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Pddn Jobs (NOW HIRING)

Python Data Engineer

San Francisco, CA · On-site

$110K - $130K/hr

Must have strong experience in Python Programming. Must have strong experience in SQL. Experience in building and optimizing data pipelines, architectures and data sets. Experience in processing and ...

Python SRE

Redwood City, CA · On-site

$61.50 - $84.75/hr

Python SRE Redwood City, CA Contract Responsibilities: * 3+ years of experience designing, building and implementing server software * Strong coding ability in an object-oriented language (Python ...

Role: Aspentech developer Location: Richmond, VA - ONSITE Job Type: Contract (C2C/W2) Interview: Phone/Video We are looking for a motivated, driven, and collaborative Aspentech Developer with ...

Lead Engineer LIMS - LabVantage

Cincinnati, OH · Remote

$98K - $129K/yr

Role name: Lead Engineer LIMS - LabVantage Work Location: Cincinnati, OH (open for remote in North America) Start date: Immediate availability. Work location: Cincinnati, OH Job Type: Contract (C2C ...

Lead Engineer LIMS - LabVantage

Cincinnati, OH · On-site

$98K - $129K/yr

Company Description Role name: Lead Engineer LIMS - LabVantage Work Location: Cincinnati, OH (open for remote in North America) Start date: Immediate availability. Work location: Cincinnati, OH Job ...

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Showing results 1-20

Pddn information

What is the difference between Pddn vs Data Analyst?

AspectPddnData Analyst
Required CredentialsTypically a diploma or associate degree in a related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentOffice settings, data processing centersOffice environments, often collaborating with various departments
Employer & Industry UsageUsed in logistics, manufacturing, and supply chain sectorsCommon across finance, marketing, healthcare, and tech industries
Common Search & ComparisonOften compared for entry-level data rolesCompared for analytical and data processing positions

The main difference between Pddn and Data Analyst lies in their typical educational requirements and industry usage. Pddn roles are more focused on data processing with a diploma or associate degree, mainly in logistics or manufacturing. Data Analysts usually hold a bachelor's degree and work across diverse industries analyzing data to support decision-making. Both roles involve working with data, but their scope and industry focus differ significantly.

More about Pddn jobs
What cities are hiring for Pddn jobs? Cities with the most Pddn job openings:
What states have the most Pddn jobs? States with the most job openings for Pddn jobs include:
Infographic showing various Pddn job openings in the United States as of August 2026, with employment types broken down into 16% Full Time, and 84% Contract. Highlights an 68% Physical, 16% Hybrid, and 16% Remote job distribution.

Looker BI Analyst (100% Remote)

Pddn

San Francisco, CA • Remote

Contractor

Re-posted 26 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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