$63K - $121K/yr
Familiarity with Looker (LookML) or other modern BI modeling layers. * Basic understanding of Airflow for scheduling and monitoring data pipelines. * Experience with Python for data manipulation or ...
$63K - $121K/yr
Familiarity with Looker (LookML) or other modern BI modeling layers. * Basic understanding of Airflow for scheduling and monitoring data pipelines. * Experience with Python for data manipulation or ...
Looker Lookml information
What is a Looker LookML developer?
A Looker LookML Developer is a professional who specializes in creating, maintaining, and optimizing data models using LookML, the modeling language of Looker. They build scalable and efficient data structures that enable users to explore, visualize, and analyze data in the Looker platform. Their responsibilities include developing dimensions, measures, and views, ensuring data accuracy, and supporting business intelligence initiatives.
What skills and qualifications are needed to thrive as a Looker LookML developer?
To thrive as a Looker LookML Developer, you need a strong background in data modeling, SQL, and analytics, often supported by experience in business intelligence (BI) or data analysis roles. Proficiency with Looker, LookML, and familiarity with cloud data warehouses like BigQuery or Snowflake, as well as Looker certification, are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are key soft skills for translating business requirements into actionable data insights. These skills ensure accurate data modeling, clear reporting, and the effective delivery of business intelligence solutions to stakeholders.
What challenges do Looker LookML developers face when collaborating with data analysts and business users?
Looker LookML developers often encounter challenges in translating business requirements into efficient data models and dashboards. Effective communication is key, as data analysts and business users may not always articulate their needs in technical terms. Additionally, balancing data model performance with flexibility for ad-hoc analysis can be complex. Working closely with stakeholders to iterate on requirements and providing clear documentation helps ensure the final product aligns with business goals while maintaining data integrity.
What is the difference between Looker Lookml vs Data Analyst?
| Aspect | Looker Lookml | Data Analyst |
|---|---|---|
| Primary Role | Develops and maintains data models in Looker using LookML | Analyzes data, creates reports, and provides insights |
| Skills & Certifications | Knowledge of LookML, SQL, data modeling | Excel, SQL, data visualization tools, analytical skills |
| Work Environment | Data teams, BI departments, cloud-based platforms | Business units, analytics teams, cross-functional teams |
Looker Lookml specialists focus on building and managing data models within Looker, requiring technical skills in LookML and SQL. Data Analysts interpret data, generate reports, and support decision-making. While both roles work with data, Looker Lookml roles are more technical and model-focused, whereas Data Analysts are more business and insight-oriented.
What are popular job titles related to Looker Lookml jobs in Indiana?
For Looker Lookml jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Looker Lookml jobs in Indiana look for?
The top searched job categories for Looker Lookml jobs in Indiana are:
$63K - $121K/yr
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Job Description Summary
We are looking for a data-driven Analyst II, Analytics to join our team. In this role, you will bridge the gap between raw data and business strategy by developing automated dashboards, performing deep-dive analyses, and communicating actionable insights to stakeholders. This is a remote-friendly position suited for a mid-level professional with strong SQL skills and a passion for storytelling through data.How will you make an impact & Requirements
Role Overview: The Analyst II, Analytics will support our data initiatives by ensuring data integrity and delivering high-impact visualizations. You will work within the Google Cloud Platform ecosystem to transform complex datasets into clear, executive-level insights.
Key Responsibilities:
Data Analysis & Modeling: Write and optimize complex SQL queries in BigQuery to extract, clean, and model data for reporting.
Visualization: Design, build, and maintain high-performance automated dashboards in Tableau.
Pipeline Monitoring: Interface with Airflow to monitor data workflows and ensure reporting accuracy and freshness.
Stakeholder Collaboration: Partner with business leaders to define KPIs and present findings that drive departmental strategy.
Continuous Improvement: Assist in the potential migration or implementation of Looker for self-service analytics.
Required Qualifications:
2-4 years of experience in data analytics or business intelligence.
Advanced proficiency in SQL (ETL logic, window functions, and performance tuning).
Hands-on experience building production-level dashboards in Tableau.
Experience working within GCP (BigQuery) or a similar cloud data warehouse.
Preferred Qualifications:
Familiarity with Looker (LookML) or other modern BI modeling layers.
Basic understanding of Airflow for scheduling and monitoring data pipelines.
Experience with Python for data manipulation or automation.
Compensation Range:
$63,982.00to
$121,228.00The anticipated base salary range represents the Company's good-faith estimate of the compensation it reasonably expects to pay for this position at the time of posting. Actual compensation will be determined based on factors including experience, skills, qualifications, geographic location, internal equity, and business needs.