Business Intelligence Architect – Data Strategy & Analytics
Posted 2025-08-23
Remote, USA
Full Time
Immediate Start
<p><strong>Job Title:</strong> Business Intelligence Architect – Data Strategy & Analytics<br><strong>Company:</strong> Solen Software Group<br><strong>Location:</strong> Toronto, Canada<br><strong>Employment Type :</strong> Contract<br><br><strong>About Solen Software Group</strong>: Solen Software Group is an evergreen holding company that acquires and operates proven software businesses that have significant growth potential in a variety of vertical markets, enabling them to be market leaders in their niche industry. Solen owns several software companies in various market spaces: Human Resource Technology, Fleet Telematics, Asset Management, E-Health, Document Management, and other innovative software solutions in a variety of industries. Solen is backed by a group of advisors and investors that have built software businesses of material scale (10-100M in ARR) and advised many.</p>
<p><br><strong>About the role: </strong>We’re seeking a highly skilled <strong>Business Intelligence Architect</strong> to lead our data strategy and analytics initiatives. This role bridges the gap between raw data and strategic insights, helping the company make data-driven decisions across operations, finance, and portfolio management. You'll collaborate with stakeholders, design scalable data solutions, and develop compelling dashboards and models to visualize business performance—especially within a private equity operating context.<br><br>The <strong>successful candidate</strong> will work from close to our offices in Toronto / Hybrid.<br><br><strong>Key Responsibilities:</strong></p>
<p><strong>Lead Data Strategy & Governance</strong></p>
<ul><li>Act as the strategic liaison for aligning enterprise data strategy with business objectives.</li><li>Create and centralize data connections across platforms (e.g., Sage Intacct), within a governed and standardized data framework.</li><li>Champion DRY (Don’t Repeat Yourself) development principles and scalable data infrastructure.</li><li>Define and implement data governance policies to ensure consistency, accuracy, and security across systems.</li><li>Build reusable routines for collaborative reporting and company-wide analytics enablement.</li></ul>
<p><strong>Build and Optimize Data Solutions</strong></p>
<ul><li>Design and maintain robust data models for consistent and accurate representation across business domains.</li><li>Transform raw data into structured datasets using ETL tools and best practices.</li><li>Develop and optimize Power BI dashboards and reports to visualize key performance indicators (KPIs), trends, and insights.</li><li>Ensure ongoing optimization and performance tuning of Power BI solutions.</li></ul>
<p><strong>Data Analysis & Business Insight Delivery</strong></p>
<ul><li>Perform deep data analysis to uncover trends, patterns, and actionable insights.</li><li>Construct predictive and descriptive analytics models to support strategic initiatives.</li><li>Translate technical findings into business-friendly insights to drive value creation and efficiency.</li><li>Partner with Finance, Operations, and leadership to deliver visibility into company and portfolio-level performance.</li></ul>
<p><strong>Stakeholder Collaboration & Training</strong></p>
<ul><li>Work closely with business users, portfolio company teams, and internal departments to gather and translate data needs into technical solutions.</li><li>Train and support end-users in navigating and utilizing Power BI dashboards and analytics tools.</li><li>Support deal execution teams by contributing to financial modeling, diligence activities, and performance tracking of portfolio companies.</li></ul>
<p><strong>Support Private Equity-Specific Data Needs</strong></p>
<ul><li>Understand the private equity investment lifecycle, from deal sourcing to post-investment monitoring.</li><li>Provide analytics support for investment decisions, deal execution, and operational improvements across portfolio companies.</li><li>Drive insights to support value creation planning, portfolio monitoring, and board reporting.<br></li></ul>
<p><strong>Key Requirements:</strong></p>
<ul><li>3+ years of experience with Power BI (desktop and service), including DAX, data modeling, and dashboard development are mandatory.</li><li>Strong SQL skills and experience with data extraction, transformation, and loading (ETL).</li><li>Experience with big data tools and scripting languages (e.g., Python, Teradata).</li><li>Experience with Sage Intacct is an asset.</li><li>Solid understanding of data governance, architecture, and best practices.</li><li>Proven track record in building data models and delivering actionable insights to stakeholders.</li><li>Ability to communicate complex data concepts to both technical and non-technical audiences.</li><li>Experience in project and stakeholder management.</li></ul>
<p><strong>Nice-to-Have Skills</strong></p>
<ul><li>Experience with Datameer, Tableau, or other BI tools.</li><li>Familiarity with private equity (PE) or venture capital (VC) operations.</li><li>Background in financial modeling or deal analysis.</li><li>Automation skills using Python or PySpark.</li><li>Experience with implementing enterprise data platforms and analytics strategies.</li></ul>
<p><strong>What’s in It for You</strong></p>
