1

Looker Jobs in Virginia (NOW HIRING)

Proficiency with tools like dbt, Looker, or other data visualization tools, along with a solid grasp of statistical fundamentals (A/B testing, regression) * Familiarity with leading product analytics ...

Proficiency with analytical tools like SQL, Excel, and BI platforms (e.g., Power BI, Tableau, Looker). * Strong communication skills--you can explain your thinking clearly and adapt to different ...

Showing results 41-60

Looker information

See Virginia salary details

$36

$60

$82

How much do looker jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for looker in Virginia is $60.61, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $66.73 per hour, depending on experience, location, and employer.

What is a Looker?

A Looker job typically involves working with Looker, a business intelligence (BI) and data visualization platform. Professionals in this role use Looker to analyze data, create reports, build dashboards, and help organizations make data-driven decisions. They often work with SQL, LookML (Looker’s modeling language), and various data sources to develop insights. Common job titles include Looker Developer, Looker Analyst, and Looker Administrator. Responsibilities may also include optimizing queries, managing user permissions, and ensuring data accuracy.

What does a Looker do?

A typical day for a Looker specialist consists of gathering business requirements, building or maintaining data models in LookML, and generating insightful dashboards and reports for various departments. You'll frequently collaborate with business stakeholders to understand their data needs and translate them into actionable analytics solutions. Troubleshooting data discrepancies, optimizing queries for performance, and documenting processes are also common tasks. You may attend meetings with product, marketing, or finance teams to provide data-driven insights, making this a highly interactive and impactful role.

What are the key skills and qualifications needed to thrive as a Looker?

To excel as a Looker (Data Analyst or Business Intelligence Specialist working with Looker), you need strong analytical abilities, experience with data visualization, and a solid understanding of SQL and database structures. Familiarity with the Looker BI platform, including LookML, and often certifications such as Looker Business Analyst or Data Analyst, are highly valuable. Outstanding communication and problem-solving skills allow you to interpret data effectively and translate insights for diverse stakeholders. These competencies are essential to drive informed business decisions and maximize the value organizations gain from their data.

What are the most commonly searched types of Looker jobs in Virginia?

The most popular types of Looker jobs in Virginia are:

Infographic showing various Looker job openings in Virginia as of August 2026, with employment types broken down into 68% Full Time, 19% Part Time, and 13% Contract. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $126,071 per year, or $60.6 per hour.

Senior Consultant/ Manager- Banking

Tiger Analytics Inc.

Richmond, VA

Full-time

Re-posted 19 days ago


Job description

Tiger Analytics is looking for experienced Senior Consultant/ Manager to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are looking for a Senior Consultant/ Manager - with strong experience in Python, SQL, Snowflake, and cloud technologies. The ideal candidate will have hands-on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision-making.

This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.

Key Responsibilities

  • Partner with business stakeholders to understand and translate business needs into solution requirements.
  • Work with large datasets using Python/PySpark (Databricks/Jupyter) for data processing and analysis.
  • Write efficient SQL queries for data extraction, transformation, and validation.
  • Familiarity with regulatory reporting (e.g., CCAR, Basel, AML/KYC) and consumer financial data.
  • Experience handling large-scale consumer banking, credit risk, or payment processing datasets.
  • Consume and manage data from AWS S3 and integrate with downstream systems.
  • Leverage Snowflake for data warehousing, modeling, and performance optimization.
  • Build and maintain dashboards (Tableau, Power BI, or QuickSight) for business stakeholders.
  • Collaborate with cross-functional teams to translate business requirements into data solutions

Requirements

  • Master's degree in Computer Science or any related field
  • 7+ years of experience in Data Analytics, preferably within Tier-1 financial institutions, top 10 U.S. national banks, or global consumer banking.
  • Strong expertise in SQL for querying and manipulating large datasets.
  • Proficiency in Python for data analysis and scripting.
  • Experience with data visualization tools (Power BI, Tableau, Looker, etc.).
  • Hands-on with AWS (S3) and Snowflake
  • Understanding of banking/financial services data is must have
  • Experience working in a client-facing or consulting environment.
  • Hands-on experience in data analysis, data profiling, and exploratory analysis.
  • Hands-on experience in analyzing, identifying, and documenting transformation logic and rules.
  • Excellent teamwork and problem-solving abilities.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.