Data Analyst (Remote)
Toronto, Ontario, Canada - Remote
Skan
Skan's AI-powered Process Intelligence drives innovation, cost savings, customer experience, automation effectiveness, and productivity, leading to tangible and scalable transformation.As a leader in process intelligence technology, Skan leverages computer vision and machine learning to help organizations be greater at business by triangulating insights from people, processes, and technologies to accelerate business transformation.
Location
For this position, we are looking for remote candidates located in the United States and Canada.
As a Sr. Data Analyst, you will be responsible for building, modulating, and understanding the data produced by the tool to efficiently transform the data into customer-friendly dashboards which show business value insights as part of Skan implementation for our prospects and current customers. You will have the opportunity to use data to drive business decisions, write SQL queries, data mine and visualize techniques for our customer. You will provide crucial insight into business decisions and KPI’s and metrics for our customers.
What You’ll Do:
- Participate in value discovery workshops and help in documenting the statement of value
- Design new reports with a value centric approach
- Generate / extract data from our BI databases to support dive deep activities.
- Prioritize, optimize and deliver timely updates for metrics.
- Work with the customer success team and value management teams to understand business challenges and provide data/analysis to help drive projects.
- Work with data to arrive at key metrics and KPI’s for our customers. E.g. NPS (Net Promoter Score), FPR (First Pass Rate) etc.
- Create dashboards with high level of creativity to bring out powerful business value through insights and stories and present to internal stakeholders
- Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions.
- Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions.
- Building dashboards and tools that will allow us to meet the success criteria and metrics for projects
- Analyze unique operational data to find new and deep insights that brings our customers' value
- Utilize Power BI and experiment with infographics to make our rich data as actionable as possible
- Collaborate with product and data sciences team to ensure we are utilizing full capability of the platform
- Standardize and help build out our report library
- Present value based insights to internal stakeholders
Requirements
What You’ll Bring
Need to have
- Bachelor's degree in engineering or similar technical field
- 7 years of Business Intelligence or Data Analytics experience
- 3+ years of experience with Snowflake and Microsoft Power BI
- 4+ years’ experience working in a data-specific role with a sound knowledge of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing
- In-depth understanding and experience with Microsoft BI stacks such as Power Pivot, SSIS, SSRS, and SSAS.
- Experience using Python to parse, structure, and transform data
Nice to have
- Strong analytical skills and ability to dive into dashboards and queries
- Strong communication, organizational and interpersonal skills
- Ability to multitask and handle various priorities in a fast-paced environment
- Experience working at a fast-growing tech start-up / B2B SaaS
- Cross-functional leading experience
Benefits
- 100% coverage of Health Care Plan (Medical, Dental & Vision)
- Life Insurance (Basic, Voluntary & AD&D)
- Unlimited Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long Term Disability
- Remote position
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Vision Data Analytics Data Mining Data Warehousing Engineering KPIs Machine Learning Power BI Python Snowflake SQL SSIS
Perks/benefits: Career development Health care Insurance Startup environment Team events Unlimited paid time off
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