• Partner with business and product stakeholders to define analytics needs and translate them into data-driven solutions. • Design and maintain advanced dashboards and reports that integrate multiple data sources and support strategic decision-making. • Apply statistical concepts, predictive modelling, and rigorous data analysis to uncover trends, patterns, and opportunities. • Deliver insights and recommendations to senior leadership, framing data in ways that drive product, business, and operational improvements. • Lead initiatives to resolve data quality issues, ensure compliance with governance principles, and maintain high standards of accuracy. • Analyse user behaviour, product performance, and customer feedback to shape product strategies and improve user experience. • Support adoption of self-service analytics and promote a data-driven culture across the organization. • Act as a data storyteller, communicating findings clearly to both technical and non-technical audiences.

• Work with stakeholders to identify data analytics needs for different business units. • Use data software tools such as Power BI, Tableau, or similar to develop reports and dashboards. • Perform complex data modelling and design effective data analysis methodologies. • Report findings to internal stakeholders and partner with cross-functional (XFN) teams to identify business improvement opportunities. • Build dashboards, reports, and visualizations to extract and communicate insights. • Identify and resolve data quality issues. • Support and train end users on data exploration and self-service analytics. • Promote a data-driven culture across the organization. • Perform data profiling to detect anomalies and trends. • Conduct statistical analysis and apply techniques such as classification, clustering, regression, and time series. • Ensure compliance with data protection and privacy laws in all analytics processes.

Forbes is an iconic global media brand that has symbolized success for over a century. Fueled by journalism that informs and inspires, Forbes spotlights the doers and doings shaping industries, achieving success and making an impact on the world. Forbes connects and convenes the most influential communities ranging from billionaires, business leaders and rising entrepreneurs to creators and innovators. The Forbes brand reaches more than 140 million people monthly worldwide through its trusted journalism, signature ForbesLive events and 49 licensed local editions in 81 countries. Forbes is seeking a highly motivated Data Analyst to join our Business Intelligence team. This entry-level role is designed for professionals with 1-3 years of experience who are ready to take full ownership of analytical projects, drive strategic insights, and deliver consistently accurate work products. The successful candidate will build a foundation in technical data analysis, structured problem-solving, and proactive stakeholder partnership. Responsibilities The Analyst will own and execute analytical tasks, collaborating closely with senior team members and cross-functional stakeholders. Project Ownership & Execution - Independently own and drive specific components of larger projects, ensuring alignment with project timelines agreed upon with stakeholders. - Manage assigned work end-to-end, demonstrating a solid understanding of project goals and business needs and asking clarifying questions when needed. - Proactively manage stakeholder expectations, communicating key updates and anticipating potential delays. Analytical Rigor & Accuracy - Utilize SQL and data visualization tools to conduct data analysis and translate findings into clear, actionable business insights. - Apply rigorous and documented data validation techniques to ensure work is accurate and error-free before submission. - Clearly articulate the analysis approach and methodology, justifying decisions with relevant business context (the "why") rather than only focusing on technical implementation. Strategic Communication & Partnership - Articulate clear and concise takeaways in verbal and written communication. - Simplify complex technical concepts and data narratives for non-technical stakeholders, fostering organizational clarity and alignment. - Provide proactive partnership by identifying opportunities to contribute data expertise or analysis, even when not explicitly assigned. The ideal candidate - Structured Thinking: Ability to clearly articulate and logically structure thought processes, analysis plans, and conclusions. - Accountability & Reliability: Demonstrated ability to manage assignments, meet agreed-upon deadlines, and deliver complete and accurate work consistently. - Business Acumen: Capacity to quickly understand the core business problem and connect analytical findings directly to business strategy and value. - Team Collaboration: Ability to work effectively within a dynamic team environment and closely collaborate with technical and non-technical stakeholders across different departments. - Proficient in SQL (required for data extraction and manipulation). - Proficient in data visualization tools (e.g., Tableau, Looker, Power BI). - Strong foundational skills in data analysis and interpretation. - Bachelor’s or master’s degree from an accredited university. - 1-3 years of professional or internship experience in data analysis, business intelligence, or a related technical field. The annual base salary range for this role is $85,000 - $90,000 Forbes has estimated the compensation range set forth above in good faith. The compensation range is what we believe we will offer, and ultimately pay, a successful candidate. In determining this range, we consider the experience, level of education (if applicable to the role), knowledge, skills, and abilities required to be had by a successful candidate as well as the budget and the company’s pay rates, generally. This said, we may have to make changes to our compensation estimates and job descriptions from time to time and we expressly reserve the right to do so. Should we make any such changes, this advertisement will be revised to reflect such revisions. We encourage you to occasionally re-visit this advertisement to ensure that you are abreast of any changes. Thank you for your interest in joining Forbes! #LI-PM1 #LI-Remote Forbes aims to offer employees the flexibility they need in order to be successful. Some positions may require candidates to be based in a specific location for consideration while some roles may be fully remote (within the U.S.) if it aligns with the needs of the position. This position is only open to candidates residing in California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Maine, Maryland, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, & Washington. Due to business operations and compliance requirements, we are unable to consider applicants based outside these states at this time. Forbes is an equal opportunity employer. Staff and Applicant Privacy Notice Notice of E-Verify Participation

• Connecting to and extracting data from source systems, applying business logic in the form of data transformations. • Identifying and implementing new data collection processes to include all relevant information. • Collaborate with internal stakeholders across multiple teams, and geographies, to understand business requirements and translate them into solutions. • Design, develop and maintain scalable, automated, user-friendly processes, reports, dashboards. • Develop, and maintain a ADF data warehouse solution, ETL pipelines, and data models to support business intelligence and reporting. • Collaborate with cross-functional teams to identify critical data assets, data flows, and potential data quality issues. • Lead complex data analysis to help stakeholders understand data quality issues. • Proactively measure and analyse data, identify risks and issues, and present solutions. • Collaborate with the reporting team for effective data distribution. • Independently drive projects and prioritization between projects to earn trust from stakeholders