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Supervisory Intelligence Analyst Jobs (NOW HIRING)

GLDN

Business Intelligence Analyst

La Conner, WA · On-site +1

$75K - $125K/yr

Head of Data & Analytics Supervises: None (individual contributor role) FLSA Status: Exempt Pay ... Requirements QUALIFICATIONS Required 5+ years of work experience in business intelligence, data ...

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Supervisory Intelligence Analyst information

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$100.1K

$154.5K

How much do supervisory intelligence analyst jobs pay per year?

As of Jul 25, 2026, the average yearly pay for supervisory intelligence analyst in the United States is $100,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What are Supervisory Intelligence Analysts?

Supervisory Intelligence Analysts are professionals who oversee and coordinate the work of intelligence teams within government, military, or law enforcement agencies. They are responsible for managing the collection, analysis, and dissemination of intelligence information, ensuring accuracy and timeliness. Additionally, they provide guidance and mentorship to junior analysts, develop analytical strategies, and ensure compliance with agency policies and legal standards. Their work supports informed decision-making and enhances organizational security operations.

What are the key skills and qualifications needed to thrive as a Supervisory Intelligence Analyst, and why are they important?

To thrive as a Supervisory Intelligence Analyst, you need expertise in intelligence analysis, critical thinking, and a deep understanding of national security issues, typically supported by advanced degrees and relevant agency experience. Proficiency with intelligence analysis tools, classified databases, and familiarity with analytic methodologies is essential, along with any required security clearances. Leadership, effective communication, and decision-making skills are crucial for managing teams and coordinating complex projects. These abilities ensure the accurate assessment of intelligence, effective team performance, and informed decision-making critical to national security operations.

What is the difference between Supervisory Intelligence Analyst vs Intelligence Analyst?

AspectSupervisory Intelligence AnalystIntelligence Analyst
CredentialsBachelor's degree, security clearance, experience in intelligenceBachelor's degree, security clearance, entry to mid-level experience
Work EnvironmentTeam leadership, project management, strategic planningData analysis, research, report writing
Employer & IndustryGovernment agencies, defense, intelligence communityGovernment, private sector, consulting firms
Search & ComparisonOften compared for leadership roles, management dutiesFocuses on data analysis, research tasks

The main difference is that Supervisory Intelligence Analysts oversee teams and manage projects, while Intelligence Analysts focus on data collection and analysis. Supervisory roles require leadership skills and experience, whereas Intelligence Analysts typically perform the core analytical work.

What are some common challenges faced by Supervisory Intelligence Analysts when managing analytical teams?

Supervisory Intelligence Analysts often encounter challenges such as balancing administrative responsibilities with analytical oversight, ensuring clear communication among team members, and prioritizing competing intelligence tasks. They must also foster collaboration between analysts with diverse expertise and manage workflow to meet tight deadlines. Staying current with evolving threats and adapting analytical strategies to new information are key aspects of the role, requiring adaptability and strong leadership skills.
More about Supervisory Intelligence Analyst jobs
What job categories do people searching Supervisory Intelligence Analyst jobs look for? The top searched job categories for Supervisory Intelligence Analyst jobs are:
Infographic showing various Supervisory Intelligence Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $100,058 per year, or $48.1 per hour.
Business Intelligence Analyst

