Overview Position Summary: We’re looking for an Analytics Engineer II to build our next-generation enterprise metrics store and enable insights across underwriting, sales, product, claim and experience. This role blends analytics engineering and prompt engineering, supporting our journey toward a fully governed, AI-ready data ecosystem.As an Analytics Engineer, you will sit at the intersection of:• data modeling (dbt, semantic layer)• business metrics (insurance domain: quotes, binds, premium, agency performance)• analytics engineering (root cause analysis, metric relationships, metric store)This is a hands-on role where you will design, build, and scale core metrics and analytical workflows, working closely with product, business, and engineering stakeholders. The team is evolving toward exposing metric infrastructure as internal services, so you’ll have the opportunity to shape that API layer as it matures. Geo-Salary Information An in-person interview may be required during the hiring process State specific pay scales for this role are as follows: $94,458 to $179,048 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $X85,871 to $162,771 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $77,283 to $146,494 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: - Build and scale the metric layer - Develop and maintain dbt models - Contribute to semantic layer definitions (metrics, dimensions, relationships)Ensure consistency and correctness of: key business metrics o metric hierarchies (metric pyramid) - Implement analytical logic (root cause analysis & metric insights) - Build root cause analysis workflows:Implement baseline comparisons , companion metric analysis - Translate business questions into scalable analytical patterns - Enable metric consumption across toolsSupport metric usage in different BI or analytical tools - Build reusable logic that avoids duplication across tools - Prepare for future API-based metric serving layer - Partner with business and product stakeholders - Work closely with sales, product, underwriting, claims, experience and other business teams, Translate ambiguous questions into: - Structured metrics - Actionable insights - Improve data quality and governance - Define and enforce: - Metric definitions - Dimension standards - Data contracts - Debug issues across: - Upstream pipelines - Semantic layer - Analytical outputs Qualifications Education: - 3–5 years of analytics engineering or similar analytical role experience with dbt or similar transformation frameworks proficiency: models, tests, incremental materialization, Jinja macros - Advanced SQL on a columnar warehouse (Redshift, Snowflake, or BigQuery) - Python for data transformation and analysis (pandas, basic scripting) - Comfort working with YAML-based configuration and version-controlled analytics workflows - Clear written and verbal communication—able to explain metric definitions and data lineage to non-technical stakeholders - Nice to haveP&C insurance domain experienceExperience with:Cohort analysisFunnel metricsPerformance analysisFamiliarity with MetricFlow specifically and the dbt Semantic LayerExposure to Retool or similar low-code tools for operational write-back workflowsFastAPI or similar Python API frameworks (Flask, Django REST) for serving data products as services About the Company Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: https://www.mercuryinsurance.com/about/careers Perks and Benefits We offer many great benefits, including: - Competitive compensation - Flexibility to work from anywhere in the United States for most positions - Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) - Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) - Medical, dental, vision, life, and pet insurance - 401 (k) retirement savings plan with company match - Engaging work environment - Promotional opportunities - Education assistance - Professional and personal development opportunities - Company recognition program - Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law. Pay Range USD $94,458.00 - USD $179,048.00 /Yr.

