• Own and deliver a portfolio of AI and analytics initiatives that measurably improve sales, operations, and customer experience. • Translate business problems into actionable data products (dashboards, models, automations, and self-service insights). • Partner with stakeholders to define success metrics, prioritize use cases, and drive adoption through change management and enablement. • Establish scalable, governed data pipelines that improve data quality, availability, and trust across WPB. • Lead the identification, evaluation, and implementation of AI capabilities to optimize business processes, improve forecast accuracy, increase targeted sales, and enhance supply chain and operational performance. • Build and maintain executive-ready analytics and reporting (e.g., Power BI) that translate complex data into clear, actionable insights. • Design, implement, and operate scalable data pipelines and data products using Databricks and related tooling; ensure data quality, lineage, and reliability. • Partner with business leaders and SMEs to discover high-value use cases, define requirements, establish success metrics, and drive adoption. • Evaluate vendor and internal AI solutions (including GenAI) for fit, risk, scalability, and ROI; recommend a path forward and lead pilots/proof-of-value efforts. • Establish lightweight AI governance practices (data privacy, responsible use, model performance monitoring) aligned to company standards and a regulated environment. • Deliver and improve internal and external digital experiences (websites and B2B marketplace platforms) that support customer needs, compliance, and brand quality. • Apply agile project management practices to plan work, manage dependencies, and deliver incremental value on a predictable cadence. • Create documentation, plans, and training that enable self-service analytics and improve data literacy across the organization. • Provide quality assurance and testing support for new analytics, automation, and AI-related tools to ensure stability and positive user experience.

Role Description As a Financial Business Intelligence Analyst, you will leverage data analytics, financial modeling, and business intelligence tools to transform complex financial data into actionable insights. You will work cross-functionally with finance and IT teams to design dashboards, build ETL pipelines, and deliver intelligence reports that drive strategic decision-making for clients and internal stakeholders. Job Responsibilities - Analyze large financial datasets to identify trends, patterns, and anomalies in revenue, cost, and investment performance using Python (Pandas, NumPy) and SQL. - Design and develop interactive financial dashboards and reports using Power BI and Tableau for client decision-making and KPI tracking. - Build and maintain ETL pipelines using SQL Server Integration Services (SSIS) to consolidate financial data from multiple source systems into centralized data warehouses. - Perform variance analysis comparing actual vs. budgeted financial performance and present findings to client stakeholders. - Develop quantitative models for portfolio performance analysis, asset allocation, and risk assessment applying Modern Portfolio Theory and statistical methods. - Conduct scenario analysis and stress testing on financial models to evaluate investment strategies and risk exposure. - Calculate and monitor risk metrics including Value at Risk (VaR), Sharpe Ratio, and drawdown analysis for client portfolios. - Utilize Bloomberg Terminal data to support financial market analysis, equity research, and investment reporting. - Write and optimize complex SQL queries, stored procedures, and views to support financial reporting environments. - Translate business requirements from finance teams into technical BI specifications and deliver actionable financial intelligence reports. - Document data definitions, business rules, and financial reporting standards for internal and client use. - Collaborate with IT and finance teams to ensure data integrity and accuracy across SQL Server databases supporting financial reporting. Qualifications - 3+ years’ experience in a financial analytics, business intelligence, or data analyst role — experience in financial services or investment management is ideal. - Proven track record of delivering end-to-end BI solutions, from gathering business requirements through deployment and stakeholder presentation. - Strong understanding of financial concepts including P&L analysis, budgeting and forecasting, portfolio analytics, and risk management. - Hands-on experience with ETL development and data warehouse architecture. - Demonstrated ability to translate complex financial data into clear, visually compelling dashboards and reports. - Experience working with large-scale relational databases and writing advanced SQL. - Familiarity with Agile/Scrum development environments. - Excellent analytical, communication, and organizational skills with the ability to present to both technical and non-technical audiences. - Positive, solution-focused attitude with the ability to manage multiple priorities. - Ability to influence key stakeholders on data-driven decisions. - Customer or client-facing experience is a strong plus. Requirements - Proficiency in Power BI (DAX, Power Query, data modeling) and Tableau for interactive dashboard development. - Advanced SQL skills including stored procedures, CTEs, window functions, and query optimization on SQL Server. - Experience with Python for data analysis (Pandas, NumPy, Matplotlib/Seaborn) and automation. - Hands-on experience with SSIS for ETL pipeline development and data integration. - Working knowledge of Bloomberg Terminal for financial data retrieval and market analysis. - Knowledge of statistical methods and quantitative finance concepts (VaR, Sharpe Ratio, Monte Carlo simulation) is a strong plus. - Familiarity with Excel-based financial modeling including VBA/macros. - Experience with version control systems (Git) and CI/CD practices for BI deployments. - Knowledge of cloud-based data platforms (Azure SQL, Azure Data Factory, AWS Redshift) is a plus. - Working knowledge of Jira and Confluence for project tracking and documentation. - Exposure to R, SAS, or MATLAB for advanced statistical analysis is desirable. Educational Requirements - Bachelor’s or Master’s degree in Finance, Economics, Data Science, Statistics, Computer Science, Information Systems, or a related quantitative field. Benefits - Bonus based on performance. - Health insurance. - Paid time off. This is a remote position.

