At a Glance
- Tasks: Uncover business needs and drive analytics solutions across various teams.
- Company: Join a leading financial services company focused on innovation.
- Benefits: Competitive salary, health benefits from day one, and a supportive work environment.
- Other info: Opportunity for career growth in a dynamic and collaborative setting.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: 8+ years in analytics roles and strong communication skills required.
The predicted salary is between 50000 - 60000 £ per year.
Job Description
We're actively seeking a talented Business Analyst to join our Advanced Analytics team in Newport Beach, CA.
As a Business Analyst Consultant – Advanced Analytics, you'll serve as the business-facing partner for Advanced Analytics across our Consumer Markets Division.
Sitting at the front of the house, you'll uncover business initiatives, pain points, and value drivers across Finance, Underwriting, Sales, Product, and Fraud – then orchestrate the right analytics solutions by engaging our Analytics Engineering, Data Visualization, and Data Science teams.
You'll own each initiative end-to-end against a delivery timeline and continue evolving solutions long after launch.
Success in this role depends on close collaboration – uniting business stakeholders, Analytics Engineering, Data Visualization, and Data Science teams around a shared goal and ensuring every team is aligned on priorities, scope, and outcomes.
- How you'll help us move forward
- Build trusted relationships with stakeholders across Finance, Underwriting, Sales, Product, and Fraud – becoming the go-to analytics partner for each vertical.
- Uncover business initiatives, pain points, and value measurements through active discovery – diagnosing the real problem before any solution is scoped.
- Translate business needs into clear analytics requirements, success criteria, and prioritized delivery roadmaps that align to enterprise goals.
- Orchestrate delivery by engaging Analytics Engineering, Data Visualization, and Data Science teams – defining scope, sequencing work, and removing blockers without taking on hands‑on build responsibilities.
- Own each initiative end‑to‑end against a defined delivery timeline – managing milestones, risks, and stakeholder communication from intake through adoption.
- Drive continuous improvement post‑launch by tracking adoption, capturing feedback, and partnering with delivery teams on enhancements that evolve solutions over time.
- Measure and communicate ROI – defining benefit metrics up front and reporting realized business value back to stakeholders and leadership.
- Build deep domain expertise within supported verticals to anticipate needs, challenge assumptions, and recommend higher‑value analytics opportunities.
- Stay current on AI agents, Gen AI tooling, and modern analytics patterns – identifying practical use cases that solve business problems.
- The experience you bring
- 8+ years of experience as a Business Analyst, Analytics Manager, Solutions Owner, Analytics Delivery Manager, Product Owner, or a similar business-facing analytics role.
- 4‑year degree or equivalent experience.
- Proven ability to engage business stakeholders, diagnose pain points, and translate needs into clear analytics requirements and delivery plans.
- Demonstrated experience owning analytics initiatives end‑to‑end – managing scope, milestones, risks, and stakeholder communication across multiple teams.
- Strong working understanding of Snowflake (or a comparable cloud data warehouse) as a consumer – able to navigate data structures, validate outputs, and communicate fluently with engineering partners.
- Strong working understanding of modern BI platforms (Tableau and Power BI) – able to interpret dashboards, validate visualizations, and partner effectively with visualization teams.
- Experience partnering with Analytics Engineering, Data Engineering, or Data Visualization teams to deliver analytics products.
- Track record of defining success metrics, tracking adoption, and reporting measurable business outcomes.
- Excellent communication and storytelling skills across analysts, managers, and executive audiences.
- Comfortable navigating ambiguity and balancing multiple initiatives simultaneously.
- What makes you stand out
- Hands‑on fluency with Snowflake and modern BI platforms (Tableau, Power BI) – confident running queries, validating results, and partnering credibly with engineering teams.
- Working knowledge of AI tools, LLMs, and AI agents – including the ability to identify practical use cases that improve analytics delivery or stakeholder self‑service.
- Cross‑functional credibility – able to translate fluently between business stakeholders and analytics engineering and visualization teams.
- Demonstrated initiative‑level ROI ownership – proving and communicating measurable business value, not just delivering features.
- Domain depth in Finance, Underwriting, Sales, Product, or Fraud within financial services, insurance, or a similarly regulated industry.
- Base Pay Range
- $152,010.00 – $185,790.00
- Your Benefits Start Day 1
- Your wellbeing is important to Pacific Life, and we're committed to providing…
- #J-18808-Ljbffr
Business Analyst Consultant - Advance Analytics employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst Consultant - Advance Analytics
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like PVH (Tommy Hilfiger/Calvin Klein)!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Analyst Consultant - Advance Analytics
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at PVH (Tommy Hilfiger/Calvin Klein), tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with PVH (Tommy Hilfiger/Calvin Klein)’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
