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Were looking for a Revenue Data Analyst who combines strong business skills with a strategic mindset and curiosity for how data drives revenue and growth in social mobile apps. Youll partner closely with sales, marketing, and operations teams to turn data into clear sales and marketing insights and measurable business impact.
If youre passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; wed love to hear from you!
Responsiilities:
Identify opportunities for improvement through data analysis aligned with company strategy and revenue KPIs.
Partner cross-functionally to translate data findings into actionable business and marketing decisions.
Design, run, and analyse A/B tests to evaluate sales strategies and revenue monetization.
Build, automate, and maintain dashboards and reports to track sales insights, business behaviour, and key trends.
Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.
Support client QBR, Businesss events, sales speeches with actionable data, insights learnings, answering business challenges, supporting our storytelling or selling speech.

We are seeking a Strategy Analyst to join our marketing team to support market and regulatory research, competitive intelligence, and product strategy.
Responsibilities
Conduct research on healthcare organizations using tools like Definitive Healthcare and public sources to identify market trends, surface new opportunities and segments
Track and summarize regulatory updates to help drive internal alignment, and to support marketing campaigns, product development
Support sales by creating opportunity-level insights, including background on target organizations and suggested tactics based on research
Monitor the competitive landscape, tracking changes in competitor offerings, product launches, and positioning.

Required FP&A Manager
About The Position
We're looking for a highly analytical, detail-oriented FP&A Revenue Analyst to join our Finance team and play a key role in shaping data-driven decisions and supporting a financially strong, rapidly scaling business.
Responsibilities
Act as the primary finance partner for marketing organization, providing guidance on budget planning, campaign performance, and efficiency metrics (e.g., CAC, payback, lead funnel metrics).
Lead and coordinate company-wide ARR and revenue forecasting, annual planning, and rolling forecasts.
Automate and optimize FP&A tools, processes, and systems to scale with our fast-growing environment.

Required Finance Information Systems Specialist
About The Position
As a Finance Information Systems Specialist, you will own the end-to-end billing cycle and revenue operations, ensuring accuracy and efficiency across large-scale data. Youll collaborate closely with CX, Legal, Finance, R&D, and Product teams to streamline processes and support decision-making. The role is highly systems-oriented, working mainly with NetSuite, Zuora, and AI/BI tools to optimize billing, automation, and reporting.
Responsibilities
Manage the end-to-end billing cycle, including invoice generation in NS, distribution, and reconciliation within NetSuite and Zuora.
Investigate and resolve billing discrepancies and customer inquiries in a timely and professional manner.
Collaborate with CX, legal and bookkeeping teams to ensure billing accuracy and compliance.
Conduct month-end and year-end close activities related to billing and revenue recognition.
Serve as a key user and administrator for our billing and financial systems, primarily NetSuite and Zuora.
Maintain data integrity and accuracy across all relevant systems, with a focus on managing and validating large datasets.
Identify and implement system enhancements and automations to improve efficiency and reduce manual effort for high-volume transactions.
Develop and maintain documentation for billing processes and system procedures.
Collaborate with R&D, IT and other departments on system upgrades, integrations, and new system implementations.
Demonstrate strong systems awareness, understanding the interconnectedness of various platforms and data flows.
Conduct comprehensive data analysis of billing trends, revenue metrics, and customer accounts, specifically with the ability to handle and interpret big volume of data.
Generate regular and ad-hoc reports to support financial forecasting, operational insights, and strategic decision-making.
Identify opportunities for process improvement and cost reduction through data-driven insights.
Present findings and recommendations to stakeholders in a clear and concise manner.
Actively research and explore emerging AI tools and technologies that could enhance billing efficiency, fraud detection, revenue assurance, or data analysis capabilities, particularly for large-scale data operations.
Propose and, where appropriate, pilot new AI-driven solutions to optimize existing processes.