- Developing reports and analytics using data from data warehouse and Salesforce using Excel, SQL, Tableau, and other reporting/analytics tools. - Provide consultative insights: - Analyze data to identify patterns and trends over time - Compare data from different categories to identify relationships or correlations - Applying statistical analysis to identify patterns and relationships in the data - Provide context and explanations for the data by using visualizations and narrative descriptions - Identify outliers or anomalies in the data and investigate their causes. - Review and QA data/report before it is provided to the client (internal/external). - Communicates directly with customer on data needs and key deadlines. - Researches and identifies data quality issues. - Manage ongoing, incoming partner requests and questions regarding data specifications. - Configures mapping tools to support translation from source data to desired format. Includes testing of tool and providing clear documentation to internal resources and customer. - Act as resident expert for data requirements/specifications internally and for the client as needed. - Remain informed and up to speed with ongoing changes and evolution of assigned program data specs. - Lead client/partner web-based trainings regarding data specifications and requirements.

Title: Senior Data Analyst, Live Games Location: Toronto ON CA Job Description: About Big Viking Games Big Viking Games is a Canadian gaming company focused on building, operating, and growing long-standing online game communities. Our games have entertained players for years, supported by loyal audiences, live operations, evolving content systems, product innovation, and deep player-driven economies. Our flagship titles, YoWorld and FishWorld, have served millions of players over their lifetime. These are enduring live-service virtual worlds with rich in-game economies, virtual goods, social interaction, and long-term player engagement at their core. We are entering a new phase of modernization and growth, with a focus on stronger data visibility, better decision-making, practical AI adoption, smarter live operations, and scalable systems that help our games and teams perform at a higher level. About the Role Big Viking Games is hiring a Senior Data Analyst to support our live games, including YoWorld and FishWorld. This is a hands-on analytics role for someone who loves digging into player behavior, building dashboards that tell a clear story, and turning raw data into decisions that improve product, monetization, live operations, and player experience. You will partner closely with leadership, product, production, live operations, finance, and engineering to analyze what is happening in our games, why it is happening, and what we should do next. Your work will directly influence roadmap decisions, content strategy, monetization planning, player engagement, and business performance. This role is ideal for someone who is comfortable working in a fast-moving live-service environment, can bring structure to complex datasets, and can communicate insights clearly to both technical and non-technical stakeholders. *This is a hybrid role based in Toronto, with an expectation of working in office three days per week. Requirements About Big Viking Games Big Viking Games is a Canadian gaming company focused on building, operating, and growing long-standing online game communities. Our games have entertained players for years, supported by loyal audiences, live operations, evolving content systems, product innovation, and deep player-driven economies. Our flagship titles, YoWorld and FishWorld, have served millions of players over their lifetime. These are enduring live-service virtual worlds with rich in-game economies, virtual goods, social interaction, and long-term player engagement at their core. We are entering a new phase of modernization and growth, with a focus on stronger data visibility, better decision-making, practical AI adoption, smarter live operations, and scalable systems that help our games and teams perform at a higher level. About the Role Big Viking Games is hiring a Senior Data Analyst to support our live games, including YoWorld and FishWorld. This is a hands-on analytics role for someone who loves digging into player behavior, building dashboards that tell a clear story, and turning raw data into decisions that improve product, monetization, live operations, and player experience. You will partner closely with leadership, product, production, live operations, finance, and engineering to analyze what is happening in our games, why it is happening, and what we should do next. Your work will directly influence roadmap decisions, content strategy, monetization planning, player engagement, and business performance. This role is ideal for someone who is comfortable working in a fast-moving live-service environment, can bring structure to complex datasets, and can communicate insights clearly to both technical and non-technical stakeholders. This is a hybrid role based in Toronto, with an expectation of working in office three days per week. What You’ll Do ● Analyze player behavior, retention, engagement, monetization, economy health, content performance, and live operations performance across YoWorld and FishWorld. ● Conduct