Senior treasury analyst

Senior Data Analyst – Global Advanced Analytics Team

At Toluna, we keep the world’s biggest brands one step ahead of their markets, their competitors, and their customers. For 25+ years we’ve been a leader in consumer insights, and today we’re at the center of our industry’s biggest shift: the move to AI‑powered research grounded in real human truth.

We are seeking a Senior Data Analyst to join our global advanced analytics team. In this highly autonomous role, you’ll lead the design and execution of advanced analytical solutions that inform strategic decision‑making for our clients. You’ll leverage your deep technical expertise and market research experience to drive innovation, mentor junior analysts, and deliver impactful, data‑driven recommendations.

This is an exciting opportunity for a passionate analytics professional who thrives at the intersection of data science, business strategy, and storytelling, with growing expectations around applied AI and intelligent automation.

Responsibilities

• Partner with research, sales, and client stakeholders to translate business objectives into clear analytical approaches, ensuring alignment with strategic priorities.
• Lead end‑to‑end scoping, including framing business questions, defining hypotheses, and recommending appropriate methodologies.
• Act as the primary analytics interface in Brazil, effectively collaborating with non‑technical stakeholders and building strong, trusted relationships.
• Provide consultative guidance throughout the project lifecycle, from early‑stage solutioning through final delivery and interpretation.
• Serve as a lead analytics practitioner, independently designing and executing advanced quantitative methodologies, including segmentation, brand tracking, pricing and elasticity modeling, conjoint and MaxDiff, ad and concept testing, claims substantiation, driver analysis, media mix modeling, and attribution.
• Own the end‑to‑end delivery of analytical projects, ensuring methodological rigor, quality, and business relevance.
• Translate complex analyses into clear, actionable insights, with strong storytelling tailored to senior stakeholders by clearly explaining the mechanics behind models and analytical approaches, ensuring transparency and stakeholder confidence in results.
• Design and develop AI‑enabled analytics solutions (e.g., analytical agents, automated insight generation, decision support tools) leveraging LLMs or similar technologies.
• Identify opportunities where AI can enhance productivity and insight quality across data preparation, modeling, validation, and reporting.
• Partner with engineering, product, and analytics teams to operationalize solutions at scale, ensuring repeatability and efficiency.
• Champion automation and standardization, reducing manual effort and improving consistency across engagements.
• Support the development and adoption of AI governance practices, including responsible use guidelines, bias detection and mitigation, and documentation standards.
• Ensure all analytical and AI‑driven outputs maintain high standards of quality, transparency, and ethical integrity.
• Balance innovation with rigor, ensuring new approaches are credible, defensible, and client‑ready.

Your profile

• 5+ years of professional experience in data analytics, advanced analytics, or market research roles, ideally in a client‑facing or consulting environment.
• Bachelor’s or master’s degree in data science, statistics, economics, computer science, or a related quantitative field.
• Proven ability to lead analytical projects end‑to‑end, from scoping and problem framing through delivery, including stakeholder management and quality control.
• Demonstrated ability to work closely with non‑technical stakeholders (e.g., research, sales, clients), translating business needs into analytical solutions.
• Fluency in English is required; additional languages (particularly Portuguese/Spanish) are a strong plus.

Contract Type

Fixed‑Term Contract (Maternity Leave Cover)

Duration

6 months initially, with potential extension to 9 months.

Benefits

At Toluna, we’re all about creating a welcoming, diverse workplace where everyone can thrive. We offer competitive pay, great benefits, and plenty of opportunities to grow within our global team. Inclusion and respect are at the heart of what we do. Our community connects over 72 million people across 70 countries. If you’re passionate about making an impact, we’d love to have you on board.

Other Benefits: Healthcare, dental care, life insurance, meal vouchers, transportation vouchers, and language class subsidy.

Senior RevOps Analyst – Churn

We are seeking a Senior RevOps Analyst – Churn to join our Customer organisation. Reporting to the RevOps Senior Manager – Customer, this role will lead the reporting, analysis, and process evolution of churn performance as the business scales across multiple business units.

Key Responsibilities

• Churn Reporting & Revenue Impact
  • Own reporting of customer churn and associated revenue impact across all business units. Ensure accuracy across multiple methodologies, reconcile results where required, and translate the numbers into a clear story that can be understood and acted on by senior leaders.
• Retention Analysis & Insight
  • Analyse the customer churn pipeline and build reporting that delivers insight into retention initiatives, discount usage, save rates, customer contact rates, customer health status, and other leading or lagging indicators of churn risk.
• Process Standardisation & Continuous Improvement
  • Drive standardisation and evolution of churn reporting processes as systems, definitions, and business processes mature. Proactively identify opportunities to improve the reporting cycle, increase efficiency, reduce manual effort, and enhance the quality of insight month over month.
• Salesforce Data Quality & Governance
  • Strengthen Salesforce as a system of record by validating data, identifying reporting exceptions, and partnering with Renewals, RevOps, Finance, and Revenue Technology stakeholders to ensure dashboards are accurate and items that are not true churn are not reported as churn.
• Monthly Business Review Preparation & Presentation
  • Prepare materials, briefing documents, and commentary for monthly business reviews. Deep dive into reported numbers, explain key movements and drivers, present insights to senior leaders including the CFO and CCO, respond to queries, track actions, and evolve the reporting process.

