Analyst, Advanced Analytics

Dig Insights

  • Toronto, ON
  • Permanent
  • Full-time
  • 22 days ago
Dig Insights is a tech-enabled research company that helps our clients - global consumer brands - move beyond consumer-centric to decision-centric. Our clients can then go to market with innovations that shift consumer decisions in their favor.Our work is supported by the technologies that we leverage and create. This includes Upsiide, our proprietary innovation insights platform. Upsiide is a SaaS platform that reinvents how enterprise companies screen, optimize, and build a business case for innovation.Our clients span verticals including FMCG, QSR, retail, technology, financial services, and telecommunications. Our work is led by a team of over 250 strategists, insights leaders and data scientists. We work for a global client base out of offices in Toronto, Chicago, and London.Our success is due to our strong commitment to our clients, and the creativity and dedication of our entire team. Since the beginning, we have been focused on building the smartest consumer insights company and that means hiring people who are bright, creative, resourceful, and kind. People who succeed at Dig are curious, question established norms and are passionate about helping our clients to move their businesses forward. If you want to join a team that takes themselves just seriously enough to produce great work, we'd love to welcome you.As we continue to grow, both geographically and in our expertise, we are looking for people who want to join a high-growth and highly collaborative company.Analyst, Advanced Analytics - About this roleAs a key member of Dig Insights' Advanced Analytics team, reporting to the Director of Advanced Analytics, you'll join a multidisciplinary group driving innovation across the company and the market research industry. You'll provide statistical and methodological expertise through all stages of projects, from planning to execution and visualization. At Dig Insights, we are committed to leveraging technology and data science-including automation and AI-to solve complex business problems and push the boundaries of what's possible in research.Your responsibilities will include, but are not limited to:
  • Application of choice modelling techniques (MaxDiff, conjoint, and discrete choice experiments) and development of simulators to visualize results.
  • Advanced multivariate analyses including, but not limited to, factor analysis, cluster analysis, Bayesian networks, revealed preference models, predictive modeling, and exploratory data analysis.
  • Building statistical analysis plans, writing programs to execute analyses, and assisting with interpretation using dynamic reporting in R and Python.
  • Generating and presenting impactful data visualizations (e.g., network maps, MDS and correspondence maps) to communicate findings to internal teams and clients when needed.
  • Writing automation scripts to streamline routine analytics tasks and elevate the depth and efficiency of insights.
  • Proactively researching and presenting opportunities to leverage artificial intelligence (AI) for advanced analytics and insight generation.
  • Exploring and testing applications of AI, such as synthetic data generation or other advanced methodologies, to expand Dig's research capabilities.
  • Collaborating with Dig colleagues-including software developers and other analytics experts-to develop innovative new methodologies and integrate with platforms via APIs.
  • Staying ahead of industry trends, especially in AI, automation, and analytics, and sharing knowledge to grow our collective expertise and capabilities.
  • Actively contributing to Dig's curious, collaborative, and engaged culture-always seeking new ways to push our analytical capabilities further.
Experience, Skills and Requirements:
  • University degree (or equivalent combination of education and work experience) in Mathematics, Statistics, Economics, Engineering, Computer Science, or related sciences. Master's preferred, but not mandatory for exceptional and motivated candidates.
  • Minimum 2 years of professional or academic experience with R and/or Python (R familiarity preferred).
  • Experience with Bayesian statistics is an asset.
  • Familiarity with large language models (LLMs) and AI prompting strategies.
  • Strong skills in data manipulation and analysis.
  • Excellent communication skills, both written and verbal.
  • Eagerness and aptitude to quickly learn new software and programming languages as required.
  • Additional programming or scripting experience, e.g., web development, C++, or similar, considered an asset.
  • Experience working with Microsoft Excel and PowerPoint.
  • Ability to thrive in a fast-paced and dynamic environment.
  • Strong work ethic, integrity, and professionalism.
  • Proactive and able to work independently and collaboratively.
  • Demonstrated curiosity, teamwork, and willingness to contribute to a culture of innovation.
  • Comfortable engaging with internal and external stakeholders.
Work Perks:
  • Hybrid working policy which gives the flexibility to employees to work remotely or in one of our office locations.
  • Unlimited vacation policy.
  • Reimbursement for health and wellness classes/memberships, and continuous learning.
  • Medical Insurance.
  • In-person and virtual social events such as poker night, paint night, trivia night and more!
To find out more about us visit us at &Our culture is built on 5 core values: Energy, Excellence, Evolution, Equality and Empathy. We believe that our success is dependent on the diverse talents, skills, and ideas of its staff. We are committed to creating an inclusive work environment and encourage applications from all qualified candidates including those in the BIPOC and LGBTQ communities, and from people with disabilities.We thank you for your interest in Dig Insights, however, only candidates who are chosen for an interview will be contacted.

Dig Insights