Senior Data Analyst – Quinn AI

Quinn AI; British Columbia; On-site; CAD 70,000 - 110,000; Full time

Job summary

An innovative company is on the lookout for a Senior Data Analyst to enhance their data strategy. In this pivotal role, you will leverage your expertise in CRM systems, such as NetSuite and HubSpot, to map transactional data to vital KPIs that drive business insights. Your analytical skills will be crucial in defining best practices for data management and ensuring the accuracy and integrity of data across platforms. Join a collaborative team that values strategic recommendations and fosters a culture of continuous improvement. This is an exciting opportunity to make a significant impact in a rapidly evolving field.

Qualifications

• 5+ years of experience in data analysis with CRM systems.
• Strong understanding of data extraction methodologies and API integrations.
• Ability to translate complex data concepts into actionable business insights.

Responsibilities

• Analyze and map transactional data to key time series KPIs.
• Develop scalable processes for data mapping and integration.
• Ensure data accuracy and integrity across all systems.

Skills

Data Analysis

CRM Systems

Data Mapping

SQL

API Integration

Data Visualization

Problem-Solving

Documentation

Education

Bachelor's Degree in a related field

Tools

Tableau

Power BI

AWS

GCP

Azure

dbt

Job description

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Executive leader helping build great companies

Position Overview: Quinn AI is seeking a highly skilled and experienced Senior Data Analyst to join our team. The successful candidate will play a critical role in mapping transactional data to time series KPIs and ensuring data is properly utilized within Quinn's data tables. The ideal candidate will have deep expertise in CRM, ERP, and billing systems, particularly NetSuite, HubSpot, and ideally Salesforce (SFDC), and will be responsible for developing a comprehensive strategy and process for data mapping and integration.

Key Responsibilities:

Data Mapping & KPI Alignment:

• Analyze and map transactional data from NetSuite, HubSpot, and other CRM systems to key time series KPIs that drive business insights.
• Define, document, and implement best practices for structuring and maintaining data mappings, including the automation of repeatable mapping processes to enhance efficiency and accuracy.
• Work closely with internal stakeholders to ensure KPIs align with business objectives and reporting requirements.

Strategy Development & Process Flow Definition:

• Develop and define a scalable and repeatable process for mapping transactional data to KPIs.
• Create detailed process flow documentation to support efficient data integration.
• Collaborate with cross-functional teams to ensure alignment of data strategy with business needs.

Guidance on Data Extraction & API Integration:

• Provide strategic recommendations for extracting data from 3rd party systems using API integrations.
• Work alongside engineering teams to ensure seamless data ingestion and transformation processes.
• Evaluate existing integration approaches and suggest improvements or alternative solutions.

Data Quality & Governance:

• Ensure data accuracy, consistency, and integrity across all systems.
• Develop data validation checks and reconciliation procedures to monitor data quality.
• Establish guidelines and policies for data management and reporting.

Collaboration & Stakeholder Engagement:

• Work closely with product managers, engineers, and business stakeholders to understand data needs and business goals.
• Provide clear communication and reporting on data initiatives, challenges, and recommendations.
• Lead workshops and training sessions to educate team members on data mapping methodologies and best practices.

Qualifications:

• 5+ years of experience in data analysis, preferably with CRM systems such as NetSuite, HubSpot, and Salesforce (SFDC).
• Proven experience in mapping transactional data to business KPIs and insights.
• Strong understanding of data extraction methodologies and API integrations.
• Expertise in SQL, data modeling, and data visualization tools (e.g., Tableau, Power BI).
• Familiarity with cloud-based data storage and processing solutions (AWS, GCP, Azure).
• Ability to translate complex data concepts into actionable business insights.
• Excellent analytical, problem-solving, and communication skills.
• Strong documentation and process improvement capabilities.

Preferred Qualifications:

• Experience working in B2B SaaS environments.
• Understanding of revenue operations and sales analytics.
• Experience with data transformation tools such as dbt or ETL frameworks.
• Duration: month-to-month with potential for long-term engagement based on business needs
• Compensation: Competitive and based on experience

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Business Intelligence Platforms

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