Lead Predictive Analyst
Kognitiv
IT
Ontario, Canada
Posted on Thursday, May 4, 2023
What We do:
Kognitiv empowers global brands to redefine loyalty through advanced data activation and multi-enterprise collaboration.
Founded in 2008, Kognitiv is challenging brands to redefine how they engage with their customers and deliver meaningful experiences that earn their lifetime loyalty. In June 2020, Kognitiv and Aimia’s Loyalty Solutions came together to create a data and technology-led business, employing people across 20 countries worldwide. With 200+ clients and partners in more than 50 markets globally, Kognitiv is removing the complexity of cultivating loyalty, data, and partnerships, so brands can deliver enhanced value, personalization, and experiences to today’s consumers, right where they are.
We always welcome international candidates to apply providing they are eligible to work and live in Canada.
About the opportunity:
As the Lead Predictive Analyst you will be tasked with building and evolving our Analytics Platform ‘Kognition’. You will be responsible for our data governance, mitigating risk associated with data aggregation and storage while also ensuring we achieve our data-focused objectives.
Areas of key responsibilities:
We are looking for a person who is innovative, analytically minded, and a strong communicator. This is a zero-to-one role where you will be able to work with Product, Engineering and Design to uncover greenfield opportunities for our Analytics Platform.
Minimum Qualifications:
Here at Kognitiv, we don’t just accept difference - we celebrate it! Greater diversity means greater variation in ways of thinking, perspectives and approach. And we thrive on it for the benefit of our employees and our clients. Kognitiv are committed to creating an inclusive environment and all employment is decided on the basis of qualifications, merit, fit and business need.
Kognitiv empowers global brands to redefine loyalty through advanced data activation and multi-enterprise collaboration.
Founded in 2008, Kognitiv is challenging brands to redefine how they engage with their customers and deliver meaningful experiences that earn their lifetime loyalty. In June 2020, Kognitiv and Aimia’s Loyalty Solutions came together to create a data and technology-led business, employing people across 20 countries worldwide. With 200+ clients and partners in more than 50 markets globally, Kognitiv is removing the complexity of cultivating loyalty, data, and partnerships, so brands can deliver enhanced value, personalization, and experiences to today’s consumers, right where they are.
We always welcome international candidates to apply providing they are eligible to work and live in Canada.
About the opportunity:
As the Lead Predictive Analyst you will be tasked with building and evolving our Analytics Platform ‘Kognition’. You will be responsible for our data governance, mitigating risk associated with data aggregation and storage while also ensuring we achieve our data-focused objectives.
Areas of key responsibilities:
We are looking for a person who is innovative, analytically minded, and a strong communicator. This is a zero-to-one role where you will be able to work with Product, Engineering and Design to uncover greenfield opportunities for our Analytics Platform.
- Understands data modelling and analytics industry standards, best practices and present key findings and recommendations, to improve system performance
- Be a subject matter expert in data modelling to make recommendations to the team
- Be the primary point of contact when data incidents occur, participate in post-incident reviews and identify enhancements to current processes
- Build analytics solutions for various use cases including Visualizations, enhanced with AI and ML capabilities
- Be the custodian of using the data once it is in the Kognitiv ‘General Data Model’ [GDM]
- Take predictive models that Data Science team builds and apply the models efficiently in a production environment
- Own Alteryx as a tool, including scheduling and error handling
- Other duties as reasonably directed
- Adhere to all Kognitiv policies
- Take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself and others in the workplace
- Recognise the dignity and respect of every team member and actively contribute and maintain a work environment which is free from harassment, sexual harassment and discrimination.
Minimum Qualifications:
- Must have minimum 4-5 years working experience in a data-centric operations environment
- Bachelor's Degree in Statistics, Data Science or other related fields
- Proficient in SQL and working with large-scale and complex databases
- Experience building data visualizations and dashboards (ideally in Alteryx), including scheduling and error handling
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
- Proficiency in programming/scripting and knowledge of statistical packages like R or Python
- Master´s Degree in Statistics, Data Science or other related fields
- A master in data tracking methods, processes, and implications
- Strong analytical and data interpretation capabilities
- Strong verbal and visual communication skills
- Collaborative, proactive, thorough, sceptical, detail-oriented, organized
- Love discovering the brand new and better solution - curious
- Highly effective team player
- Achievement orientated
- A self-starter who can work independently but as part of a wider team in a fast-paced environment
- An excellent communicator, with an ability and confidence to build both outstanding customer relationships and gain internal support.
- Ability to work in a fast-paced environment with a customer-centric focus.
Here at Kognitiv, we don’t just accept difference - we celebrate it! Greater diversity means greater variation in ways of thinking, perspectives and approach. And we thrive on it for the benefit of our employees and our clients. Kognitiv are committed to creating an inclusive environment and all employment is decided on the basis of qualifications, merit, fit and business need.
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