<ul><li>Play a pivotal role in shaping the company’s data strategy and analytics maturity.</li><li>Work within a collaborative, high-performance environment at the intersection of operations, finance, and investment.</li><li>Make a measurable impact through the delivery of real-time, data-driven insights.</li><li>Opportunities for career growth and continuous learning in a forward-thinking, analytics-first culture.<br></li></ul>
<p><strong>We thank all applicants for their interest; however, only those selected for an interview will be contacted.</strong></p>
<p></p>
<p><br><strong>About the role: </strong>We’re seeking a highly skilled <strong>Business Intelligence Architect</strong> to lead our data strategy and analytics initiatives. This role bridges the gap between raw data and strategic insights, helping the company make data-driven decisions across operations, finance, and portfolio management. You'll collaborate with stakeholders, design scalable data solutions, and develop compelling dashboards and models to visualize business performance—especially within a private equity operating context.<br><br>The <strong>successful candidate</strong> will work from close to our offices in Toronto / Hybrid.<br><br><strong>Key Responsibilities:</strong></p>
<p><strong>Lead Data Strategy & Governance</strong></p>
<ul><li>Act as the strategic liaison for aligning enterprise data strategy with business objectives.</li><li>Create and centralize data connections across platforms (e.g., Sage Intacct), within a governed and standardized data framework.</li><li>Champion DRY (Don’t Repeat Yourself) development principles and scalable data infrastructure.</li><li>Define and implement data governance policies to ensure consistency, accuracy, and security across systems.</li><li>Build reusable routines for collaborative reporting and company-wide analytics enablement.</li></ul>
<p><strong>Build and Optimize Data Solutions</strong></p>
<ul><li>Design and maintain robust data models for consistent and accurate representation across business domains.</li><li>Transform raw data into structured datasets using ETL tools and best practices.</li><li>Develop and optimize Power BI dashboards and reports to visualize key performance indicators (KPIs), trends, and insights.</li><li>Ensure ongoing optimization and performance tuning of Power BI solutions.</li></ul>
<p><strong>Data Analysis & Business Insight Delivery</strong></p>
<ul><li>Perform deep data analysis to uncover trends, patterns, and actionable insights.</li><li>Construct predictive and descriptive analytics models to support strategic initiatives.</li><li>Translate technical findings into business-friendly insights to drive value creation and efficiency.</li><li>Partner with Finance, Operations, and leadership to deliver visibility into company and portfolio-level performance.</li></ul>
<p><strong>Stakeholder Collaboration & Training</strong></p>
<ul><li>Work closely with business users, portfolio company teams, and internal departments to gather and translate data needs into technical solutions.</li><li>Train and support end-users in navigating and utilizing Power BI dashboards and analytics tools.</li><li>Support deal execution teams by contributing to financial modeling, diligence activities, and performance tracking of portfolio companies.</li></ul>
<p><strong>Support Private Equity-Specific Data Needs</strong></p>
<ul><li>Understand the private equity investment lifecycle, from deal sourcing to post-investment monitoring.</li><li>Provide analytics support for investment decisions, deal execution, and operational improvements across portfolio companies.</li><li>Drive insights to support value creation planning, portfolio monitoring, and board reporting.<br></li></ul>
<p><strong>Key Requirements:</strong></p>
<ul><li>3+ years of experience with Power BI (desktop and service), including DAX, data modeling, and dashboard development are mandatory.</li><li>Strong SQL skills and experience with data extraction, transformation, and loading (ETL).</li><li>Experience with big data tools and scripting languages (e.g., Python, Teradata).</li><li>Experience with Sage Intacct is an asset.</li><li>Solid understanding of data governance, architecture, and best practices.</li><li>Proven track record in building data models and delivering actionable insights to stakeholders.</li><li>Ability to communicate complex data concepts to both technical and non-technical audiences.</li><li>Experience in project and stakeholder management.</li></ul>
<p><strong>Nice-to-Have Skills</strong></p>
<ul><li>Experience with Datameer, Tableau, or other BI tools.</li><li>Familiarity with private equity (PE) or venture capital (VC) operations.</li><li>Background in financial modeling or deal analysis.</li><li>Automation skills using Python or PySpark.</li><li>Experience with implementing enterprise data platforms and analytics strategies.</li></ul>
<p><strong>What’s in It for You</strong></p>
<ul><li>Play a pivotal role in shaping the company’s data strategy and analytics maturity.</li><li>Work within a collaborative, high-performance environment at the intersection of operations, finance, and investment.</li><li>Make a measurable impact through the delivery of real-time, data-driven insights.</li><li>Opportunities for career growth and continuous learning in a forward-thinking, analytics-first culture.<br></li></ul>
<p><strong>We thank all applicants for their interest; however, only those selected for an interview will be contacted.</strong></p>
<p></p>