Role Description APAC Strategy and Operations Specialist - Agency Partner Scope of Services and Deliverables for APAC YouTube Social Duration: 6 months (FTC) Location: Mumbai, India (Remote) Work Shift: Early Morning Start hours basis SGT timezone YouTube has seen tremendous growth in APAC. Millions of users use YouTube to enjoy a diverse range of content produced by a dynamic and vibrant creator and partner ecosystem. The scope outlines the Strategy and Operations services required for the YouTube APAC Social team. This scope requires close collaboration with various cross-functional teams Globally. Hence, we're looking for someone with strong project management and communication skills, who thinks analytically and has a bias for operations and execution. Having a strong understanding of cultural nuances and a passion for social and video culture would help as well. While this scope is within the APAC Social Marketing Team and requires understanding of marketing, social and media, it is not an editorial, community or campaign management scope, although this experience would be beneficial. Candidates for this scope could have worked as: - An associate in digital consulting - A digital or social marketing manager in technology, media or entertainment - A strategic account manager or project director in a social, digital or PR agency What you will be doing: - Strategic Planning & Reporting (OKRs & QBRs) - Manage Team OKRs: Manage the team’s Objectives and Key Results (OKRs), ensuring tracking against goals and establishing a rigorous process to adhere to aligned OKR measurement methodologies. Ensures OKRs are aligned, well measured, reviewed monthly/quarterly, and published to key stakeholders with meaningful commentary. - Quarterly Business Reviews (QBRs): Manage QBRs with leadership and the social team, ensuring that all activities are captured, elevated, and presented in a comprehensive manner. - Team Operations & Enablement: - Team Communication Lead: Act as the lead for internal team communications, including the creation of newsletters and developing an efficient operating model within the Social team as required. - Budget Operations: Oversee budget monitoring and vendor management, ensuring Purchase Orders (POs) are raised, spending is accurately forecasted, and Statements of Work (SOWs) are processed on time. - Process Excellence: Ensure the excellence of key internal operational processes and drive continuous process optimization. Conduct training for the teams as needed. - Real-time optimisation: Work with analysts to create dashboards on social media performance indicators and reports as needed. This is a specialist (vendor) scope embedded with the extended YouTube APAC Social Marketing Team and will work directly with the APAC Social Marketing Lead on your assignments. Qualifications - Strong written and oral communication skills - Advanced Spreadsheet user, including basic automation - Native in Japanese, Korean or Hindi - Experience in social analytics and knowledge of social media monitoring and listening tools (such as BrandWatch, Sprinklr) is a plus - Experience in working with statistical analysis and data mining software is a plus - Passion for and inquisitive about AI and new technologies - Understanding and knowledge of AI tools is beneficial, but ability to learn and digest benefits and features of AI tools is critical Requirements - Req ID: 16963 - #LI-AS2 - #LI-Remote Benefits - Equal opportunity employer committed to creating an inclusive working environment - Encouragement for all employees to reach their full potential - Valuing and respecting individual differences - Consideration for employment without regard to protected characteristics - Ambitious environmental goals around sustainability - Science-based emissions reduction targets - Embedding sustainability into every department and through every stage of the project lifecycle

Role Description - Liderar o design e a evolução de pipelines de dados em ambiente cloud (AWS); - Conduzir a migração de soluções de dados de Azure para AWS; - Definir e implementar arquiteturas modernas (Lakehouse, Data Lakes); - Garantir eficiência, escalabilidade e governança dos dados (catalog, lineage, compliance); - Orquestrar pipelines robustos e sustentáveis em produção; - Estruturar ambientes com CI/CD e boas práticas de engenharia; - Apoiar iniciativas de dados para Machine Learning; - Atuar como referência técnica, propondo melhorias e direcionamentos. Qualifications - Experiência sólida como Engenheiro(a) de Dados Sênior; - Forte domínio em Python, Spark (PySpark) e SQL; - Experiência com orquestração (Airflow, Step Functions ou ADF); - Vivência com Data Lakes e arquitetura Lakehouse (Delta, Iceberg, Parquet); - Experiência com AWS (EMR, Glue, Lake Formation); - Conhecimento em Azure (Data Factory, Synapse, entre outros); - Experiência com bancos como Redshift, Snowflake, PostgreSQL; - Prática com CI/CD (Terraform, GitHub Actions, CloudFormation); Requirements - Diferenciais: Experiência em migração entre clouds (Azure → AWS); - Atuação com dados para Machine Learning; - Vivência em ambientes de alta escala.

