Strategy Analyst - Reporting and Analytics at Recruiting In Motion
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

0.0

Posted On

05 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Forecasting, Tableau, Data Warehouse, Sql, Snowflake, Statistical Modeling, Predictive Analytics, Models, Business Operations, Edw

Industry

Information Technology/IT

Description

ABOUT OUR CLIENT

We are currently seeking a highly skilled Data Analyst for our Toronto-based client. This role involves collaborating with analytics engineering resources to enhance data availability from various tools and sources, ultimately providing leaders with reliable data models for informed decision-making. You will also be responsible for maintaining a robust QA process for all analytics assets to ensure consistent and reliable insights.

QUALIFICATIONS

  • Proficiency in Tableau, SQL, and Snowflake or a comparable Enterprise Data Warehouse (EDW) is essential.
  • Five years of experience in a data analytics role, with exposure to both data science and business operations.
  • Experience with statistical modeling and predictive analytics, including the ability to build models for customer health scoring, churn prediction, and forecasting.
  • A strong commitment to ensuring data quality and dashboard accuracy through rigorous pre-deployment testing.
Responsibilities

The primary focus of this position is to develop a comprehensive reporting framework that enables go-to-market leaders to understand performance and optimize their efforts for maximum organizational results. This role offers significant ownership and accountability across the entire GTM analytics process, including co-creating roadmaps, designing and deploying dashboards, and crafting performance narratives for senior leadership. You will also gain exposure to annual planning and overall strategy-setting.

  • Partnering with senior leaders to consolidate insights and produce monthly operating results narratives for long-term strategic decisions.
  • Streamlining the end-to-end process of building and deploying dashboards to accelerate roadmap delivery, while collaborating with teams to prioritize creation and ensure data visualizations meet stakeholder needs.
  • Leveraging data science techniques, such as statistical modeling, to uncover sophisticated insights like customer health scoring and using predictive analytics for sales forecasting, customer retention, and growth opportunities.
Loading...