Senior Business Intelligence Analyst

At Storable, we empower self-storage business owners to do more. Our mission is to make their jobs easier and more effective—giving them more time, more revenue, more control, and more access to leading technology. We build innovative tools and experiences that help our customers achieve their goals with greater efficiency and success.

Position Summary

We’re looking for a highly technical, hands-on analytics implementation specialist to design, deploy, and maintain our digital marketing measurement framework across thousands of websites and marketing platforms.

This role is not a performance analyst role. You will not be responsible for interpreting SEO/PPC performance or translating insights into campaign actions. Instead, you will be the technical measurement partner for our Digital Marketing Specialists—someone they can rely on to scope tracking needs, implement and validate data capture, troubleshoot issues, and build scalable reporting foundations.

You will own the end-to-end technical chain of measurement:

• Data capture (tags, GTM, data layer, consent)
• Data quality (validation, debugging, governance)
• Data delivery (GA4, Ads platforms, Clarity, and our internal pipeline through AWS S3)
• Data presentation (dashboards and reports in GA4, Looker Studio)

What You’ll Do (Key Responsibilities)

1) Measurement architecture & technical design

• Design and maintain a standardized measurement framework (events, parameters, conversions, attribution-friendly structures) across web properties and digital marketing platforms.
• Define and evolve the data layer specification (events, user identifiers where permitted, content metadata, ecommerce/lead flows, etc.) to support reliable downstream analytics.
• Produce implementation specs that digital marketing specialists and engineering teams can execute against (event dictionaries, tagging plans, QA checklists, deployment approaches).

2) Tag management, instrumentation & platform integrations

• Implement and administer Google Tag Manager (GTM) at scale, including reusable patterns, templates, variables, triggers, and governance.
• Configure and maintain GA4 tracking (events, conversions, custom dimensions/metrics, cross-domain considerations, referral exclusions where appropriate, etc.).
• Implement and validate tracking for Google Ads and Meta/Facebook Ads (pixels, conversion APIs if applicable, enhanced conversions where applicable, offline conversion approaches when needed).
• Deploy and maintain Microsoft Clarity instrumentation and validation.

3) Scalable deployment across thousands of sites

• Architect tracking solutions that can be deployed programmatically and maintained consistently across a large multi-site footprint.
• Build repeatable roll-out and change-management processes (versioning, environment separation, release notes, automated checks, and rollback plans).
• Create and maintain documentation for “one-to-many” measurement and reporting patterns.

4) Data quality, troubleshooting & governance

• Troubleshoot and resolve issues in GTM/GA4 implementations (missing/duplicated events, broken parameters, consent impacts, attribution anomalies tied to tagging, etc.).
• Establish ongoing monitoring for data integrity and tracking health (automated audits, alerts, and routine validation procedures).
• Ensure all tracking implementations comply with applicable privacy requirements and internal policy, including Consent Mode setups and consent-aware tagging strategies.

5) Dashboards, Visualization & reporting enablement (technical build)

• Build and maintain standardized dashboards and reporting assets in Looker Studio (and GA4 where appropriate).
• Create scalable reporting templates that support “one-to-many” client reporting (e.g., single dashboard template filtered per site/client with strong privacy boundaries).
• Ensure reporting definitions match the implemented measurement framework (metric definitions, filters, conversions, and data source consistency).

6) Enablement & internal support

• Serve as the technical measurement point-of-contact for Digital Marketing Specialists: intake requests, estimate effort, implement changes, and validate results.
• Provide training and documentation so teams understand the measurement framework, how to request changes, and how to QA tracking.

Qualifications (Required)

• 5+ years in web analytics implementation / digital measurement engineering (agency, SaaS, or multi-site environments strongly preferred).
• Deep hands-on expertise with:
• Google Tag Manager (GTM) (advanced implementations, governance, scalable patterns)
• Google Analytics 4 (GA4) (event design, conversions, custom dimensions, debugging)
• Looker Studio (dashboard build, data sources, template patterns)
• Google Ads + Meta/Facebook Ads tracking implementations
• Microsoft Clarity (or equivalent session/behavior tools)
• Strong technical understanding of how web data is captured and transmitted:
• HTML/JavaScript fundamentals, browser/debugging tools, tag firing logic
• Data layers (design and governance), event-driven tracking, cookies/local storage concepts
• Consent-aware measurement (Consent Mode, privacy-compliant tagging strategies)
• Demonstrated experience implementing visitor and customer identity stitching strategies, including:
• Designing and supporting anonymous-to-known user transitions (visitor → lead → customer)
• Implementing and maintaining user identifiers (where permitted) across platforms (e.g., Google Ads and Facebook Ads gclid /fbclid, GA4 User-ID, CRM IDs, hashed identifiers)
• Supporting cross-domain and cross-platform tracking scenarios
• Enabling connection of acquisition data (traffic source, campaign, channel) to downstream lifecycle data (conversion, retention, revenue, LTV)
• Collaborating with data/engineering teams to ensure identity signals flow reliably into data warehouses/data marts
• Proven ability to troubleshoot complex instrumentation issues end-to-end and communicate fixes clearly.
• Strong documentation and stakeholder-management skills (you can translate requirements into implementable specs and repeatable processes).

Qualifications (Nice to Have)

• Experience building or maintaining data layer → warehouse pipelines (you don’t have to be a data engineer, but you understand schemas, event versioning, and downstream BI needs).
• Familiarity with AWS S3, data marts, or analytics modeling concepts.
• Automation experience (GTM APIs, scripting with JavaScript/Python for deployment or QA).
• Experience with BI tools like Looker, Power BI/Tableau
• Certifications: Google Analytics / GTM.

Working Style / Attributes

• Implementation-first mindset: you’re happiest when measurement is accurate, resilient, and scalable.
• Detail-oriented and systematic about QA, documentation, and governance.
• Comfortable partnering with marketers and engineers, and owning technical outcomes without owning marketing strategy.