Who We Are: TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. The Role The Manager, Analytics Engineering sits within Data & AI Product and Services and leads the enterprise reporting and analytics engineering function. This role is responsible for building, standardising, and scaling trusted reporting products across TKO’s global brands. You will lead a team of BI / analytics engineers responsible for semantic models, metric definitions, dashboards, data visualisation standards, and reporting automation. The role will partner closely with Data & AI Product Management, Data Engineering, Data Science, Data Governance, and business stakeholders to ensure reporting assets are accurate, scalable, governed, and aligned to enterprise data domains. This role bridges business insight needs with modern data platform capabilities. Responsibilities Reporting & Analytics Engineering Leadership - Lead and develop a high-performing team of BI and analytics engineers. - Own the enterprise reporting engineering roadmap in partnership with Data Product management. - Establish scalable patterns for dashboard development, metric definition, and semantic modelling. - Standardise enterprise KPI definitions and reporting frameworks across brands. - Ensure consistent data modelling approaches aligned to canonical domains. Data Modelling & Semantic Layer Ownership - Design and maintain curated, analytics-ready data models. - Own semantic layers, business logic, metric libraries, and reporting data marts. - Partner with Data Engineering to optimise transformations and pipelines. - Implement testing, version control, CI/CD, and observability for reporting assets. - Ensure lineage and metadata are properly documented in the enterprise catalog. Governance & Quality - Embed data quality checks and validation frameworks into reporting workflows. - Ensure alignment with data governance standards, access controls, and privacy requirements. - Eliminate duplicate or shadow reporting solutions across the organisation. - Drive certification processes for enterprise dashboards and KPIs. - Support auditability and traceability of business metrics. Product & Stakeholder Partnership - Translate business insight needs into scalable reporting solutions. - Partner with Product Managers to prioritise reporting backlogs. - Support executive dashboards and board-level reporting frameworks. - Promote self-service analytics capabilities through enablement and training. - Establish SLAs for reporting delivery and support. Operational Excellence - Implement development standards, code review processes, and release governance. - Drive performance optimisation and cost efficiency of reporting workloads. - Maintain documentation, onboarding materials, and reporting playbooks. - Manage vendor tools and BI platform administration where applicable. - Continuously improve reporting maturity across brands. Behavioural Competencies - Strategic Execution – Connects reporting outputs to business outcomes and enterprise data strategy. - Ownership & Accountability – Takes responsibility for data accuracy, reliability, and scalability. - Collaboration – Works effectively across Product, Engineering, Governance, and business teams. - Data Stewardship Mindset – Treats metrics and models as enterprise assets. - Continuous Improvement – Drives automation, standardisation, and engineering best practices. - Influence Without Authority – Aligns federated business teams to enterprise standards. Required Experience and Skills - 7+ years in analytics engineering, BI engineering, or advanced reporting roles. - 2+ years leading or mentoring analytics / BI engineers. - Strong experience with modern data stacks (e.g., Snowflake, dbt, BI platforms). - Deep understanding of dimensional modelling and semantic layer design. - Experience defining enterprise KPI frameworks and governance controls. - Strong SQL and data transformation skills. - Familiarity with CI/CD, version control, and analytics engineering workflows. - Experience working in federated, multi-brand organisations. - Strong stakeholder communication skills, including executive reporting exposure. Preferred Skills - Experience supporting executive and board-level reporting. - Familiarity with data cataloguing and lineage tooling. - Experience with self-service analytics enablement. - Exposure to AI-driven insights or automated reporting. - Experience working in sports, media, entertainment, or large event-driven businesses. Per local requirements and in the interest of transparency, the hourly rate shown below reflects the prevalent current hiring range for this position. Hiring pay rates are based on a number of factors, including location and may vary depending on job-related qualifications, knowledge, skills and experience. The company strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings. Hiring Rate Minimum: $150,000 annually(minimum will not fall below the applicable State/local minimum salary thresholds) Hiring Rate Maximum: $200,000 annually TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee’s or applicant’s race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use.