Company Description

At KEENFINITY, we are a globally leading provider of innovative and professional security and communication solutions. With over 4,200 employees in over 50 countries worldwide, our ambition is clear: we offer more than just technology – we secure, connect, and amplify the moments that matter in life.

Next to our passion for technology we’re very passionate about our work environment. Based on values such as trust, appreciation, and accountability we all work together to shape the future – boldly, customer-focused and with a strong team spirit.

Following our carve-out from Bosch, we now operate under Keenfinity, with renewed focus and investment in our Audio business — giving our iconic brands the independence and agility to thrive in today’s market. As part of a global family that includes RTS, Electro-Voice, Dynacord. and Telex, Keenfinity delivers world-class professional audio, intercom, and communications solutions that connect concerts, broadcasts, houses of worship, stadiums, and schools.

Job Description

The Data Analyst will be the measurement engine behind our digital experience stack—making sure we can see what’s happening, understand why and act on it. This role will own the implementation and maintenance of GA4, GTM, and data layer tracking across our key platforms, build dashboards for marketing and digital teams, and help teams run experiments and interpret results. This role will blend hands-on analytics engineering (tags, events, data layers) with storytelling: turning complex data into insights, narratives, and recommendations that influence roadmaps and campaign decisions.

Essential Functions

Analytics Implementation & Instrumentation

Own the configuration, implementation, and maintenance of GA4 and Google Tag Manager across web and digital properties.
Design and manage event tracking, custom dimensions, conversions, and enhanced measurement for key user journeys.
Collaborate with developers, digital platform owners, and BI to ensure a clean, well-documented data layer that supports reliable reporting.
Regularly audit tracking to identify gaps, duplicates, or inaccurate tags and implement fixes.

Dashboarding & Reporting

Build and maintain self-serve dashboards in tools like Power BI, Tableau, or Looker for marketing, digital, and leadership teams.
Standardize core metrics and definitions (traffic, engagement, lead quality, funnel performance, content performance, etc.).
Deliver regular performance reports (weekly/monthly/quarterly) highlighting trends, issues, and opportunities—not just numbers.

Testing, Experiments & Optimization

Support and help run A/B tests and experiments across the website and other digital surfaces.
Partner with digital, UX, and content teams to define hypotheses, success metrics, and test design.
Conduct basic causal impact analysis and lift measurement, and clearly communicate what worked, what didn’t, and what to do next.

Web Performance, SEO, GEO & On-Site Behavior

Analyze Core Web Vitals, page performance, and behavioral patterns (bounce rates, scroll depth, funnel drop-offs).
Track and report on SEO performance (organic traffic, keywords, landing pages) in partnership with SEO specialists or agencies.
Monitor on-site search behavior and navigation patterns to identify content gaps, UX friction, and new content opportunities.

Insight Generation & Roadmap Influence

Translate numbers into clear, actionable insights for marketing, content, and digital platform teams.
Provide input into platform and campaign roadmaps based on what the data actually shows—e.g., where to invest, what to fix, what to expand.
Support business cases for new features or experiments with data-backed recommendations and projections.

Partnership with BI & Data Teams

Collaborate closely with BI / data engineering on data ingestion, modeling, and integration into the broader data warehouse or lake.
Participate in data layer QA, ensuring event and user data are accurate, consistent, and usable downstream.
Help align digital analytics with broader business KPIs (pipeline, revenue, customer retention) and multi-touch attribution efforts where appropriate.

AI, Data Products & API Integration

Partner with digital experience, product, and engineering teams to define measurement requirements and success metrics for AI-powered features such as recommendations, predictive scoring, semantic search, and personalization.
Work with BI and data engineering to ensure the right events, features, and datasets are exposed via APIs and data pipelines to support AI and ML use cases across web and other digital properties.
Monitor the performance, quality, and fairness of AI-driven experiences, surfacing insights, anomalies, and improvement opportunities to stakeholders.
Document AI-related metrics, data flows, and dependencies so they are understandable, auditable, and maintainable across teams.

Qualifications

Required Qualifications

Bachelor’s degree in business, marketing, statistics, data science, economics, information systems, or a related field.
3–5 years of experience in digital/web or marketing analytics, with hands-on ownership of GA4 and Google Tag Manager (events, conversions, custom dimensions/metrics, and data layer–based tagging).

Preferred Qualifications

Proven experience building and maintaining self-serve dashboards in tools such as Power BI, Tableau, or Looker, including standardizing core metrics and visualizing performance for non-technical stakeholders.
Working knowledge of SQL (and/or a scripting language such as Python, Json or R) and experience partnering with BI/data engineering teams and data warehouses (e.g., BigQuery, Snowflake, Azure) to support reporting and analysis.
Experience supporting A/B testing and experimentation (hypothesis design, success metrics, and result interpretation), along with familiarity with SEO, GEO, and web performance concepts and tools (e.g., Search Console, Core Web Vitals, PageSpeed/Lighthouse).
Exposure to AI Automation, API Integration, and ML-powered digital experiences (such as recommendations, personalization, or semantic search) and the ability to measure their performance and turn findings into clear, actionable insights and recommendations.

Required Abilities

Ability to remain in a stationary position (sitting or standing) for extended periods while working at a computer, with regular opportunities to move or change position.
Requires visual acuity to view a computer monitor and read documents, as well as the ability to communicate clearly in person and through digital platforms.
Ability to maintain focus and productivity in a typical office environment with standard noise levels and ergonomic equipment.
Ability to occasionally lift and move standard office items or equipment (such as laptops, marketing materials, or small demo units) up to 25–30 pounds, with or without reasonable accommodation.

Additional Information

The U.S. base salary range for this full-time position is $72,000-$95,000 annually. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

At Keenfinity we don’t just build innovative solutions — we shape a smarter, more connected world through technology. We value different backgrounds, ideas, and experiences and we’re committed to growing, learning, and celebrating success as one team. Everyone is welcome here — we foster an environment where everyone is respected, valued, and encouraged to be their authentic self.

Keenfinity is an equal opportunity employer, offering equal opportunities for all. We welcome applications from people with disabilities and can offer support, if needed. When everyone has a chance to contribute, we all do better. All of your information will be kept confidential according to EEO guidelines.

✨ Job alerts

✨ Job alerts

Data Analytics Specialist