quantitative analysis and financial modeling to evaluate feature opportunities, content plans, monetization risks, and strategic product decisions. ● Build, maintain, and improve dashboards that translate complex data into clear, actionable insights for stakeholders across the studio. ● Write, maintain, and validate complex SQL workflows to extract, transform, and analyze large-scale player and business datasets. ● Partner with product, production, live operations, and engineering teams to define telemetry, instrumentation, and data collection requirements. ● Investigate behavioral patterns, session habits, player lifecycle trends, wallet dynamics, purchase behavior, content engagement, and churn signals. ● Support live operations planning by identifying what content, events, offers, and engagement loops are working, where they are underperforming, and what should be tested next. ● Help define KPIs, reporting standards, metric definitions, and repeatable analytics processes. ● Present findings clearly and confidently to leadership and cross-functional teams. ● Turn ambiguous product and business questions into structured analysis, clear recommendations, and decision-ready narratives. ● Use AI tools thoughtfully to accelerate analysis, summarize findings, improve workflows, and reduce repetitive reporting work. ● Help improve data quality, reporting accuracy, and trust in the company’s analytics systems. What You Bring ● 3+ years of experience in data analytics, product analytics, business intelligence, data science, or a related analytical role. ● Strong SQL skills with the ability to work across complex, multi-source data systems. ● Experience analyzing large datasets and turning analysis into real product or business decisions. ● Hands-on experience with data visualization tools such as Tableau, Power BI, Looker, Sigma, Metabase, or similar platforms. ● Comfort with Python, R, or similar scripting languages for data transformation, analysis, automation, or modeling. ● Strong understanding of metrics, cohorts, funnels, segmentation, retention, engagement, monetization, and behavioral analysis. ● Ability to build dashboards and reports that are clear, useful, and action-oriented. ● Strong communication skills, with the ability to explain complex analysis in plain business language. ● Ability to work independently, manage priorities, and bring structure to ambiguous problems. ● Strong attention to detail and a high bar for data accuracy, consistency, and reliability. ● Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or equivalent practical experience. Nice to Have ● Experience with Snowflake or similar modern cloud data platforms. ● Experience in gaming, live-service products, social games, casual games, free-to-play games, virtual worlds, or digital products. ● Experience with game economies, virtual currencies, pricing, bundles, offers, content performance, and player lifecycle analysis. ● Experience with A/B testing, experimentation, statistical analysis, forecasting, or predictive modeling. ● Experience supporting product managers, live operations teams, designers, finance teams, or executive stakeholders. ● Experience with data modeling, dbt, analytics engineering, ETL/ELT workflows, or data quality processes. ● Experience using AI tools such as ChatGPT, Claude, Gemini, or similar platforms to improve analytics workflows, reporting, research, and insight generation. ● A genuine interest in games, player behavior, social products, and long-running online communities. Ideal Candidate Profile The ideal candidate is analytical, curious, practical, and commercially minded. They do not just produce reports. They help the business understand what matters, what changed, why it changed, and what action should be taken. They are comfortable working with imperfect data, but they care deeply about accuracy and clarity. They can move between SQL, dashboards, financial analysis, product questions, player behavior, and executive communication without losing the thread. This role is best suited for someone who wants their work to be seen, used, and acted on. You will have the opportunity to directly shape live games with loyal communities, meaningful revenue, and real growth opportunities. Compensation The expected base salary range for this role is CAD $100,000 to $120,000, depending on experience, technical depth, live-service experience, and overall fit. Benefits Benefits ● Group Retirement Savings Plan matching and participation. ● Comprehensive benefits package, including health, dental, and vision coverage. ● Health and Wellness spending account. ● Generous time off policies. ● Opportunity to work on long-running live-service games with established player communities. ● Exposure to product, live operations, monetization, data strategy, and business decision-making. ● A high-impact role where your insights can directly influence what we build and how we operate. Accessibility and Accommodation Big Viking Games is committed to creating an inclusive and accessible environment for all candidates. We welcome applications from individuals of all abilities and will provide accommodations throughout the hiring process as needed. If you require accommodation during the hiring process, please contact hr@bigvikinggames.com so we can work with you to support your needs.

