Forbes Advisor is looking for SEO Specialists for its Marketplace platform. Working with the Forbes Marketplace SEO team, you will learn valuable technical SEO skills and will work very closely with the Forbes Marketplace Editorial Team. Forbes Advisor is seeking a dynamic and results-driven SEO Specialist to grow our offering in the US for financial services information and products. We need you to help take us to the next level. We have big aspirations, and youll have all the tools and resources needed at your disposal to make us the #1 organic site in the US for financial services: credit cards, banking, loans, mortgages and investing. You will be one member of a larger team spread between the UK, US & India working to improve and build Forbes Advisor. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of a seasoned and successful company, then read on Responsibilities : Work in partnership with the SEO manager and other SEO team members to build out the editorial roadmaps Conduct detailed keyword research to find the most relevant and effective terms/phrases with the highest ROI Analyse high performing competitor domains to provide insight and opportunities for future growth Optimise current content including title tag and meta description, headers and copy through robust content briefs to improve ranking and internal linking improvements Analyse existing content to identify and implement improvements Monitor and analyse overall site performance including rankings and conversion About You: At least 3+ years of SEO experience Highly organized, with strong attention to detail Strong team player with a positive attitude. Ability to manage a heavy workload both autonomously and with a team Experience with on-page SEO including keyword research, competitive analysis, internal linking and content briefs Youve used SEO tools like Ahrefs, SEMRush, GSC and Google Analytics Working knowledge of technical SEO elements such as schema, canonicals and site speed Have a passion for continued learning and staying up to date on industry news Knowledge and experience with WordPress and other CMS Experience within the U.S. financial industry preferred but not required Perks : Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leave
Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. The Data Research team is responsible for supporting the content written by our expert editors, by collecting, classifying and reviewing data that will be used to subsidize our articles. This is in order to deliver engaging and accurate content our readers expect to help them make smart financial decisions. This role is fundamental to the business success, ensuring we are able to publish content quickly, accurately and to a high standard for the first time. We are seeking a talented individual to help Forbes Marketplace to best leverage and scale our research production capabilities across Forbes Health, Forbes Advisor US, Forbes Advisor international properties, Forbes Home, Forbes Business and Wheels. You will be working with our Research Managers to collect compile data related to financial products including loans, mortgages, savings/checking accounts, credit cards, online brokerage, insurance, as well as topics such as health products, home improvement, entrepreneurship, legal services, education and software as a service (SaaS) platforms - such as project management software, CRMs or e-commerce platforms. Job Description: We are looking for a dedicated and detail-oriented Associate Data Researcher to join our Data Research Team. In this role, you will support the team in gathering, analyzing, and interpreting complex datasets to drive insights and decision-making across various projects. Your work will directly contribute to advancing our understanding of key data trends, enhancing research capabilities, and ensuring the integrity of the data used in decision-making processes. Key Responsibilities: Assist in gathering and compiling relevant datasets from internal and external sources to support research initiatives. Conduct data cleaning and validation to ensure accuracy and consistency is maintained across research projects. Collaborate with senior researchers to brainstorm and execute data research projects Assist in maintaining data quality by conducting regular data audits and performing quality control tasks. Provide ad-hoc research support as needed for ongoing or new projects within the data research team. Ensure the data is entered correctly and in the expected format Note any discrepancies, non-conforming data, or other issues and escalate it if necessary Experience required: At least 1-2 years of experience in data research Good written and verbal communication skills. Attention to detail with the ability to work accurately under tight deadlines. Perks : Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves
Program Manager Data - Chennai Forbes Advisor is a high-growth digital media and technology company that empowers consumers to make confident decisions about money, health, careers, and everyday life. Our global data organization builds modern, AI-augmented pipelines that turn information into revenue-driving insight. Job Description: Were hiring a Program Manager to orchestrate complex, cross-functional data initiatives from revenue-pipeline automation to analytics product launches. You'll be the connective tissue between Data Engineering, Analytics, RevOps, Product, and external partners, ensuring programs land on time, on scope, and with measurable impact. If you excel at turning vision into executable roadmaps, mitigating risk before it bites, and communicating clearly across technical and business audiences, wed love to meet you. Key Responsibilities: Own program delivery for multi-team data products (e.g., revenue-data pipelines, attribution models, partner-facing reporting APIs). Build and maintain integrated roadmaps, aligning sprint plans, funding, and resource commitments. Drive agile ceremonies (backlog grooming, sprint planning, retrospectives) and track velocity, burn-down, and cycle-time metrics. Create transparent status reportingrisks, dependencies, OKRstailored for engineers up to C-suite stakeholders. Proactively remove blockers by coordinating with Platform, IT, Legal/Compliance, and external vendors. Champion process optimization: intake, prioritization, change management, and post-mortems. Partner with RevOps and Media teams to ensure program outputs translate into revenue growth and faster decision making. Facilitate launch readinessQA checklists, enablement materials, go-live runbooks—so new data products land smoothly. Foster a culture of documentation, psychological safety, and continuous improvement within the data organization. Experience required: 7+ years program or project-management experience in data, analytics, SaaS, or high-growth tech. Proven success delivering complex, multi-stakeholder initiatives on aggressive timelines. Expertise with agile frameworks (Scrum/Kanban) and modern collaboration tools (Jira, Asana, Notion/Confluence, Slack). Strong understanding of data & cloud concepts (pipelines, ETL/ELT, BigQuery, dbt, Airflow/Composer). Excellent written and verbal communication—able to translate between technical teams and business leaders. Risk-management mindset: identify, quantify, and drive mitigation before issues escalate. Experience coordinating across time zones and cultures in a remote-first environment. Nice to Have Formal certification (PMP, PMI-ACP, CSM, SAFe, or equivalent). Familiarity with GCP services, Looker/Tableau, or marketing-data stacks (Google Ads, Meta, GA4). Exposure to revenue operations, performance marketing, or subscription/affiliate business models. Background in change-management or process-improvement methodologies (Lean, Six Sigma). Perks : Monthly long weekends—every third Friday off. Fitness and commute reimbursement. Remote-first culture with flexible hours and a high-trust environment. Opportunity to shape a world-class data platform inside a trusted global brand. Collaborate with talented engineers, analysts, and product leaders who value innovation and impact
At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplaces global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the teams skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications.Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves