• Manage and maintain our internal data stack, including Snowflake (data warehouse), dbt (data transformation), and Sigma (BI/dashboarding). • Design, develop, and maintain data models in dbt that support reporting and analytics across business functions. • Collaborate with stakeholders to gather and document data requirements and to translate them into scalable and maintainable data solutions. • Build and maintain Sigma dashboards to deliver timely, accurate, and actionable insights to internal users. • Manage the roll out of analytical use cases and their promotion from pilot, testing, to production including change management, documentation, and enablement • Monitor data quality and ensure integrity, governance, and best practices across systems. • Identify opportunities for process automation and improvements within data pipelines. • Act as the go-to expert for leadership on leveraging our internal data and using that data to make strategic business decisions.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a highly analytical and business-minded Business Intelligence Analyst​ with 2–3 years of experience. The ideal candidate possesses a solid background in data analytics and market research, with a proven ability to translate complex data into actionable insights that drive business decisions, operational efficiency, and strategic growth. In this role, you will partner closely with cross-functional teams to become a key enabler of data-driven business success. - Analyze internal and external data to assess performance, identify trends and opportunities, and provide data support for strategic planning and business decision-making. - Conduct in-depth industry and competitive research to inform product direction, user growth, and market strategies. - Build, maintain, and optimize business dashboards, reports, and core metric monitoring systems to enable visualization and tracking of business objectives. - Independently or collaboratively execute deep-dive analysis projects, including business forecasting, scenario modeling, and business case evaluation. - Collaborate closely with product, operations, marketing, and other teams to define data requirements and promote the effective application of data in business execution. - Translate analytical findings into clear, actionable recommendations and drive cross-functional execution through effective communication. Qualifications - Bachelor's degree or above in Business Analytics, Economics, Statistics, Computer Science, or a related field. - 2–3 years of relevant experience in business analysis, data analysis, or market research, with excellent logical thinking and business interpretation skills. - Proficient in SQL and at least one analytical tool (e.g., Python, R, or advanced Excel). - Hands-on experience with at least one BI platform (e.g., Tableau, Power BI, or Looker). - Solid business acumen and outcome-oriented mindset, with the ability to derive business-value insights from data. - Excellent communication and collaboration skills, with the ability to work effectively across teams and drive projects forward. Preferred Qualifications - Experience in a cryptocurrency exchange, fintech, or fast-growing technology company. - Familiarity with user behavior data, growth metrics, and key financial KPIs. - Understanding of web or mobile analytics platforms (e.g., Google Analytics, Mixpanel).

Role Description The Business Intelligence (BI) Developer supports Girl Guides of Canada’s (GGC) efforts in becoming a data-driven organization. As part of the Technology and Transformation team, this role plays a critical part in supporting business as usual data needs and the Digital Transformation (DT) initiative. - Design, develop, and maintain business intelligence and analytics solutions using Microsoft Power BI and related Microsoft technologies. - Collaborate closely with business teams to gather requirements and deliver scalable, intuitive, and actionable data solutions that support decision-making. - Develop, manage, and optimize ETL and data integration processes using Microsoft Fabric and associated components. - Support the organization’s Digital Transformation initiative, including data migration, data validation, and alignment between legacy and future-state data models. - Develop a deep understanding of GGC’s business data across systems, becoming the go-to resource for data definitions, structures, and usage. - Ensure data quality, integrity, and consistency through validation, reconciliation, and cleansing routines. - Contribute to the implementation of GGC’s data strategy and data governance framework, including maintaining data models, metadata, and business definitions. - Build analytics and reporting leveraging enterprise platforms such as CRM, member/volunteer portal, accounting, inventory, and order management systems. - Provide support, guidance, and training to enable self-service analytics. - Stay current with emerging BI, analytics, and Microsoft technologies, proactively recommending enhancements to GGC’s analytics capabilities. - Participate in and help establish a Data Centre of Excellence, contributing to the growth of GGC’s internal data literacy and analytics maturity. - Partner with business leaders and stakeholders across departments to align analytics solutions with organizational priorities and outcomes. - Perform other data-related duties as assigned by the direct manager in support of organizational objectives. Qualifications - Post-secondary education in Computer Science, Information Systems, Data Analytics, or related field, or equivalent experience. - 3+ years of experience developing BI solutions. - Experience managing large-scale data platforms, ideally in digital transformation or enterprise-wide systems implementations. - Experience with Microsoft Power BI. - Strong SQL skills and experience with Microsoft Fabric and associated components. - Experience designing and maintaining data models and ETL processes. - Familiarity with data governance, data quality, and privacy standards. - Excellent communication, facilitation, and presentation skills, with experience engaging senior executives and leaders. - A creative problem solver. - Customer-focused and collaborative with colleagues from all levels and departments. - Highly organized, detail-oriented and deadline-driven. Requirements - Familiarity with not-for-profit organizations, membership-based structures, or volunteer-driven environments is an asset. Benefits - Hiring Range: $60,000 to $85,000 Annually.

• Own Internal Reporting & Metrics • Serve as the single owner for Civitech’s internal reporting and business intelligence function • Define, document, and maintain core company metrics across revenue, operations, product usage, client success, and people operations • Ensure data accuracy, consistency, and trust across all executive and functional reporting • Build & Maintain Reporting Infrastructure • Design and maintain dashboards, reports, and data models used by leadership and functional teams • Partner with Operations, Finance, Product, and Client Success to align reporting with business goals • Improve and automate reporting workflows to reduce manual effort and increase reliability • Support Executive & Strategic Decision-Making • Produce regular executive-level reporting for the COO, CEO, and leadership team • Support planning cycles, forecasting, board materials, and operational reviews with clear data insights • Translate complex data into clear narratives and recommendations for non-technical audiences • Enable Functional Teams • Work with department leaders to understand their reporting needs and build tools that support accountability and performance • Help teams move from ad-hoc reporting toward standardized, self-service analytics where appropriate • Provide guidance on metric definitions, data interpretation, and analytical best practices • Data Governance & Quality • Establish and enforce standards for data definitions, documentation, and reporting hygiene • Identify gaps, inconsistencies, or risks in existing data pipelines and partner with technical teams to resolve them