Role Description The Data Insight Analyst is responsible for acquiring, managing and analyzing data that will be presented to internal teams, clients and partners. Duties and Responsibilities: - Developing reports and analytics using data from data warehouse and Salesforce using Excel, SQL, Tableau, and other reporting/analytics tools. - Provide consultative insights: - Analyze data to identify patterns and trends over time. - Compare data from different categories to identify relationships or correlations. - Applying statistical analysis to identify patterns and relationships in the data. - Provide context and explanations for the data by using visualizations and narrative descriptions. - Identify outliers or anomalies in the data and investigate their causes. - Review and QA data/report before it is provided to the client (internal/external). - Communicates directly with customer on data needs and key deadlines. - Researches and identifies data quality issues. - Manage ongoing, incoming partner requests and questions regarding data specifications. - Configures mapping tools to support translation from source data to desired format, including testing of tool and providing clear documentation to internal resources and customer. - Act as resident expert for data requirements/specifications internally and for the client as needed. - Remain informed and up to speed with ongoing changes and evolution of assigned program data specs. - Lead client/partner web-based trainings regarding data specifications and requirements. Qualifications - Self-starter, an individual who is not fully dependent on direction to fulfill the functions of the role. - Thrives in an entrepreneurial-like environment. - Experience with Tableau and Salesforce reporting preferred. - Experience with healthcare and/or pharmacy data preferred. - Experience with Microsoft Excel and SQL is a must. - Previous client-facing experience is a must. - Must be extremely responsive, able to work under pressure in crisis with a strong sense of urgency. Requirements - Diversity: Demonstrates knowledge of EEO policy; Shows respect and sensitivity for cultural differences; Educates others on the value of diversity; Promotes a harassment-free environment; Builds a diverse workforce. - Ethics: Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values. - Adaptability: Adapts to changes in the work environment; Manages competing demands; Changes approach or method to best fit the situation; Able to deal with frequent change, delays, or unexpected events. - Analytical: Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; Designs workflows and procedures. - Business Acumen: Understands business implications of decisions; Displays orientation to profitability; Demonstrates knowledge of market and competition; Aligns work with strategic goals. - Change Management: Develops workable implementation plans; Communicates changes effectively; Builds commitment and overcomes resistance; Prepares and supports those affected by change; Monitors transition and evaluates results. - Customer Service: Manages difficult or emotional customer situations; Responds promptly to customer needs; Solicits customer feedback to improve service; Responds to requests for service and assistance; Meets commitments. - Dependability: Follows instructions, responds to management direction; Takes responsibility for own actions; Keeps commitments; Commits to long hours of work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan. - Design: Generates creative solutions; Translates concepts and information into images; Uses feedback to modify designs; Applies design principles; Demonstrates attention to detail. - Initiative: Volunteers readily; Undertakes self-development activities; Seeks increased responsibilities; Takes independent actions and calculated risks; Looks for and takes advantage of opportunities; Asks for and offers help when needed. - Innovation: Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention. - Interpersonal Skills: Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Keeps emotions under control; Remains open to others' ideas and tries new things. - Oral Communication: Speaks clearly and persuasively in positive or negative situations; Listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings. - Planning/Organizing: Prioritizes and plans work activities; Uses time efficiently; Plans for additional resources; Sets goals and objectives; Organizes or schedules other people and their tasks; Develops realistic action plans. - Problem Solving: Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem solving situations; Uses reason even when dealing with emotional topics. - Professionalism: Approaches others in a tactful manner; Reacts well under pressure; Treats others with respect and consideration regardless of their status or position; Accepts responsibility for own actions; Follows through on commitments. - Quality: Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality. - Teamwork: Balances team and individual responsibilities; Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Able to build morale and group commitments to goals and objectives; Supports everyone's efforts to succeed. - Technical Skills: Assesses own strengths and weaknesses; Pursues training and development opportunities; Strives to continuously build knowledge and skills; Shares expertise with others. - Written Communication: Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read and interpret written information. Benefits - Supportive, progressive, fast-paced environment. - Matching 401(k) with immediate vesting. - Medical, dental, vision, life, & short-term disability insurance.

• The Litigation Data Analyst – Mass Tort & Product Liability serves as a strategic insights partner to our premier mass tort and product liability practice. • This position will leverage data analytics to guide litigation strategy, predict case outcomes, and optimize financial performance across complex multi-plaintiff litigation portfolios. • Analyze historical verdict data, settlement patterns, and case characteristics to develop predictive models for case valuation and outcome probability • Build comprehensive databases of comparable verdicts, settlements, and judicial decisions to support case strategy and client counseling • Develop statistical models to assess likelihood of settlement versus trial outcomes based on case factors, jurisdiction, and opposing counsel profiles • Create financial modeling frameworks to project settlement ranges, trial outcomes, and expected case values across different scenarios • Monitor and analyze mass tort inventory performance, identifying trends in case development, settlement velocity, and financial outcomes • Collaborate with litigation teams to understand case development challenges and translate them into analytical problems • Structure complex litigation problems into clear analytical tasks, supporting strategic decision-making on case selection, resource allocation, and settlement timing • Prioritize analyses based on case value, urgency, and strategic importance to the practice • Design and build automated dashboards tracking key litigation metrics including case inventory, settlement rates, average case values, and practice profitability • Create executive-level reports on practice performance, including revenue forecasts, cost analysis, and profit margins by case type and jurisdiction • Streamline existing case reporting processes to ensure timely and accurate delivery of key performance indicators • Present findings and recommendations in clear, concise manner tailored to different audiences (partners, associates, clients, experts) • Clean, manipulate, and analyze large litigation datasets to extract trends, patterns, and actionable insights • Use statistical and data modeling techniques to support litigation strategy and business development decisions • Connect analytical findings to litigation strategy, financial outcomes, and client impact • Partner with attorneys, paralegals, case managers, and finance teams to gather requirements and align on analytical objectives • Collaborate with business development team to identify market opportunities and practice growth strategies • Share knowledge and best practices with litigation teams to elevate analytical capabilities across the practice