Required Qualifications & Experience

Technical & Operational Expertise

• Strong experience in an analytical, finance, revenue operations, customer operations, or similar data‑driven role.
• Bachelor's degree minimum, ideally in Economics, Finance, Business, Data Analytics, or a related field.
• Strong working knowledge of Salesforce, particularly opportunity management, renewal and churn data, reporting structures, and data flows that impact customer and revenue reporting.
• High proficiency in Excel, with the ability to manage complex calculations, reconcile datasets, investigate variances, and build structured reporting outputs.
• Experience with BI or reporting tools such as Power BI is advantageous.

Revenue & Churn Acumen

• Experience working with finance and revenue data, including the concepts of annual recurring revenue (ARR) and contracted annual recurring revenue (CARR) in a subscription or SaaS business.
• Ability to connect churn revenue metrics to retention activity, customer health indicators, and operational performance metrics.
• Strong analytical judgement, with the ability to double click into results, identify root causes, and explain whether movements are driven by data quality, process, customer behaviour, commercial actions, or broader business trends.
• Understanding of customer lifecycle, renewals, retention, and churn management processes is highly desirable.

Leadership & Stakeholder Management

• Competent and confident presenting to, influencing, and constructively challenging senior stakeholders.
• Strong cross‑functional collaboration skills, with experience working across multiple stakeholders in a global organisation.
• Excellent written and verbal communication skills in English, with the ability to turn complex data into clear insight, concise commentary, and practical recommendations.
• Proactive, curious, and comfortable operating in an evolving environment where processes, systems, and definitions continue to mature.

Why This Role Matters

Customer health and recurring revenue are central to a growth business. This role ensures the organisation has accurate, consistent, and insightful visibility of churn and retention performance, helping leaders identify early warning signals, understand the impact of retention initiatives, and take action to protect material revenue. As the company scales, the Senior RevOps Analyst – Churn will play a key role in strengthening the reporting foundation, improving Salesforce data quality, and enabling better decisions that support customer satisfaction, renewal outcomes, and sustainable growth.

Senior Billing Analyst

We are looking for a Senior Billing Analyst to manage billing support, triage financial system incidents, and drive operational accuracy across invoicing, credit memos, refunds, and accounts receivable workflows within a large‑scale SaaS platform. You will write SQL queries to validate and reconcile financial data, support month‑end close activities, and design scalable SOPs and process improvements in close partnership with Finance and Accounting teams. Experience with Zuora or Adyen is a strong plus.

What you will do

• Manage billing support requests, financial system inquiries, and operational issues across finance‑related platforms.
• Own the triage process for incidents, requests, and support tickets, ensuring proper prioritization and routing to the appropriate teams.
• Perform root cause analysis to identify and resolve underlying system, data, and process issues.
• Execute data corrections and operational fixes using internal tools and systems when required.
• Support incident and event management activities, including troubleshooting and resolution of production issues.
• Partner with Finance and Accounting teams to support month‑end close activities.

Senior Data Analyst – Enterprise Dashboards

We are looking for a Senior Data Analyst to design and maintain enterprise dashboards and reporting solutions using Tableau, while performing advanced analysis on complex datasets including compensation and HR data. You will use Python and SQL to clean, transform, and analyze large datasets in Snowflake, translating business questions into clear, actionable insights for both technical and non‑technical stakeholders. The role requires strong independent judgment and the ability to navigate evolving, ambiguous business requirements.

What you will do

• Design, build, and maintain enterprise‑level dashboards and reporting solutions using Tableau.
• Work with complex and highly sensitive datasets, including compensation and HR‑related data.
• Ensure reporting accuracy, consistency, and usability for business stakeholders.
• Use Python and SQL to perform advanced data analysis and generate actionable insights.
• Translate business questions into analytical approaches and meaningful recommendations.
• Identify trends, patterns, and opportunities through exploratory analysis.
• Present findings to stakeholders.

Senior Data Analyst – Employee Communications

As a Data Analyst focused on Employee Communications, you will drive how engagement is measured and optimized across digital channels, turning data into actionable insights that shape messaging and strategy. Leveraging GA4, SQL, and BI tools like Looker Studio or Tableau, you’ll uncover patterns, support experimentation, and enable stakeholders to make data‑informed decisions. This role offers strong visibility and impact at the intersection of analytics, internal communications, and digital platforms.

What you will do

• Define and maintain the measurement framework for Employee Communications, including KPIs, north‑star metrics, and leading indicators.
• Implement and QA GA4 tracking for internal websites, newsletters, and campaign landing pages.
• Build automated dashboards and self‑serve reporting in Looker Studio or Tableau for stakeholders at different levels.
• Analyze traffic, engagement, and content performance across communication channels.
• Segment performance by audience, geography, organization, device, and channel to identify drivers of awareness and action.
• Run experiments and A/B tests on content.