• Develop and optimize measurement architecture for web and mobile applications • Define and oversee data models and Data Layer architecture • Lead implementations in Google Tag Manager • Improve event and funnel configuration in GA4 • Ensure data integrity through validation • Connect analytics solutions with the Google ecosystem • Collaborate with business teams to deliver technical solutions • Mentor less-experienced team members

Role Description As we modernize our enterprise platform, you will own the analytics and visualization layer that puts trusted, timely insight in front of executives and business teams across the company. We're assembling a small, high-caliber team to build an enterprise decision-intelligence capability from the ground up. This is a greenfield opportunity to define how Sangoma sees and acts on its data. You won't inherit a wall of legacy dashboards. You'll design the ones that leaders actually use. Working across Finance, Operations, Product, and Engineering, you'll turn complex data into clear, reliable analytics that the business trusts — building both the datasets underneath and the dashboards on top. You'll make an impact by: - Designing and building executive and operational dashboards that leaders rely on to make decisions daily. - Building and shaping the analytics datasets behind those dashboards — writing the SQL, modeling the data, and preparing it so every view is fast, accurate, and consistent. - Turning complex, cross-functional data into clear, intuitive, trustworthy visual analytics. - Partnering with executives and business teams to understand the real questions behind their requests and deliver views that answer them. - Establishing standards for dashboard design, data modeling, storytelling, and self-service analytics across the company. - Ensuring the numbers behind every view are accurate, governed, and consistent — one source of truth, visualized. - Helping shape how Sangoma delivers analytics as the enterprise data platform matures. Qualifications - Tableau — advanced dashboard design, performance optimization, and best practices (required) - Strong SQL — writing complex queries to shape, transform, and validate data for analytics (required) - Data modeling for analytics — star schemas and well-structured, performant reporting datasets (required) - Python — for data preparation, transformation, and automating recurring analytics work - Translating business questions into clear, self-service dashboards - A strong eye for visual design, data storytelling, and executive-ready presentation - Attention to data accuracy, consistency, and governance in reporting Requirements - Experience in one or more of the following is a plus: - Cloud data warehouses such as Snowflake, Redshift, or equivalent - ERP and CRM platforms such as NetSuite and Salesforce - Working with modern data platforms / lakehouse environments - dbt or similar transformation and orchestration tools Benefits - Extended Healthcare Plan (Medical, Disability, Dental & Vision) - RPP - Group RRSP - Group Life - AD&D - Critical Illness Insurance - Paid Time Off Benefits - Work From Home - Flexible hours - Entrepreneurial work environment partnered with high growth career opportunities.

• Support exploratory and descriptive analyses of large volumes of user feedback; • Analyze reviews related to image and video quality, camera performance and photographic experience; • Perform manual analyses of user comments to build and validate ground-truth datasets (Ground Truth); • Support validation of classification model quality and summaries generated by LLMs by comparing automated outputs with human evaluations; • Identify patterns, trends and opportunities for improvement based on collected data; • Assist in creating reports, dashboards and executive presentations; • Contribute to automation initiatives and the application of AI in feedback-analysis processes; participate in tests and experiments involving LLMs, prompting, RAG and intelligent agents; • Collaborate with global teams to consolidate and interpret results; • Present analyses and results to national and international stakeholders in Portuguese and English.

Role Description At Pavago, one of our clients is hiring a Financial Analyst / Data Analyst to transform financial and operational data into actionable insights that support strategic business decisions. This role sits at the intersection of finance, analytics, and business strategy, combining financial modeling, forecasting, SQL-based data analysis, and business intelligence reporting. You’ll build dashboards, analyze trends, develop financial models, and provide leadership with accurate, data-driven recommendations that influence company performance. If you’re passionate about turning complex data into meaningful insights and enjoy working with both financial analysis and business intelligence, this is an excellent opportunity to make a measurable impact. Qualifications - 2+ years of experience in Financial Analysis, FP&A, and Data Analytics. - Experience supporting business decision-making through financial and operational analysis. - Advanced Microsoft Excel or Google Sheets skills, including Pivot Tables, INDEX/MATCH, Financial Modeling, and advanced formulas. - Strong SQL skills, including data extraction, joins, and query optimization. - Experience with financial reporting, forecasting, and variance analysis. - Strong analytical and problem-solving abilities. - Excellent written and verbal English communication skills. Requirements - SQL - Microsoft Excel / Google Sheets - Tableau - Power BI - Looker Benefits - High visibility with leadership and decision-makers. - Opportunity to influence business strategy through data. - Strong blend of finance, analytics, and business intelligence. - Exposure to forecasting, financial planning, and executive reporting. - Fully remote work environment with long-term growth opportunities. - Clear career progression into Senior Financial Analyst, FP&A Manager, Business Intelligence Manager, and Finance Manager. Interview Process - Initial Phone Screen - Spark Hire Intro Video (3–5 minutes) - Practical Assessment (Financial Model or Dashboard Exercise) - Final Client Interview - Offer & Background Verification What Happens After You Apply Right after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. This short, self-recorded video is the next step that completes your application and can be recorded whenever it’s convenient for you. Instead of repeating yourself across multiple screening calls, you’ll introduce yourself once, and your video will be shared with the hiring team. This helps the hiring team evaluate your communication style early, making future interviews more meaningful while reducing unnecessary interview rounds. Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after submitting your application. Apply Now If you’re passionate about financial analysis, data analytics, and business intelligence—and enjoy turning numbers into strategic business insights—we’d love to hear from you. Apply today and help drive smarter, data-backed decisions within a growing organization.