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Looker Remote Jobs in Michigan (NOW HIRING)

Data Analyst

Zeeland, MI · Remote

$70K - $120K/yr

Domo * Tableau * Looker / Looker Studio * Bonus experience: * APIs or data integration ... We will not consider remote candidates. Pay Details: $70,000.00 to $120,000.00 per year Search ...

Analyst, Growth

Grand Rapids, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Warren, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Berrien Springs, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Flint, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Sterling Heights, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Rochester Hills, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Lansing, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Kalamazoo, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Ann Arbor, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Detroit, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Allendale, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

Analyst, Growth

Mount Pleasant, MI · On-site +1

$75K - $85K/yr

Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning, pricing, or go-to-market work Where: Remote, US The EverCommerce team is distributed globally, with ...

$60K - $93K/yr

Ability to interpret reports and compare analytics, experience with tools like Looker and PowerBI ... Achieve work-life balance through remote-first working conditions, generous time off, and wellness ...

Looker Remote information

What are the key skills and qualifications needed to thrive as a Looker Remote Data Analyst, and why are they important?

To thrive as a Looker Remote Data Analyst, you need strong analytical skills, experience with SQL, and a solid understanding of data modeling and visualization, typically supported by a degree in a quantitative field. Proficiency with Looker BI platform, LookML, and familiarity with cloud data warehouses like BigQuery or Snowflake are commonly required, with Looker certifications considered valuable. Excellent communication, self-motivation, and collaboration skills stand out for explaining insights and working effectively in distributed teams. These skills and qualities are essential for transforming complex data into actionable business intelligence in a remote work environment.

What are some common challenges faced by Looker Remote professionals, and how can they be addressed?

Looker Remote professionals often encounter challenges related to remote collaboration, data access, and communication across distributed teams. Ensuring clear and consistent communication with stakeholders is essential, as is maintaining secure access to data sources and Looker instances. Adopting best practices for version control, documentation, and regular virtual check-ins helps address these issues and fosters a collaborative, productive remote work environment.

What does a Looker Remote professional do?

A Looker Remote professional specializes in using Looker, a business intelligence and data analytics platform, to help organizations analyze, visualize, and share data insights. Working remotely, they build and manage dashboards, create data models, and generate reports to enable data-driven decision making. They may also assist in integrating Looker with other data sources and provide support or training to end users. The remote aspect allows them to perform all tasks from any location, collaborating with teams virtually to deliver business intelligence solutions.

What is the difference between Looker Remote vs Data Analyst Remote?

AspectLooker RemoteData Analyst Remote
Required CredentialsExperience with Looker, SQL, data visualization toolsStatistical knowledge, SQL, Excel, data visualization
Work EnvironmentRemote, collaborative teams, tech-focusedRemote, analytical tasks, cross-industry
Employer & Industry UsageTech companies, SaaS, data-driven firmsVarious industries including finance, marketing, healthcare
Search & Comparison IntentLooker skills, remote data rolesData analysis, remote data jobs

Looker Remote roles focus on using Looker for data visualization and analytics, requiring familiarity with Looker and SQL. Data Analyst Remote positions involve broader data analysis skills across industries, often emphasizing statistical knowledge and Excel. Both roles are remote and data-centric but differ in specific tools and industry applications.

What are the most commonly searched types of Looker jobs in Michigan? The most popular types of Looker jobs in Michigan are:
What are popular job titles related to Looker Remote jobs in Michigan? For Looker Remote jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Looker Remote jobs? Cities in Michigan with the most Looker Remote job openings:

Google Cloud Platform Data Engineer

Reliable Software Resources

Detroit, MI • Remote

$104.80K - $125.80K/yr

Other

Posted yesterday


Job description

Job Role: Google Cloud Platform Data Engineer

Location: Detroit, MI

Hire-type: Contract

Experience: 3–6 years  |  Detroit, MI (mandatory) — Remote up to 50% travel 

Python

Google Cloud Platform Native

BigQuery

ETL / ELT Pipelines

Data Modeling

SQL

ABOUT THE ROLE

As a Google Cloud Platform Data Engineer at DataFactZ you will design, build, and maintain cloud-native data pipelines and data warehouse solutions on Google Cloud. Working closely with data architects and analytics teams, you will deliver reliable ingestion, transformation, and serving pipelines that power enterprise reporting, analytics, and data products — handling structured and semi-structured data at scale using Python and Google Cloud Platform-native tooling.

 

KEY RESPONSIBILITIES

•      Build and maintain Python-based ETL/ELT pipelines for ingesting and transforming structured (BigQuery, Cloud SQL, Spanner) and semi-structured (JSON, Avro, Parquet, CSV) data on Google Cloud Platform

•      Develop batch and streaming data pipelines using Dataflow (Apache Beam) and Dataproc (PySpark) for large-scale data processing workloads

•      Implement data models in BigQuery including star schema, snowflake, and flat wide-table designs with appropriate partitioning and clustering

•      Write complex BigQuery SQL transformations, stored procedures, and scheduled queries for data warehouse population and aggregation layers

•      Build and maintain dbt models for transformation layer development, testing, and documentation within BigQuery

•      Orchestrate multi-step pipeline workflows using Cloud Composer (Airflow), handling dependencies, retries, and alerting

•      Ingest data from diverse sources including APIs, relational databases (Cloud SQL, AlloyDB), flat files, and streaming topics (Pub/Sub)

•      Monitor pipeline health, optimize query performance and costs in BigQuery, debug failures, and support production deployments

•      Write unit tests, maintain technical documentation, and participate in architecture and code reviews

 

REQUIRED SKILLS

•      Python: Strong proficiency for data pipeline development including pandas, PySpark, Apache Beam, and Google Cloud Platform client library usage

•      Google Cloud Platform services: Hands-on experience with BigQuery, Cloud Storage, Dataflow or Dataproc, Pub/Sub, Cloud Composer, and Cloud SQL

•      Data modeling: Practical experience implementing dimensional models (star/snowflake schema) and understanding of data warehousing concepts

•      SQL: Strong BigQuery SQL skills including window functions, nested/repeated fields, partitioning, clustering, and performance tuning

•      ETL/ELT pipelines: Experience building batch and streaming data pipelines for structured and semi-structured datasets

•      Data formats: Proficiency working with Parquet, Avro, JSON, and CSV in distributed processing contexts

•      Version control: Proficient with Git and collaborative development workflows

 

PREFERRED

•      Google Cloud Platform Professional Data Engineer certification

•      Experience with dbt for BigQuery transformation layer development

•      Familiarity with data quality frameworks: Great Expectations, dbt tests, or custom validation pipelines

•      Exposure to data catalog and lineage tooling: Google Cloud Platform Dataplex or Data Catalog

•      Experience with analytical or BI tooling: Looker, Looker Studio, or Tableau connected to BigQuery