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Remote Dataiku Jobs in California (NOW HIRING)

Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark * Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with the ability to prioritize ...

Remote Dataiku information

How much do Dataiku consultants make?

Dataiku consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and project complexity. Senior consultants with specialized skills in data science and machine learning can earn higher salaries, especially when working on complex integrations or with certifications in Dataiku tools.

What is the difference between Remote Dataiku vs Data Analyst?

AspectRemote DataikuData Analyst
Required CredentialsDataiku certifications, data science skillsDegree in statistics, data analysis, or related field
Work EnvironmentRemote, collaborative data science platformsOffice or remote, data interpretation and reporting
Industry UsageData science, analytics, AI projectsBusiness intelligence, reporting, data interpretation

Remote Dataiku involves working with the Dataiku platform to build data pipelines and machine learning models remotely, often requiring technical certifications. Data Analysts focus on interpreting data, creating reports, and providing insights, typically with a background in statistics or business intelligence. While both roles work with data, Remote Dataiku emphasizes technical platform skills, whereas Data Analysts focus on data interpretation and reporting.

Is Dataiku low code?

Dataiku is a platform designed to support both low-code and no-code data science workflows, allowing users to build models with minimal coding. It provides visual interfaces and drag-and-drop tools suitable for users with varying technical skills, making it accessible for data analysts and business users as well as data scientists. Job roles involving Dataiku often require familiarity with its visual tools and some scripting for advanced tasks.

Is Dataiku a good company to work for?

Dataiku is known for fostering a collaborative work environment with a focus on data science and analytics tools. Employees often cite opportunities for skill development and a flexible remote work setup, making it a competitive employer in the tech industry. However, individual experiences may vary based on role and team dynamics.

Which 3 jobs will survive AI?

Data analysts, data engineers, and machine learning engineers are likely to continue thriving as AI advances because they require specialized skills in data management, programming, and model development that are difficult to fully automate. These roles involve critical thinking, domain expertise, and ongoing adaptation to new tools and techniques. Continuous learning and proficiency with AI and data tools are essential for job security in these fields.
What are the most commonly searched types of Dataiku jobs in California? The most popular types of Dataiku jobs in California are:
What job categories do people searching Remote Dataiku jobs in California look for? The top searched job categories for Remote Dataiku jobs in California are:
What cities in California are hiring for Remote Dataiku jobs? Cities in California with the most Remote Dataiku job openings:

Remote Data Analyst

Recruit Monitor

Long Beach, CA • Remote

Full-time

Posted 3 days ago

New


Job description

This position plays a supporting role in the modernization and transformation of the Annuity/Retirement Plan Services Valuation & Modeling team with new technology solutions. 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 provides a broad range of experiences and responsibilities, allowing for growth.What you'll be doing:

  • Supports and promotes change management and/or departmental/enterprise initiatives within assigned area(s) of responsibility.
  • Maintains knowledge on current and emerging developments/trends for assigned area(s) of responsibility.
  • Performs and delivers on routine assignments/projects for their assigned area(s) of responsibility.
  • Exports information from various applications/databases and uses analytical tools (i.e. SQL, MS Power BI, Tableau, Excel, etc.) to transform that data into meaningful reports and infographics.
  • Performs routine data mining, validation, and reconciliation of data across various applications.
  • Identifies and analyzes variances, and trends; researches inconsistencies/anomalies in the data and presents findings to management.
  • Develops creative charts, graphs and other visual aids in support of identifying trends to quantify performance of the business segment and to support decision making.
  • Performs what-if analysis in support of creating proposals for change and process improvement.
  • Develops queries and prepares data for diagnostic and predictive analytics.
  • Develops basic ad-hoc reports supporting projects and analysis.
  • Supports team members and/or management in developing basic recommendations to solve problem and issues related to identified trends and data insights.
  • Develops an understanding of best practices and suggests how to improve current practices

What we're looking for:Must haves:

  • 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's) (Minimum Required)
  • 0 - 1+ Years of experience in analytics that directly aligns with the specific responsibilities for this position (Required)

Nice-to-haves:

  • Demonstrated solid relationship management skills with internal clients (e.g. management, peers and colleagues).
  • Demonstrated ability to query and report off of SQL databases.
  • Experience with:
    • Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark
    • Coding with SQL, Hive, Python/R, SAS, VBA, etc.
  • Demonstrates excellent organizational skills with the ability to prioritize workload and multi-task while maintaining strict attention to detail.
  • Demonstrates strong interpersonal skills with a collaborative style.
  • Demonstrates the ability to use sound judgment and discretion regarding confidential information.
  • Finds common ground and can gain collaboration among management, colleagues and peers.