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Remote Predictive Analytics Jobs in California (NOW HIRING)

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

... predictive analytics, conversational intelligence, and more. Our mission is to build the world ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

... predictive analytics, conversational intelligence, and more. Our mission is to build the world ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

Data Architect- REMOTE

Santa Monica, CA · Remote

$71.50 - $92/hr

We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health ...

Data Architect- REMOTE

Santa Monica, CA · On-site +1

$71.50 - $92/hr

We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health ...

AI & Innovation Associate

Commerce, CA · On-site +1

$20 - $25/hr

Hybrid -- Remote Mondays and Fridays; in-office Tuesday through Thursday at our Commerce location ... Experience with ERP/MRP systems * Knowledge of machine learning or predictive analytics

New

AI & Innovation Associate

Commerce, CA · On-site +1

$20 - $25/hr

Hybrid - Remote Mondays and Fridays; in-office Tuesday through Thursday at our Commerce location ... Experience with ERP/MRP systems * Knowledge of machine learning or predictive analytics

New

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

... abnormality detection, predictive analysis, market segmentation, and competitive analysis ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Showing results 41-60

Remote Predictive Analytics information

What skills and qualifications are needed for remote predictive analytics?

To thrive in Remote Predictive Analytics, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree in data science, mathematics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based analytics platforms is essential, along with certifications such as SAS, AWS, or Google Cloud. Strong problem-solving, communication, and time management skills help professionals effectively interpret data insights and collaborate remotely with stakeholders. These competencies are critical for delivering accurate, actionable predictions and driving data-informed decisions in distributed work environments.

What is remote predictive analytics?

Remote predictive analytics jobs involve analyzing large datasets to identify patterns, trends, and future outcomes, all while working from a location outside of a traditional office. Professionals in these roles use statistical methods, machine learning, and data modeling to forecast business results and provide actionable insights. They often collaborate with teams virtually and use specialized software to process and interpret data. These positions are common in industries like finance, healthcare, marketing, and e-commerce where understanding future trends is crucial.

How do remote predictive analytics professionals collaborate with cross-functional teams?

Remote predictive analytics professionals frequently collaborate with data engineers, business analysts, and stakeholders through virtual meetings and shared digital platforms. They often participate in agile workflows, leveraging collaboration tools like Slack, Jira, or Trello to coordinate tasks and share progress. Effective communication of complex findings to non-technical team members is a key challenge, so clear documentation and visualization tools are essential. Building strong relationships remotely requires proactive engagement and regular check-ins to ensure project alignment and timely delivery of analytics insights.

What are the most commonly searched types of Predictive Analytics jobs in California?

The most popular types of Predictive Analytics jobs in California are:

What are popular job titles related to Remote Predictive Analytics jobs in California?

For Remote Predictive Analytics jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Remote Predictive Analytics jobs?

Cities in California with the most Remote Predictive Analytics job openings:

Business Intelligence Developer (hybrid / remote / onsite)

LaBine and Associates

El Monte, CA • On-site, Remote

Full-time

Re-posted 2 days ago


Job description

Full-time career opportunity for Business Intelligence Developer. This employer is a large publicly traded bank headquartered in Southern California, United States. It was founded in 1973 in Los Angeles to serve the Chinese American community in Southern California.
Responsibilities:
  • Be part of a collaborative BI team, data engineers, DBA groups, and business partners to create technical requirements, database design, and BI solutions that will empower business partners to embrace data confidently and responsibly to address their complex challenges
  • Designing and Implementing tools for analyzing complex large-scale datasets used for modeling, data mining, research, and Predictive analytics.
  • Rapidly iterate, prototype, and implement visualizations that meet business visualization needs, considering composition, color, texture, and optimizing the depth and information density for the business users.
  • Power BI and SSRS administration for on-premises and Reporting Services
  • Build enterprise scalable, complex data visualizations, dashboards, KPI scorecards, KRI reports, etc. in Power BI Desktop
  • Provide user experience inputs to business teams on report/dashboard design.
  • Leverage knowledge of data modeling methodologies and other data warehousing activities to translate data into actionable analytical solutions and promote information-based decision-making recommendations.
  • Determine and implement the security model based on business requirements, confirm safeguards are followed, address any data quality issues, and data governance processes are followed for the data model.
  • Using past experiences, make recommendations on Enterprise BI standards/best practices
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, validation, and documentation.
  • Performance tuning and query optimization
  • Provide guidance to other BI developers with oversight from the BI Managers and Leads
  • Implement statistical or other mathematical methodologies as needed for specific models or analysis
  • Keep up to date with the latest technology trends

Required Qualifications:
  • At least 7 years practical experience with business intelligence solution including building/supporting data-intensive systems, data warehouses and data marts with clear understanding of industry-standard concepts (star schema, snowflake, ER)
  • 3+ years hands-on experience in Data Visualization or advanced analytics using Power BI
  • Proficient in DAX and M queries
  • Expertise in SQL, ELT/ETL, reporting and Visual Analytics tools including SSMS, SSRS, SSIS and Power BI, with proven implementation and adoption in a large-scale enterprise environments
  • Solid T-SQL knowledge and SQL query development using MS SQL 2016 or later
  • Expertise skills in data visualization, user interface design and the software development life cycle to develop data products and expertise in demonstrating the work to business groups.
  • Proficiency in data analysis, data profiling, data mining, data extraction, and data enrichment
  • Creative problem solver who thrives when presented with a challenge
  • Excellent attention to detail
  • Comfortable in both a leadership and team-player role
  • Able to multitask, prioritize, and manage time effectively
  • Excellent communication, interpersonal and organizational skills

Desired:
  • MS in Computer Science, Information Systems, Data Science, Data Analytics or equivalent combination of skills, experience and education
  • Software language - C#, Power Shell, Python, .NET
  • Experience in Cloud Data Warehouse technologies such as AZURE Data Warehouse, Synapse Analytics, Azure Data Lake, Snowflake.
  • Experience in banking or financial services
  • General understanding and wide application of advanced principles, theories, concepts, tools, and techniques in user interface design for data science and data visualization applications.
  • Experience with DevOps, Continuous Integration, and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) is a plus
  • Understanding of Machine Learning
  • Understanding of cloud platform maintenance and experience in migrating legacy systems to new-age technologies.
  • Understanding of Adobe Analytics and Omniture, Google Analytics, and other Social/App Tracking Tools
  • Understanding of analytical methods and regression models, advanced analytics software (SAS, R, Python, and others), big data programming
  • Have solid/emerging experience with statistical modeling, analytics, database usage, and design theories

LaBine and Associates logo

About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

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