Worker Sub-Type:
Regular
Position
The Marketing Operations teamislooking foradata-drivenMarketing Analytics ManagertospearheadmarketinganalyticsinitiativeswithinourSecure Communications divisionIn this pivotal role, you will transform complex datasets into actionable insights that shape marketing strategies, optimize campaign performance, and drive measurable business outcomes. Reporting to the Senior Director of Marketing Operations, you will own the development and execution of an analytics framework that measures success, uncovers growth opportunities, and informs high-impact decision-making.
To excel in this role,you’llneeda strong foundationin data analytics, excellentcommunication skills, and the ability to thrive in a fast-paced, dynamic environment with competing priorities. You will play a critical role in building the analytics infrastructure that supports scalable growth and empowers data-driven decision-making across the organization.
The Ideal Candidate
You area hands-on, results-orientedanalystwith a deep understanding of the marketingecosystem and a passion forturningdata into compelling insightsYou excel at solving complex problems, delivering actionable insights, and influencing marketing strategies through rigorous analysis.With a balance of strategic vision and attention to detail, you have a proventrack recordof not only extracting insights from data but also visuallyrepresentingthem in a way that clearly communicates the “so what.” You understand the power of data visualization to tell a story, highlight opportunities, and drive informed decision-making.
Key Responsibilities
Strategic Analytics and Collaboration
Develop and implement a comprehensive analytics strategy to measure performance across all marketing channels, including digital advertising, content marketing, email campaigns, social media, and web.
Partner with marketing teams to define measurementobjectives, align on key metrics, and integrate analytics insights into strategic planning and execution.
Establish governance standards, data stewardship practices, and tooling to ensure analytics and reporting are trusted, secure, and compliant.
Create and maintain technical documentation, such as architecture diagrams, data models, and technical guides, to support analytics infrastructure and processes.
Data Integrationand Collection
Lead the integration of marketing data from multiple sources, including analytics platforms (e.g., GA4), CRM systems, advertising and social platforms, and BI tools (e.g., Tableau).
Design and implement data models and pipelines to enable seamless dashboarding and reporting.
Collect, organize,and maintain marketing performance data from campaign platforms, digital channels, and internal systems.
Ensure data integrity through rigorous quality checks, troubleshooting discrepancies, and maintaining consistent measurement frameworks.
Perform QA and debugging of analytics tags, data flows, and tracking mechanisms.
Identify gaps in measurement approaches and recommend improvements to enhance accuracy and completeness.
Reporting & Dashboards
Design, build, and maintain real-time dashboards and reports thatprovideclear visibility into marketing KPIs and enable proactive performance monitoring
Establish and managea regularreporting cadence (weekly, monthly, quarterly) to track progress, trends, and insights with consistency and precision.
Present findings, insights, and actionable recommendations to marketing leadership and key stakeholders to inform decision-making.
Marketing Performance Analysis& Optimization
Conduct in-depth analyses of campaign performance, channel ROI, and audience engagement trends to uncover actionable insights.
Monitor live campaign datato identify early warning signs of underperformance and proactively flag issues to stakeholders.
Support GA4 analysis and ad-hoc reporting requests, including site performance, A/B testing, and content engagement metrics.
Identify trends, conversion points, and optimization opportunities across the buyer’s journey to enhance marketing effectiveness.
Develop and refine multi-touch attribution models to accurately measure the impact of marketing activities across channels.
Analyze budget spend efficiency across paid campaigns and recommend optimizations to maximize ROI.
Contribute to forecasting andKPI modeling by leveraging historical data and market projections.
Translate complex quantitative and qualitative data into actionable recommendations to improve campaign performance and elevate the customer journey.
RequiredQualifications
5+ years of experience in marketinganalytics, data analysis, or a related field.
Provenexpertisein building data flows, designing data pipelines, and managing data integration across complex systems.
Strong technicalproficiencywith analytics platforms (e.g., GA4, Adobe Analytics), CRM systems (e.g., Salesforce, Pardot), and BI tools (e.g., Tableau, Looker).
Demonstrated experience in developing and managing marketing dashboards and reports that drive actionable insights.
Ability to create and define new metrics while owning marketing performance measurement frameworks.
Proficiencyin SQL, Python, or similar data manipulation languages for data analysis and reporting.
Hands-on experience with multi-source data collection and integration across MarTech ecosystems.
Deep understanding of attribution modeling, including multi-touch attribution frameworks and marketing measurement methodologies.
Experience conducting A/B testing analysis and applying statistical methodologies to optimize marketing performance.
Excellent written and verbal communication skills, with the ability to present complex data insights to both technical and non-technical audiences.
Strong organizational skills with the ability to thrive in a dynamic, collaborative environment and manage competing priorities effectively.
Detail-oriented with exceptional analytical and problem-solving capabilities.
Required Technical Skills
Analytics & BI Tools:Proficiencyin GA4, Tableau, Looker, or similar platforms.
Data Management:Advanced skills in SQL, Python, or R for data manipulation and analysis.
CRM &MarTechExperience with platforms like Salesforce, Pardot, or similar tools.
Spreadsheet Proficiency Advanced Excel skills for data analysis and reporting.
Data Integration:Hands-on experience with ETL tools or data pipeline platforms.
Attribution Modeling:Expertisein implementing and managing multi-touch attribution frameworks.
Scheduled Weekly Hours:
40
Compensation Hiring Base Salary Range:
$89,600.00 - $126,000.00
Please be advised that the compensation hiring range indicated herein is provided solely as a good-faith estimate of expected base compensation for the position. The actual compensation offered will be determined at the time of hire and is contingent upon multiple factors, including but not limited to the candidate’s qualifications, relevant experience, demonstrated skills, and results of assessments conducted during the hiring process.
Bonus:
The BlackBerry Variable Incentive Pay (VIP) program is an organization-wide bonus incentive program which aims to reward full-time eligible employees for their contribution to BlackBerry’s success. VIP payments are made in addition to base salary and factor in company’s performance as a way for employees to share in BlackBerry’s achievements.
Benefits:
The BlackBerry Employee Benefits programs offer a wide range of benefits that support your physical, financial and personal well-being. BlackBerry remains committed to offering affordable benefits including coverage for medical, dental, vision, life, disability insurance, retirement, employee share purchase program and paid-time-off to those that meet the eligibility requirements.
Disclosure of Position Status:
This is an active opening. We are seeking to fill this position immediately
Disclosure of Artificial Intelligence:
We do not use artificial intelligence (AI) to screen, assess, or select applicants at any stage of our recruitment process. All applications are reviewed and evaluated by our hiring team.

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