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Senior Looker Developer Jobs in Connecticut (NOW HIRING)

Entegral Financial Analyst

Waterbury, CT · On-site +1

$36.15 - $43.41/hr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

Hartford, CT · On-site +1

$36.15 - $43.41/hr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

Danbury, CT · On-site

$75K - $90K/yr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

Stamford, CT · On-site +1

$36.15 - $43.41/hr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

Norwalk, CT · On-site +1

$36.15 - $43.41/hr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

Hamden, CT · On-site +1

$36.15 - $43.41/hr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

Norwalk, CT · On-site

$75K - $90K/yr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

Hamden, CT · On-site

$75K - $90K/yr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

Danbury, CT · On-site +1

$36.15 - $43.41/hr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

New Haven, CT · On-site +1

$36.15 - $43.41/hr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

Entegral Financial Analyst

Bridgeport, CT · On-site +1

$36.15 - $43.41/hr

... for stakeholders and senior management. * Collaborate with product and engineering teams to ... Google Suite Experience (Looker Studio, Google Sheets) * AI Experience Qualified Candidates Should ...

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Showing results 1-20

Senior Looker Developer information

What are the key skills and qualifications needed to thrive as a senior Looker developer, and why are they important?

To thrive as a Senior Looker Developer, you need advanced experience in data modeling, SQL, and business intelligence concepts, typically supported by a bachelor’s degree in computer science or a related field. Expertise with Looker’s LookML language, dashboard development, and integration with SQL databases is essential, as are certifications in Looker or other BI tools. Strong analytical thinking, problem-solving, and clear communication skills help you understand business requirements and deliver actionable insights. These skills ensure you can build scalable, efficient data solutions that drive informed decision-making across the organization.

What is a senior Looker developer?

A Senior Looker Developer is a data professional responsible for designing, building, and optimizing business intelligence solutions using Looker, a data analytics and visualization platform. They create data models, develop dashboards, and ensure that data is accessible and accurate for business users. Senior Looker Developers often collaborate with data engineers, analysts, and business stakeholders to translate business requirements into actionable insights. Their expertise includes LookML (Looker's modeling language), SQL, and best practices for data visualization and reporting. They also mentor junior developers and help drive the adoption of data-driven decision-making within organizations.

What is the difference between Senior Looker Developer vs Data Analyst?

AspectSenior Looker DeveloperData Analyst
Required CredentialsExperience with Looker, SQL, data modelingStatistical or data analysis degrees, Excel, SQL
Work EnvironmentData teams, BI departments, technical rolesBusiness units, reporting teams, cross-functional
Employer & Industry UsageTech, finance, retail, healthcareMarketing, finance, operations, consulting
Common Search & ComparisonFocus on BI tools, data modeling, dashboardsFocus on data interpretation, reporting, insights

The main difference is that a Senior Looker Developer specializes in building and maintaining Looker dashboards and data models using Looker and SQL, while a Data Analyst focuses on interpreting data, generating reports, and providing insights across various tools. Both roles require strong SQL skills, but the Senior Looker Developer is more technical and platform-specific, whereas the Data Analyst emphasizes data interpretation and business understanding.

What are some common challenges faced by senior Looker developers when working on large-scale BI projects?

Senior Looker Developers often encounter challenges such as optimizing complex data models for performance, managing version control in Looker projects, and ensuring data consistency across multiple sources. Collaborating with data engineers, analysts, and business stakeholders to translate business requirements into effective LookML code can also be demanding. Staying current with Looker updates and best practices is essential to deliver scalable, maintainable solutions that meet evolving organizational needs.
What are the most commonly searched types of Looker Developer jobs in Connecticut? The most popular types of Looker Developer jobs in Connecticut are:
What are popular job titles related to Senior Looker Developer jobs in Connecticut? For Senior Looker Developer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Senior Looker Developer jobs in Connecticut look for? The top searched job categories for Senior Looker Developer jobs in Connecticut are:
What cities in Connecticut are hiring for Senior Looker Developer jobs? Cities in Connecticut with the most Senior Looker Developer job openings:

Senior Manager, Business Solutions

Sales and Marketing

Stamford, CT • On-site

Full-time

Posted 14 days ago


Job description

TITLE: Sr Mgr, Business Solutions (Multiple Openings)


LOCATION: Stamford, CT


JOB SUMMARY: Lead cross-functional teams to gather, analyze, and design business requirements for marketing analytics and application development projects. Architect, develop, and maintain full stack applications using Angular, JavaScript, .NET Core, and Oracle SQL to support marketing operations and reporting. Oversee the integration, transformation, and storage of user activity and campaign data in Snowflake or AWS, ensuring data is optimized for AI applications. Design and manage data pipelines using Snowflake or AWS’s native connectors (such as Snowpipe, Fivetran, AWS Glue, etc.) to efficiently load and transform data from Amazon S3 into Snowflake. Create new and advanced measurement and connecting Snowflake to visualization tools such as Power BI and Tableau Cloud, or Looker. Analyze attribution parameters to accurately credit SEM and SEO teams, using advanced data science and machine learning techniques. Collaborate with internal teams to design and implement secure media asset sharing platforms hosted on Charter’s proprietary in-house servers and cloud-native storage solutions. Apply data science methodologies, including statistical analysis, probability, and machine learning techniques using Python 3.12+, JupyterLab, scikit-learn, Pandas, and Plotly, to extract insights and support predictive modeling for marketing initiatives. Leverage Snowflake’s data processing and machine learning capabilities to build, train, and deploy scalable AI/ML models directly on data stored within Snowflake. Establish best-in-class governance of customer data, in compliance with current/future data security and privacy standards (e.g., GDPR, CCPA) when handling sensitive customer and campaign data. Provide technical leadership and mentorship to development and analytics teams, fostering best practices in cloud-native software engineering and data analysis. Architect new knowledge libraries of marketing data for ingestion into AI solutions.

 
EDUCATION / REQUIREMENTS: Bachelor's degree in Information Technology, Computer Science, Engineering (computer, electronics or communication), Data Science, or a related field. 5 years of experience utilizing JavaScript to develop interactive and responsive user interfaces for web applications. 5 years of experience utilizing .NET C# to build and maintain backend services and APIs for web applications. 5 years of experience utilizing Oracle SQL to design and optimize complex queries for large-scale relational databases. 4 years of experience applying advanced data science and machine learning techniques using Python, JupyterLab, scikit-learn, Pandas, or Plotly to analyze and visualize data. 3 years of experience designing and managing data pipelines to integrate, move, extract, transform, and load data between systems.


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Qualifications:Employment Type: Full Time