Business Intelligence Analyst

GLDN

La Conner, WA • On-site, Remote

$75K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Description
ABOUT GLDN
We're a high-growth, direct-to-consumer jewelry brand that brings personalized, meaningful designs to life for hundreds of thousands of customers each year. With a catalog of over 20,000 SKUs and a unique blend of made-to-order and in-stock products, we rely on data to drive smart decisions across our entire operation, from marketing and ecommerce to manufacturing and fulfillment.
THE ROLE
We're looking for a mid-to-senior level BI Analyst who can independently investigate complex business problems across marketing, ecommerce, operations, inventory, product, and finance, identify root causes, communicate insights clearly, and build scalable reporting and analytical solutions that drive action. While reporting directly to the Head of Data & Analytics, you will also serve as a strategic partner to business leaders across the organization - not only providing information, but advising on decisions and helping shape the processes through which those decisions are executed.
This role requires a unique balance of business acumen, independent problem-solving, and technical expertise. You will own our analytics front end (Sigma), work comfortably within our Snowflake data warehouse, and leverage data analysis, visualization, and monitoring to solve complex business challenges.
If you love turning messy business data into clean, trustworthy solutions - and you also love working in a non-traditional, eclectic, irreverent environment - keep reading.
JOB SPECS
Department: Data & Analytics
Reports To: Head of Data & Analytics
Supervises: None (individual contributor role)
FLSA Status: Exempt
Pay Scale: $75,000-$125,000 USD, depending on location and experience
Location: Remote or Hybrid (La Conner, WA) - international applicants encouraged to apply
Schedule: Full time
Benefits: Health insurance with HSA option (80% employer paid), employee paid Dental and Vision, 401(k), flexible PTO including holidays, employee jewelry discount, parental leave (may vary for international hires)
KEY RESPONSIBILITIES
  • Business Partnership & Requirement Gathering: Act as a dedicated data partner to business stakeholders. Meet regularly with teams to diagnose operational challenges, gather requirements, and proactively propose analytical solutions.
  • BI Development & Automation: Design, build, and maintain intuitive dashboards, interactive tables, automated alerts, and integrated workflows to support core business functions. Own and implement reporting standards across our Sigma instance.
  • Data Modeling & Transformation: Collaborate with our broader data team to advise on the design and maintenance of data models in our warehouse.
  • Independent Analysis & Experimentation: Utilize statistics, SQL, Python, R, or similar tools to conduct independent deep-dives, identify trends, and back up business hypotheses with rigorous analysis.
  • Data Literacy & Governance: Empower business users to leverage self-service data in Sigma safely and effectively, acting as a champion for metric consistency across the organization.

Requirements
QUALIFICATIONS
Required
5+ years of work experience in business intelligence, data analysis, or a highly analytical business role, with demonstrated experience analyzing business performance across multiple functions, including marketing, ecommerce, product, operations, inventory, finance, or supply chain.
E-commerce & Operations Exposure: General experience with e-commerce and manufacturing/ERP data.
Business Acumen & Fluency: Ability to move fluidly between executive-level business questions and detailed data analysis, translating ambiguous problems into actionable recommendations.
Scientific Problem Solving: A strong foundational habit of formulating clear hypotheses, systematically interrogating datasets to isolate variables, and validating findings with logical rigor before drawing conclusions.
Technical Breadth: Foundational knowledge of statistics (e.g., hypothesis testing, descriptive stats), experimental design, and A/B testing. Proficiency with SQL. Familiarity with dimensional modeling best practices. Familiarity with at least one data exploration and analysis language (R, Python, etc.).
Modern Data Stack Experience: Reasonable capability working with Snowflake (or equivalent) and navigating dbt models.
Mastery of Modern BI Tools: Deep, hands-on experience developing advanced, interactive dashboards, alerts, and automations with modern BI tools such as Tableau, Power BI, Looker, Sigma, Omni, or similar.
AI-Native: Hands-on experience using generative AI and agentic AI applications to enhance business intelligence workflows.
Understanding User Behavior: Demonstrated ability to anticipate how users will interact with a data product and what will be most useful for focusing their attention and driving decisive action.
Preferred
  • Specific experience with marketing attribution, product/collection performance, and supply chain analytics.
  • Experience with Sigma specifically, in addition to other modern BI tools.

SKILLS
  • You know our tools and data: You bring experience with modern data tooling and with the types of data that are core to our business (marketing, e-commerce, production, supply chain, customer service).
  • You're an investigative problem solver: You don't just build what people ask for; you ask "why" until you understand the root symptom, then build what they actually need.
  • You're an autonomous executor: You don't need a detailed feature list to get to work. Once given a strategic direction or a general problem to solve, you're excited to jump in, talk to the team, figure out what's actually broken, and own the solution end-to-end.
  • You're a translator: You excel at bridging the gap between technical data layers and non-technical business concepts.
  • You're highly curious: You constantly experiment with new tools and methodologies, and stay up to date with emerging technologies, particularly AI.
  • You value data trust: You care deeply about accuracy, knowing that a broken dashboard or an incorrect metric breaks trust with the business.

WHAT YOU'LL GAIN
  • Ownership of GLDN's analytics front end (Sigma) and a direct hand in how the whole company makes decisions.
  • A flexible remote or hybrid setup, open to international applicants.
  • Competitive pay: $75,000-$125,000 USD, depending on location and experience.
  • Comprehensive benefits, including 80%-employer-paid health insurance with an HSA option, dental, vision, 401(k), and flexible PTO (may vary for international hires).

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