ResQ · 1 day ago
Senior Data Analyst
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Responsibilities
Conduct in-depth analysis of product performance metrics, user behavior, and market trends to inform product strategy.
Develop and maintain dashboards and reports to track key performance indicators (KPIs) and product health.
Use advanced statistical techniques and tools to uncover insights and patterns in complex data sets.
Collaborate with product managers, engineers, and designers to define product requirements and prioritize features based on data-driven insights.
Support the development of product roadmaps by providing actionable recommendations and identifying opportunities for enhancement.
Collaborate with engineers to ensure data collection thoroughness, accuracy, and quality.
Work with product, engineering, marketing, and sales teams to enable their work by delivering knowledge on the product and our users.
Collaborate with data scientists and data engineers to define our data warehousing processes.
Qualification
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Required
Bachelor’s degree in Mathematics, Statistics, Data Science or another quantitative field
7+ years of work experience in a product analytics role at a tech company
Proficiency in data tools such as SQL and Python, and dashboarding softwares such as Looker and Hex
Excellent analytical skills exploring large datasets and translating complex data sets into digestible visualizations and actionable insights.
Proven experience collaborating with cross-functional teams and presenting data-driven recommendations to senior stakeholders.
Ability to thrive in a fast-paced, dynamic startup environment.
Preferred
Knowledge of machine learning and inference, including data mining
Company
ResQ
ResQ is the all-in-one app to request, track and pay for your restaurant's repair and maintenance needs.
Funding
Current Stage
Growth StageTotal Funding
$46.5M2022-08-18Series A· undefined
2021-10-12Series A· $39M
2021-06-22Seed· $7.5M
Recent News
Gutter Capital
2023-07-26
The Globe and Mail
2022-06-14
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