• Provide critical support to the Global, Regional and Local Customer, Data Center, and Internal Operations Team • Responsible for being the liaison/direct link for GCM to the wider IT and technical services organization • Lead GCM and client partnership to shape strategic reporting suite for all programs • Drive and facilitate the global strategic planning process (roadmap) for business intelligence and reporting. • Track and ensure strategic initiatives are managed, delivered, and measured to meet customer goals • Leverage BI tools to collect large data sets, interpret data, identify trends and patterns that could contribute to identifying continuous improvement opportunities • Own central data lake approach. • Design Reports & Dashboards based on business needs • Act as senior technical expert ensuring global standardization of reporting. • Support continuous improvement and change management lifecycle. • Partner with operations to identify, design, and implement requested cases for continuous improvement and innovation initiatives. • Train end users on report interaction, dashboards, etc. • Build, maintain and manage relationships across all levels of the organization and act as the technical interface at global level to operations and appropriate stakeholders on the customer side.

Role Description At Playlist, we're reimagining how businesses harness the power of data to drive meaningful insights and transform decision-making. Our Business Intelligence team is the strategic nerve center that transforms raw information into powerful insights, empowering our teams to make impactful choices. As a Business Intelligence Analyst, Product Analytics, you'll be a critical data partner for our Product organization, building the analytical infrastructure that tells the story of our customers. You'll: - Collaborate with Product teams to understand reporting needs, identify and develop data models in support of self-service, advise on event tracking definitions, and empower self-service in product analytics tools such as Mixpanel. - Build the data quality infrastructure and governance frameworks needed to empower self-service analytics through AI, ensuring stakeholders can confidently trust the results. - Develop dashboards and data visualizations in Hex and Sigma that translate complex data into clear, actionable insights for stakeholders across the Product organization, while collaborating with PMs to address data needs for upcoming features on the product roadmap. - Design and maintain robust data models using SQL in dbt, creating a single source of truth that drives strategic decision-making. - Contribute to the roadmap with Product stakeholders to define goals, prioritize work, and communicate expected timelines and deliverables. - Proactively identify gaps in analytics infrastructure and present solutions. Qualifications - Bachelor's degree, preferably in a quantitative field. - Solid experience in Data Analytics, or a similar role that involves user behavior analysis, preferably in a B2C setting. - Prior experience working with Product teams and Product Analytics (such as A/B testing, funnel analysis, event tracking, user journey analysis, etc.). - Advanced SQL skills. - Experience developing data models in cloud data warehouses (Snowflake, or similar tools). - Exceptional ability to communicate complex technical concepts to non-technical audiences. - Collaborative approach to problem-solving and team dynamics. - Comfort with a remote work environment, collaborating with team members across the globe. Company Description We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.