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Senior Data Analyst and Consultant
2 months ago
We are seeking a highly skilled and experienced Senior Data Analyst and Consultant to join our team at the Financial Resilience Institute. As a key member of our team, you will play a critical role in helping us achieve our mission of improving the financial resilience of Canadians and global citizens.
Key Responsibilities- Lead advanced insight work by applying expertise in data modeling, data visualization, and quantitative analysis to uncover actionable insights and inform financial health solutions.
- Develop and execute statistical procedures for multi-variate analysis of datasets, and production of cross-tabular reports and regression models.
- Translate data into insights and provide compelling stories, trends, and implications as a data translator and financial health expert.
- Support the CEO with the ongoing development of studies and customized surveys and outputs, and participate in key client, prospect, and presentation meetings.
- Analyze data and statistics for trends and patterns on topics such as financial inclusion challenges for under-served and target populations, the association between climate change and household financial vulnerability, and the impact of financial behaviors and interventions on improved household financial resilience.
- Act as an internal advisor by understanding business needs, scoping data requests, synthesizing insights, and recommending solutions to our clients.
- Help to develop and maintain business intelligence solutions (dashboard & interactive reporting tools) by working with our Research Director of Research and Analytics and other partners.
- Collaborate to develop data governance and security models to support privacy, and data utilization.
- Proactively handle data integrity by identifying data issues and balancing gaps.
- Provide regular bite-size insights and identify key trends to support the creation of compelling whitepapers, social media pieces, or reports.
- Able to lead multiple concurrent projects/analyses at once that require inputs from cross-functional partners while balancing impact on business needs.
- Optimize and automate processes to support the efficient development of client, subscriber, and internal reports.
- Support the development of customized research analytics projects and solutions, harnessing qualitative as well as quantitative research methodologies.
- Work as a Consultant and research expert on projects, liaising directly with clients and partners as required.
- Support the CEO in the development of other programs, tools, or solutions from a B2B or B2C perspective.
- Support the CEO in the presentation and advisory around Financial Resilience Institute research data, reports, and projects with prospective and existing clients.
- Work closely with the CEO and Research Director to analyze and deeply understand the latest Financial Resilience Institute research data, identify emerging trends and insights, and generate data visualizations to communicate them.
- Work closely with the CEO to develop and produce thought leadership documents on trends and define new client product/service solutions.
- Collaborate closely with colleagues to transform insights into compelling and impactful content to drive relationship development and impact outcomes with a particular focus on underserved populations.
- Conduct quantitative and qualitative statistical analysis and modeling, and prescriptive and predictive analysis using large, sophisticated sets of structured and unstructured data.
- Consult with clients to help translate data insights into implications for their business and to support project initiatives.
- Advanced knowledge of SPSS (highly preferred) and/or similar statistical analysis tools.
- Knowledge of statistical methods commonly used in marketing and social sciences, including correlational analysis and significance testing.
- Advanced knowledge of visualization techniques and slide design.
- Excellent analytical thinking for translating data into insightful visuals, reports, and 'so what?'
- Experience working with enterprise BI and data visualization tools, such as Tableau, would be a strong asset.
- Experience in financial services, client-facing research, and/or consulting would be an asset.
- Solid grasp and proficiency in the following: data modeling, data visualization, data quality and clean up, Microsoft Excel (including PowerPivot as a plus) and PowerPoint.
- Must be a curious, creative problem solver with solid project management skills and the ability to stay organized to deliver on multiple competing priorities.
