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Remote Big Data Analytics Jobs in California (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 ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Senior Consultant - Data & Analytics

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

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 ...

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 ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Support the development of data models and algorithms for more advanced analytics. * Reporting and ... Remote-based with potential for hybrid work arrangements. * Full-time position with standard ...

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

At Paychex, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers ...

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 ...

This is a remote role with periodic in-person team meetings in Pomona, CA . About the Role: We are seeking an experienced Senior Data Engineering & Analytics Lead to drive data strategy, build ...

Showing results 41-60

Remote Big Data Analytics information

What is a remote big data analytics?

A Remote Big Data Analytics job involves analyzing large and complex data sets to extract insights, identify trends, and support data-driven decision-making, while working from a location outside a traditional office environment. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret big data, often collaborating with teams virtually. They help businesses optimize operations, improve products, and better understand customer behavior. Remote Big Data Analysts must have strong analytical, technical, and communication skills to succeed in this flexible work arrangement.

What are the key skills and qualifications needed to thrive as a remote big data analytics professional?

To thrive as a Remote Big Data Analytics professional, you need a strong background in statistics, data modeling, and programming languages like Python or R, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools such as Hadoop, Spark, SQL databases, and cloud platforms like AWS or Azure, as well as certifications in these technologies, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are standout soft skills for this role. These skills enable effective data-driven decision-making and collaboration across distributed teams in dynamic business environments.

What are some common challenges faced by professionals working in remote big data analytics roles, and how can they be addressed?

Professionals in remote Big Data Analytics roles often encounter challenges related to data accessibility, effective communication with cross-functional teams, and managing time zones. Ensuring secure access to large datasets and collaborating efficiently with colleagues can be more complex when working remotely. To address these challenges, it's important to use robust cloud-based tools, establish clear communication practices, and schedule regular virtual check-ins. Additionally, developing strong self-discipline and time management skills can help maintain productivity and collaboration.

What is the difference between Remote Big Data Analytics vs Remote Data Engineer?

AspectRemote Big Data AnalyticsRemote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in analytics toolsBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data pipelines
Work EnvironmentData analysis platforms, cloud services, analytics toolsData pipelines, ETL tools, cloud infrastructure
Industry UsageFinance, healthcare, marketing, e-commerceTech, finance, healthcare, retail
Common Search & ComparisonYesYes

Remote Big Data Analytics focuses on analyzing large datasets to extract insights, using analytics tools and statistical methods. Remote Data Engineers build and maintain data pipelines and infrastructure to enable data analysis. While both roles work with big data, analytics professionals interpret data, whereas engineers develop the systems to process it.

What job categories do people searching Remote Big Data Analytics jobs in California look for?

The top searched job categories for Remote Big Data Analytics jobs in California are:

What cities in California are hiring for Remote Big Data Analytics jobs?

Cities in California with the most Remote Big Data Analytics job openings:

Sr Data Analytics Engineer - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$98K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description


The Data & Analytics team designs, develops, and supports the infrastructure to collect, analyze, and transform large volumes of business-data into enterprise reporting and analytic solutions. The Senior Data Analytics Engineer has strong organizational skills and the ability to manage a diverse work load in a fast paced environment. Job responsibilities include but are not limited to:
Duties and Responsibilities:
  • Analyze large data sets and extract patterns that lead to greater customer insight, optimized performance, enhanced engagement, improved retention, increased revenue and decreased cost.
  • Work with business partners and management teams to the ensure collection and analysis of appropriate data and metrics to facilitate improvements in processes and profit
  • Work with executives and leadership teams to formulate hypotheses and design research aimed at improving key performance indicators
  • Design and develop architecture and data integrity constraints with data infrastructure engineers to ensure the data collection pipeline and data analysis infrastructure meet the needs of the business
  • Identify requirements, design, create, deploy, and support self-service BI reports and cubes to empower discovery and information-sharing for business partners
  • Design, develop, implement, manage and monitor Business Intelligence dashboards
  • Utilize expertise in data modeling, ETL architecture, and report design for department initiatives, and produce detailed documentation including data flow diagrams, logical diagrams, and physical diagrams as needed

Scope (Required):
• Staff supervision and development - No
• Decision making-provides data for decision support, drafts policy
• Travel - less than 5%
• Location- remote, anywhere
• Flex Designation - Flex Workplan Designation
The anticipated salary range for this position is $98,500- $147,800 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.
Requirements
Education and/or Experience:
  • Bachelor of Science degree in Computer Science or Information Systems preferred
  • Masters of Science/Business or Advanced Certifications preferred
  • 4+ years relevant job experience in technology, analytics, or Business Intelligence
  • Experience designing, developing, deploying, and enhancing hi-visibility computer programs, analytics, dashboards and reports
  • Adept at rapid prototyping and deployment of stable and maintainable BI solutions
  • Hands-on experience with data-related programming and other high-level languages preferred
  • Strong knowledge of distributed computing, data warehouse, data mining, business analytics and software development
  • Significant experience with modern data analytics infrastructure, such as MS SQL Server (SSIS/SSRS), Tableau, SPSS, TM1, Netezza, Oracle, OBIEE, Financials, etc.
  • Strong knowledge of data structures, analysis, replication and distributed/ relational data & database mapping
  • Significant experience working with very large data sets and performing product- and business-level analysis
  • Hands on experience with SQL query language, data warehouse, RDBMS and common BI tools and techniques
  • Strong computer science, statistics and mathematics background
  • An analytical thinker that excels at analyzing and understanding data to answer questions
  • Equipped to handle responsibility, collaborate and excel in a fast-paced, small team environment
  • The incumbent must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others
Physical Requirements:
  • General office environment, ability to sit for long periods of time. Ability to move about an office.

About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.