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Remote Business Objects Jobs in Berkeley, CA (NOW HIRING)

Analyze data models and business requirements to create LookML objects. Design new LookML dimensions and Build Explores for users to answer business questions and optimize queries and reports for ...

Primary Job Template

San Francisco, CA · On-site +1

$120K - $128K/yr

... business. Success in this role means making fit, comfort, and functionality a true competitive ... We cannot support remote or Hybrid schedules.

Uses modelling to drive business results with data-based insights and tests the effectiveness of ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

We are a team of more than 175 people working in a hybrid-remote environment across North America ... As we scale our business, we grow our impact-enabling emergency managers to protect people ...

Lead Animator

Novato, CA · Remote

$123K - $182K/yr

... and mechanical objects. * Exceptional understanding of traditional animation principles, human ... for our players. #LI-Remote The pay range for this position in California at the start of ...

Remote Business Objects information

See Berkeley, CA salary details

$12

$67

$100

How much do remote business objects jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for remote business objects in Berkeley, CA is $67.02, according to ZipRecruiter salary data. Most workers in this role earn between $61.54 and $74.18 per hour, depending on experience, location, and employer.

What is a Remote Business Objects?

A Remote Business Objects job involves working with SAP Business Objects (BO) software to design, develop, and maintain business intelligence reports and analytics, all while working remotely. Professionals in this role use tools like Web Intelligence, Crystal Reports, and Universe Designer to transform raw data into meaningful insights. They collaborate with stakeholders to understand reporting needs, optimize data models, and ensure accurate business reporting. This position typically requires expertise in SQL, data warehousing, and BI tool administration.

What are the key skills and qualifications needed to thrive as a Remote Business Objects professional?

To excel as a Remote Business Objects (BO) professional, you need a strong background in business intelligence reporting, SQL, and data analysis, often supported by a degree in information technology or a related field. Proficiency in SAP BusinessObjects, data visualization tools, and understanding of data warehousing concepts is typically required, with certifications in SAP or BI platforms valued. Excellent communication, problem-solving abilities, and self-motivation are important soft skills for collaborating with remote teams and stakeholders. These skills ensure effective creation, maintenance, and optimization of business intelligence solutions that drive data-driven decision-making within organizations.

What are some common challenges faced by Remote Business Objects professionals, and how can these be effectively managed?

Remote Business Objects professionals often face challenges such as understanding complex business requirements without in-person meetings, ensuring data accuracy across distributed systems, and coordinating with teams in various time zones. To succeed, it's important to establish clear communication channels, use project management tools, and regularly participate in virtual meetings to align on goals. Continuous learning about new BI features and data integration techniques also helps overcome technical obstacles. Employers typically provide access to collaboration platforms and encourage engagement so team members feel connected and supported, even when working remotely.

What cities near Berkeley, CA are hiring for Remote Business Objects jobs?

Cities near Berkeley, CA with the most Remote Business Objects job openings:

Looker BI Analyst (100% Remote)

Pddn

San Francisco, CA • Remote

Contractor

Re-posted 13 days ago


Job description

Job Description:

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Must have 5+ years of experience with implementing and managing BI platforms for business intelligence, data applications, and embedded analytics.

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Experience with Looker a cloud-based business intelligence (BI) platform designed to explore and analyze data.

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Must have 2 years of experience in developing LOOKML, Looker Dashboards and Look-Linked Tiles.

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Must have strong expertise in SQL, preferably across multiple dialects.

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Build, maintain and administer Looker as the primary BI tool and be the driving force behind the adoption and effective use of Looker within every team.

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Must be a Data Explorer using Looker daily to create and curate content, as well as prior experience with data visualization and building reports.

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Experience with Looker Explores to query data, validate data accuracy, identify error sources and control content access for security.

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Experience in Data visualizations, Scheduling and sharing Looks and dashboards, Table calculations, Looker expressions, Custom and advanced filters, Impacts of pivoting.

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Experience with best practices around designing dashboards, Fundamentals of caching and reporting tools: Tableau, Excel, Power BI, etc.

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Maintain and debug LookML code, Build user-friendly Explores, Design robust models, Define caching policies, Understand various datasets and associated schemas.

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Experience with Looker IDE, Text editor, Looker's SQL Runner, Content Validator, LookML Validator and Version control.

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Troubleshoot errors in existing data models. Implement data security requirements. Analyze data models and business requirements to create LookML objects.

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Design new LookML dimensions and Build Explores for users to answer business questions and optimize queries and reports for performance.

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Implement persistent derived tables, caching policies, version control and assess code quality, utilize SQL Runner for data validation.

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Experience with Looker query builder, Looker SQL generator, LookML models and views.

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Knowledge with a scripting language (Python, Ruby, etc.) to build data models and ETL workflow modeling.

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Knowledge of relational Databases or Data Warehouses (Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, Snowflake, etc.)

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