Role Description As a Senior Data Analyst on the BI team, you will own advanced reporting and analysis for multiple internal stakeholders, driving strategic planning and operational insights across the Advertising Technologies department. This role is based in Canada. StackAdapt operates with a remote-first culture. What You'll Be Doing: - Design and maintain advanced reporting solutions and dashboards that support stakeholder decision-making across multiple teams and business segments. - Lead end-to-end data analysis projects, defining technical requirements for ETL processes and data models. - Develop customized KPIs and metrics that quantify business performance, risks, and opportunities. - Identify and resolve data quality issues, implementing validation frameworks and best practices across the BI team. - Collaborate with cross-functional stakeholders to align on reporting needs, probe assumptions, and communicate findings clearly at all levels. - Own and deliver a portfolio of recurring and ad-hoc stakeholder reports with minimal supervision. - Build or optimize at least two automated reporting workflows using available tools (including AI tools such as Claude or Gemini). - Establish strong working relationships with key internal stakeholders across the Advertising Technologies department. - Document data definitions, reporting procedures, and ETL logic to reduce knowledge concentration risk. - Participate actively in sprint planning and backlog prioritization for the BI team. - Leverage AI/LLM tools (e.g., Claude, ChatGPT, Gemini) to accelerate analysis, automate repetitive tasks, and draft documentation. Qualifications - 3+ years of experience in a data analytics role, with a strong track record of delivering advanced reporting for multiple stakeholder teams. - Advanced SQL skills; ability to define ETL requirements and work with complex, heterogeneous datasets. - Experience with data visualization tools (e.g., Tableau, Looker, or equivalent) and building client-facing or executive-ready dashboards. - Strong communication skills with experience presenting data-driven findings to senior management and cross-functional teams. - Demonstrated ability to identify data quality root causes and implement systematic solutions. Requirements - The compensation range listed for this role reflects the expected base salary for candidates located in Ontario, Canada. - This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package. - Factors influencing final compensation include the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. - Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer. Benefits - Highly competitive salary. - Retirement/401K/Pension Savings globally. - Competitive Paid time off packages including birthdays off! - Access to a comprehensive mental health care program. - Health benefits from day one of employment. - Work from home reimbursements. - Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto. - Robust training and onboarding program. - Coverage and support of personal development initiatives (conferences, courses, books, etc.). - Access to StackAdapt programmatic courses and certifications to support continuous learning. - An awesome parental leave program. - A friendly, welcoming, and supportive culture. - Our social and team events!

• Responsible for assessing customer analytic needs and providing guidance on best possible course of action • Familiar with end-users workflows and align the customers business requirement with the analytic solutions • Develop custom metrics & RW SQL reports as well as operational dashboards using Radar. • Partner with the NGHS Technical Training team to develop and Implement training and documentation solutions • Establishing and enforcing best practices, mentoring junior analyst team members

Title: Business Intelligence Support Analyst Location: MI-Admin Office Building (AOB) Full time Hybrid Business Intelligence Support Analyst– The Auto Club Group What you will do: Support management and senior staff in the research, analysis and development of Business Intelligence (BI) solutions. Identify areas for data quality improvement and provide support in the resolution of data quality problems. Provide training and support to end users regarding BI solutions and the IBI data warehouse. Assist management and senior staff with the development of proposals and business cases. Develop end user documentation and communication plans. Analyze and assess the impact of changes to Actuarial, Underwriting, Sales, Processing and Claims procedures/systems including rate revision changes on data and reporting requirements. Assist in the development of data management quality assurance standards and processes. Participate in root cause analysis and problem-solving activities as needed. Maintain Competency Center documents including procedures and communications. Supervisory Responsibilities: None How you will benefit: Business Intelligence Support Analyst will earn a competitive salary of $70,000 - $87,000 annually with annual bonus potential based on performance. Excellent and comprehensive benefits packages are just another reason to work for the Auto Club Group. Benefits include: - 401k Match - Medical - Dental - Vision - PTO - Paid Holidays - Tuition Reimbursement We’re looking for candidates who: Required Qualifications: Education: - College level coursework in Business Administration, Information Systems, Statistics, Insurance or related field Experience: - Programming experience using SAS, Easytrieve, SQL, HTML and Javascript - Creating web pages - Auditing, balancing and reconciling data - Analyzing procedures to identify and correct errors - Preparing reports, correspondence and project plans - Acceptance testing including assisting in the development of test scenarios and test data - PC software applications (e.g. MS Office, Excel, Access, SAS or other statistical software) - Control languages (e.g., JCL) Knowledge and Skills: - Technology project lifecycle and various analytic and project management tools - PC software applications (e.g. Visio, ERWIN, Process Mapping tools, etc.) - Data management quality assurance standards and processes Ability to: - Communicate effectively with others in a work environment and public - Analyze information and business process flows - Utilize business intelligence tools (i.e., SQL, Data Studio, SAS, Oracle BI) - Explore alternative approaches to existing process and project objectives - Identify coding issues and recommend improvements to the system - Understand technology as it relates to business Preferred Qualifications: Education: - Associate degree in Business Administration, Information Systems, Statistics, Insurance or related field Experience in/with: - Documenting business processes - Insurance (e.g. Actuarial, Claims, Underwriting, etc.) processes and procedures - P&C insurance products, trends and practices Work Environment This is a hybrid work arrangement (time spent in office and remote). Depending on the employee's role and leadership's assessment, some employees will come in to an ACG facility on a weekly basis, a monthly basis, or on an "as needed" basis for key meetings and collaborative activities. Most employees will be required to come into the office, at a minimum, for important departmental meetings or team building events.

• Serve as the primary analytics partner to your assigned product team. • Attending sprint reviews, PI planning, and discovery sessions as a full participant, not a data supplier • Own the measurement plan for your assigned product portfolio. • Defining KPIs, funnels, and success metrics before they ship • Be the first touchpoint for product leader data needs, responsible for identifying solutions both home-grown and in partnership with other data and analytic teams, including our own data science team. • Evaluate the effectiveness of the digital product strategy and recommend adjustments when needed to drive outcomes. • Build and maintain product performance dashboards in PowerBI that drive active product decisions • Analyze member behavior across the digital experience, funnel drop-off, feature adoption, session depth, and engagement patterns • Work with Data Science teams to design and analyze A/B tests and experiments, communicate results clearly without overstating significance • Write and maintain SQL and Python to support analysis and automate recurring data pulls • Translate complex findings into clear, opinionated recommendations for product managers and senior leadership