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Data Solutions Analyst
Equity Exploration
Vancouver, CAN
Full Time
Mid
Field
Yesterday
Power BIExcelPower QueryMicrosoft 365SharePoint ListsPower Automate
Free
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About the Role
Equity Exploration, a Vancouver-based mineral exploration consultancy, seeks a Data Solutions Analyst to build data workflows, internal tools, and decision-support systems from scratch.
Key Skills for This Role
Power BIExcelPower QueryMicrosoft 365SharePoint ListsPower Automate
Responsibilities
- Clean, structure, and maintain data from multiple internal and external sources
- Build practical tools, trackers, dashboards, and workflows from scratch in PowerBI
- Translate business questions into clear data requirements and usable outputs
- Support business development intelligence, including tracking companies, projects, market signals, and follow up opportunities
- Help automate repeatable workflows using Microsoft 365 tools and other practical platforms
- Improve data quality by identifying duplicates, gaps, inconsistencies, and unreliable inputs
- Work with non technical stakeholders to understand needs and design useful solutions
- Document key workflows and data definitions so systems can scale over time
Requirements
- 4–5 years of experience in data analysis, data operations, business analysis, BI, analytics engineering, or similar role
- Strong hands on experience cleaning, structuring, and making sense of messy data
- Experience building tools, workflows, dashboards, trackers, or data processes from scratch
- Strong Excel skills including formulas, structured tables, Power Query, and data cleaning
- Experience with Microsoft 365 tools such as SharePoint Lists, Power Automate, Power BI, Teams, or Forms
- Comfort working with structured datasets, relational data concepts, and practical data models
- Ability to work through ambiguity and clarify what problem needs to be solved
- Strong communication skills with non technical stakeholders
- Practical judgment and a bias toward building useful, maintainable solutions
Full Job Posting
About Equity Exploration
- Equity Exploration is a Vancouver based mineral exploration consultancy supporting exploration companies across Canada and internationally.
- Work spans geology, field operations, project execution, technical interpretation, and business development.
- A growing, partner led business with deep technical expertise and a practical, hands on culture.
Your Opportunity
- A builder role for someone who enjoys turning messy, scattered information into practical systems that people actually use.
- First priority: build data workflows and internal tools around business development intelligence, operational visibility, and other high priority needs.
- Work with spreadsheets, project records, CRM data, market signals, financial and operational information.
- Good fit for someone who likes ambiguity, wants to build from scratch, and wants to work close to business decision making.
What you'll do
- Clean, structure, and maintain data from multiple internal and external sources.
- Build practical tools, trackers, dashboards, and workflows from scratch in PowerBI.
- Translate business questions into clear data requirements and usable outputs.
- Support business development intelligence, including tracking companies, projects, market signals, and follow up opportunities.
- Help automate repeatable workflows using Microsoft 365 tools and other practical platforms.
- Improve data quality by identifying duplicates, gaps, inconsistencies, and unreliable inputs.
- Work with non technical stakeholders to understand needs and design useful solutions.
- Document key workflows and data definitions so systems can scale over time.
What you'll need
- 4–5 years of experience in data analysis, data operations, business analysis, BI, analytics engineering, or similar role.
- Strong hands on experience cleaning, structuring, and making sense of messy data.
- Experience building tools, workflows, dashboards, trackers, or data processes from scratch.
- Strong Excel skills including formulas, structured tables, Power Query, and data cleaning.
- Experience with Microsoft 365 tools such as SharePoint Lists, Power Automate, Power BI, Teams, or Forms.
- Comfort working with structured datasets, relational data concepts, and practical data models.
- Ability to work through ambiguity and clarify what problem needs to be solved.
- Strong communication skills with non technical stakeholders.
- Practical judgment and a bias toward building useful, maintainable solutions.
Nice to Have
- Experience with CRM systems such as Pipedrive, HubSpot, or Salesforce.
- Experience with workflow automation, APIs, RSS feeds, email based data intake, or data ingestion.
- Experience in mining, natural resources, consulting, engineering, construction, project based businesses, or professional services.
- Familiarity with geospatial, project, or technical data.
- SQL, Python, or similar data processing experience.
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