Deals - Data & Analytics - Manager at pwc

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Alteryx, Power BI, Python, Excel, Financial Analysis, Data Modelling, Visualisation, Commercial Insight, Coaching, Cloud-Based Platforms, Data Preparation, Automation, Storytelling with Data, Cross-Functional Teams, Value Creation

Industry

Professional Services

Description

Management Level Manager Job Description & Summary Kia Ora, At PwC, our purpose is clear: to build trust in society and solve important problems. Join our diverse whānau of experts and be supported with coaching, flexibility, and a culture where you truly belong. Here, you’ll work with world-leading technology - including A.I. - bringing your people-focussed skills and experience to deliver outcomes that matter. This is a place to keep growing. You’ll learn from the best, take on meaningful challenges, and make a lasting impact for our clients, our communities, and Aotearoa. Ngā Kōrero mo tēnei tūranga / About the role We’re looking for a hands-on Manager to join our growing Deal Analytics team in Tāmaki Makaurau / Auckland, working at the intersection of commercial, financial and technical disciplines to help our clients make better, data-driven decisions across the deal lifecycle. As part of PwC’s Deals business, you’ll lead and deliver data analytics projects that provide deeper insights into business performance, uncover value creation opportunities, and enable faster, evidence-based decisions for our clients. You’ll work with leading tools and technologies, including Alteryx, Power BI, Python, Excel, and PwC’s proprietary platforms such as Data Studio and Workbench - bringing data to life through intuitive dashboards and advanced analytics. Deliver Analytics Projects: Lead the delivery of analytics workstreams on Deals engagements, including buy-side and sell-side due diligence, corporate finance mandates, and value creation projects. Design Analytical Solutions: Develop data models and visualisations that explain key business drivers (revenue, margin, working capital, workforce, and customer behaviour) across a variety of sectors. Be Hands-On with Tools: Build and automate workflows in Alteryx, create interactive dashboards in Power BI, and perform advanced data analysis in Python and other analytical tools. Apply Commercial and Accounting Insight: Combine analytical outputs with financial understanding to provide meaningful insights into business performance, trends, and valuation drivers. Collaborate and Coach: Work closely with Partners and Directors across Deals, and coach junior team members in analytics techniques, storytelling with data, and tool proficiency. Leverage PwC Platforms: Configure and deliver projects using Data Studio, PwC’s cloud-based data platform, to establish one source of truth, improve reporting, and drive performance transparency for clients. Ngā pūkenga kei a koe / Skills and experience 5+ years of experience in analytics within a professional services, consulting, or corporate environment. Prior experience within a Big Four firm or Deals/Transaction environment is highly regarded. Strong hands-on skills in Alteryx (data preparation, transformation, and automation), Power BI (data modelling and visualisation), Excel (financial analysis and modelling), and Python (advanced analytics). Solid understanding of financial statements, key accounting concepts, and commercial value drivers. Ability to translate complex data into clear insights and communicate findings to both technical and non-technical stakeholders. Experience with PwC tools such as Data Studio and Workbench or similar cloud-based analytics platforms. Enthusiasm for working in cross-functional teams, exploring new technologies, and developing scalable analytics offerings. Ngā āhuatanga hirahira o te mahi ki PwC / Highlights of working at PwC NZ Growth - Global network; leadership development; A.I. tools and training; formal learning pathways Reputation - PwC is known for shaping tomorrow. Join us and you’ll accelerate your career while helping clients and communities solve their most important problems. Wellbeing - Life & income protection; Sonder/EAP/Headspace; 15 days’ paid sick leave; group-rate health insurance (eligibility applies) Flexibility - Flexible working; supportive coaching culture Time off - Purchase up to two extra weeks’ annual leave; two recognition days provided each year; annual summer shutdown period Whānau & community - Paid parental leave for all parents with flexible options and financial planning support; inclusive networks; paid volunteering leave Rewards - Discretionary bonus opportunities; generous referral bonuses; retail discounts & deals Mo te aha tāu e tatari ana? / What are you waiting for? Hit Apply now. To learn how you can grow and shine in your career at PwC, visit our careers site at https://www.pwc.co.nz/careers.html. Grow here. Go further. Nau mai ngā tono moata / We encourage early applications: This role may close before the listed date if we identify a suitable candidate. Travel Requirements Not Specified Available for Work Visa Sponsorship? No Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

Lead and deliver data analytics projects that provide deeper insights into business performance and enable faster, evidence-based decisions for clients. Develop data models and visualisations that explain key business drivers across various sectors.