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Magnet Forensics

Director, Data & Analytics

Posted 5 Days Ago
Be an Early Applicant
Hybrid
4 Locations
Senior level
Hybrid
4 Locations
Senior level
The Director of Data & Analytics will lead analytics initiatives, develop strategies for data analytics, oversee data-driven project management, and guide the team in data modeling and analysis. The role involves collaboration with cross-functional teams, presenting findings to management, and ensuring data governance and quality.
The summary above was generated by AI

Who We Are; What We Do; Where We’re Going


Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.

 

Serving over 4,000 customers in over 100 countries, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.

 

With employees based around the world, Magnet Forensics has been expanding our global presence with offices in Waterloo and Ottawa, Canada; Atlanta, GA, Herndon, VA, Westminster, CO; and Singapore. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.

 

If you think you would be the right person to join our team working towards this goal, we would love to hear from you! 


What we are looking for:


We are seeking an experienced and visionary Director of Data & Analysis to lead our analytics and drive our data-driven initiatives. The ideal candidate will have a strong background in data analysis, modelling, machine learning, and analytics practices, with a proven track record of leading teams and delivering impactful data solutions. This role requires strategic thinking, curiosity, excellent leadership skills, and the ability to communicate complex data concepts to non-technical stakeholders.



Role Responsibilities:

  • Leadership and Strategy: Develop and implement the data analytics strategy in alignment with the company’s goals. Establish an Advanced Analytics Centre of Excellence to lead and mentor a team of data analysts, and engineers through analysis and experiments.
  • Project Management: Oversee the planning, execution, and delivery of data driven projects. Ensure projects are completed on time and meet the desired outcomes.
  • Data Analysis and Modeling: Guide the team in data modelling, building predictive models, machine learning algorithms, and statistical analysis to solve complex business problems.
  • Collaboration: Work closely with cross-functional teams, including product, engineering, marketing, sales, and operations, to integrate data science solutions into business processes.
  • Innovation: Stay updated with the latest advancements in data science and machine learning. Foster a culture of innovation and continuous improvement within the team.
  • Communication: Present findings and insights to senior management and other stakeholders. Translate complex data concepts into actionable business recommendations.
  • Data Governance: Ensure data quality, integrity, and security across all data science initiatives. Implement best practices for data management and governance.
  • Be a champion for a data-driven decision culture

Qualifications:

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • 10+ years of experience in data science or a related field, with at least 5 years in a leadership role
  • Strong leadership and team management skills
  • Excellent communication and presentation abilities
  • Strategic thinking and problem-solving skills
  • Ability to work in a fast-paced, dynamic environment
  • Ability to handle multiple projects at a time with ease

Technical Skills:

  • Expertise in dimensional data modeling and Business Discovery
  • Expertise in machine learning, statistical modeling, and data mining
  • Familiarity in programming languages such as Python, R, and SQL
  • Expertise with lakehouse architecture and cloud platforms (e.g., Snowflake, BigQuery, Redshift )
  • Familiarity with data visualization tools (e.g., Tableau, Power BI)
  • Familiarity with Semantic Layers and Tools (e.g. DBT, Informatica)
  • Expertise in Governance and Dev Ops frameworks to manage Data Products

The Most Important Thing:

We’re looking for candidates that can provide examples of how they have demonstrated Magnet CODE in their previous experiences:


CARE – We care about each other and our mission to make a difference in the world.

OWN – We are accountable for our results – while never forgetting to act with integrity, empathy, and respect.

DEDICATE – We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect.

EVOLVE – We are constantly innovating and exploring new ways to work together to make an impact with our work.


Compensation and Benefits:

The Compensation Range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you.

 

If the compensation structure for the role includes an incentive component (ie. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable).


Compensation Range:

MIN: $155,200 - MID: $194,000 - MAX: $232,800 CAD 

MIN: $180,000 - MID: $225,000 - MAX: $270,000 USD


Magnet is proud to offer benefits such as:

• Generous time off policies 

• Competitive compensation 

• Volunteer opportunities

• Reward and recognition programs

• Employee committees & resource groups

• Healthcare and retirement benefits 


We’re committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways.

 

Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

 

We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. If you require accommodation, please let our talent team know, or you can email [email protected].


All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment.

Top Skills

Data
Machine Learning
Modeling

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