 ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

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 ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Mindful Health Solutions

Revenue Analyst

San Francisco, CA · Remote

$72K - $90K/yr

Revenue Analyst - REMOTE About the Role: The Revenue Cycle Analyst will support management by ... Conducts comprehensive data analysis and modeling, manage complex data sets, identify quality data ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive models * Build features for predictive models * Partner with data analysts to integrate the results ...

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All JobsData Analysis Excel JobsRemote Data Analysis Excel JobsRemote Data Analysis Excel Jobs in Pinole, CA

Remote Data Analysis Excel information

See Pinole, CA salary details

$37.5K

$91.1K

$150K

How much do remote data analysis excel jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data analysis excel in Pinole, CA is $91,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $107,000.00 per year, depending on experience, location, and employer.

What is a remote data analysis Excel job?

A Remote Data Analysis Excel job involves analyzing and interpreting data using Microsoft Excel while working from a location outside of a traditional office setting. Professionals in this role use Excel to clean, organize, and visualize data, often creating reports, charts, and dashboards for decision-making purposes. They may work with large datasets, apply formulas, and utilize advanced Excel features like pivot tables and macros. Communication and collaboration are typically done through digital platforms since the work is performed remotely.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in Excel?

To thrive as a Remote Data Analyst specializing in Excel, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field. Advanced knowledge of Microsoft Excel functions, data visualization tools, and familiarity with databases or business intelligence systems are typically required. Attention to detail, problem-solving abilities, and effective communication skills help you deliver clear insights and collaborate remotely. These competencies ensure accurate data analysis, informed decision-making, and successful teamwork in a virtual work environment.

What are some common challenges faced by remote data analysts working primarily with Excel, and how can they be addressed?

Remote data analysts using Excel often face challenges such as managing large datasets that may slow down performance, ensuring data accuracy when collaborating asynchronously, and maintaining version control on shared files. To address these, many teams use cloud-based solutions like OneDrive or SharePoint for real-time collaboration and version history, and leverage Excel's advanced features such as Power Query and PivotTables for efficient data handling. Regular communication with team members and clearly defined file-naming conventions also help prevent errors and ensure everyone is working with the latest data.

What is the difference between Remote Data Analysis Excel vs Remote Data Analysis Power BI?

AspectRemote Data Analysis ExcelRemote Data Analysis Power BI
Required CredentialsExcel certifications, data analysis skillsPower BI certifications, data visualization skills
Work EnvironmentPrimarily Excel-based, cloud collaboration toolsPower BI dashboards, cloud platforms, collaboration tools
Industry UsageFinancial, marketing, operations analysisBusiness intelligence, reporting, data visualization
Search & Comparison IntentUnderstanding Excel data analysis rolesComparing data visualization tools in analysis roles

Remote Data Analysis Excel focuses on data manipulation and analysis within Excel, suitable for roles emphasizing spreadsheet skills. Remote Data Analysis Power BI involves creating interactive dashboards and visualizations, often used for advanced reporting. Both roles require data analysis skills but differ in tools and output focus, making them distinct yet related career paths in data analysis.

What job categories do people searching Remote Data Analysis Excel jobs in Pinole, CA look for?

The top searched job categories for Remote Data Analysis Excel jobs in Pinole, CA are:

What cities near Pinole, CA are hiring for Remote Data Analysis Excel jobs?

Cities near Pinole, CA with the most Remote Data Analysis Excel job openings:

Remote Data Analysis Excel jobs near you

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 4 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base Salary: Starting at $130,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote

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