• Analyze user behaviour and outcomes to drive decisions • Run funnel, cohort, retention, time-to-value, and feature adoption analyses; pinpoint drop-offs and root causes. • Segment analytics by persona, account tier, industry, and/or region to illuminate who succeeds (or struggles) and why. • Combine quantitative signals with VoC (Voice of the Customer) data to produce decision-ready recommendations with expected impact. • Own product analytics platform & metrics framework • Administer and evolve Pendo: event taxonomy, instrumentation to close gaps, governance, and data quality. • Define standards for key product metrics at the product/feature level. • Build and maintain dashboards for product health and usage, ensuring quality and self-serve capabilities. • Drive VoC & GTM feedback loop data strategy • Automate ingestion of product insights, unifying inputs from GTM, support, surveys, and call transcripts. • Implement simple data pipelines to manage data in a robust, repeatable way, ensuring clear lineage and high data quality. • Implement taxonomy and process for feedback to be efficiently categorized, summarized, and prioritized in a data-driven manner. • Implement AI workflows (e.g., topic/intent extraction, clustering, summarization, anomaly detection) where feasible, with human-in-the-loop review and appropriate compliance guardrails. • Contribute to the product commercialization process by helping to define and measure product outcome metrics for product investments to test hypotheses early-on, then to assess ROI on Beta/GA launches. • Provide portfolio-level recommendations—what to scale, fix, or stop—based on impact and confidence. • Conduct analysis to identify opportunities and validate direction for both near-term product improvements and larger strategic bets. • Deliver self-serve dashboards, and/or training to raise analytics fluency; and help GTM team members use analytics as part of renewal and expansion motions. • Collaborate with product managers to design hypothesis-driven experiments to increase activation, stickiness, and expansion; define success and guardrail metrics, do analysis, and make recommendations. • Collaborate with product managers to identify and test growth levers with measurable outcomes.

Title: Senior Analyst, Data Analytics Location: Reynoldsburg United States Pay Range: $102,960.00 – $112,000.00 Brand: Victoria's Secret Location Type: Remote Job Area: Information Technology Employment Type: Full-time Job ID: 04HMX Job Description: Why You Belong Here At Victoria's Secret & Co, you'll join a world-leading specialty retail brand recognized globally for innovation and excellence in lingerie and fashion. You'll work alongside industry leaders to set the standard for what a retail brand can achieve, placing customers at the center of everything we do to create products and experiences that bring them joy. We believe everyone deserves a place where they truly belong. We celebrate individuality and know that your passion, experience, and unique perspective strengthen our team and business. Here, you'll be empowered to perform, grow, and engage through unmatched opportunities to develop your skills, gain real-world experience, and learn from the best in the business. Description Senior Analyst, Data Analytics, Victoria's Secret Stores Brand Management, LLC, Reynoldsburg, OH. Serve as an analytics expert for the Victoria's Secret & Co.'s Enterprise Analytics Department. Work independently, relying on their knowledge of our business and data to create analyses that give insight and direction to the business. Query, summarize, and interpret the customer purchase history, demographic data, web analytics, marketing data, etc. to answer business questions critical to executing programs and driving long term brand strategy. This role requires top level, polished communication to not only deliver data, but answer the business problem and give the data and analysis context. Well versed with analytics technologies and understand how analytics can be used to influence our business decisions. Design and perform analyses as a key business partner to our internal teams. SAS/SQL, Excel, R, Python, and digital analytics tools will be used daily. Responsible for leveraging multiple forms of data to analyze the efficacy of marketing initiatives, merchant assortments, and create prioritized, actionable recommendations. For many business questions, it will be required to extract the information from the enterprise data-mart using SQL, transform and summarize that information with SQL/SAS, export and finalize the analysis within Excel then share and communicate the results via Excel, PowerPoint, email summarization, or in person. Serve as a senior contributor to a department and present findings directly to senior leaders across the organization and manage impactful projects driving millions of dollars in incremental sales. Present and defend your findings. Support customer marketing planning and hindsight activities on digital marketing, offers, email, and tests the business runs. Question the norms and elevate the value or processes behind their work. Produce easy-to-understand, error-free, timely deliverables with a focus on web analytics, marketing performance, cross channel, customer behavior, and margin rate optimization. Financial planning and results estimation (using analysis to inform the future impact of like promotional activity, customer behavior, cross category shopping, etc.). Identify business growth opportunities based on current digital, customer, and market trends. Make hard decisions and defend them. Comparing nearly identical courses of action, identify potential pro/cons, create a POV on the method going forward, defend your choice to others and build support by bringing others to your side. Lead a segment of work to answer a critical business question by applying expertise of the business and system to (a) determine the set of metrics needed to answer the question, (b) the methods to pull and summarize that information (c) an analysis of the results + context, pulling out the insightful and impactful findings and (d) creation and presentation of your method and findings within a well-developed deck to senior leaders of the organization. Manage special projects or serve as a subject matter expert on project teams requiring customer data. Follow special projects through entire project lifecycle with participation in or leadership of planning, executing and closing of these initiatives. Identify white-space opportunities within our group and surrounding operations. Identify statistical methods and rigor that would incrementally improve our results and analysis. Create new processes that can be applied to our current deliverables and add value to the business. Remote Work Available. Telecommuting required - employee may live anywhere in the United States. Minimum Salary: $102,960.00 Maximum Salary: $112,000.00 VS&Co provides a range of compensation for this role as shown. Your actual salary will be determined by a number of factors, including: your specific skills and experience, geographic region, or other relevant factors. Qualifications Requirements Include: Bachelor's degree in Information Technology, Computer Science, Data Analytics, or related field of study and four (4) years of experience as a Data Analyst, Data System Analyst, Data Scientist, or related role. Experience must include: 2 years of experience utilizing statistical concepts, including regression testing and significance testing; 2 years of experience managing multiple competing demands and projects and delivering against aggressive goals; 1 year of tactical and strategic experience with test design and execution as part of a testing and optimization program; 3 years of relational database analysis experience; 1 year of experience in Snowflake; 2 years of high-level programming experience with SQL and Python; and 1 year of marketing and/or retail business experience. Remote Work Available. Telecommuting required - employee may live anywhere in the United States. We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws. Please see links: California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Philadelphia Fair Chance Law, San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance An equal opportunity employer, we do not discriminate in hiring or terms and conditions of employment because of an individual's race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status or any other protected category recognized by state, federal or local laws. We only hire individuals authorized for employment in the United States.

• Looking for former/current systematic traders and quant researchers/analysts • Experts in systematic strategies across equities, equity derivatives and multi-asset • Strong research hygiene • Ability to combine market intuition with statistical learning • Strong writing and communication skills • Offer a high-touch service for select institutional clients

• Partner with Product teams to define success metrics, design experiments, and evaluate feature impact • Design and analyse experiments with statistical rigour • Evaluate experimentation tooling landscape • Define tracking plans, naming conventions, and instrumentation governance • Define and implement product-level KPIs • Build and maintain governed product dashboards in LightDash • Train PMs and product leaders to interpret funnel metrics • Conduct deep-dive analyses on user behaviour, funnel performance, cohort trends, and retention dynamics • Size opportunities and build business cases • Partner with product leadership to evaluate product bets • Help shape how product analytics scales at Airalo • Partner with data and product engineering to define event tracking requirements