The ideal candidate will bring 5+ years of experience in data analysis, reporting, and business intelligence, with a demonstrated ability to work with large, complex datasets from diverse repositories. This individual will proactively
Key Responsibilities:
Analyze global Services Renewals data to uncover trends, forecast performance, and support revenue optimization strategies.
Design, build, andmaintaindashboards and reports that surface key performance indicators (KPIs) related to renewals, churn, upsell, and customer retention.
Collaborate cross-functionally with Renewals, Sales, Customer Success, and Finance teams to deliver insights that improve forecasting accuracy and operational execution.
Manage an intake queue for ad hoc and strategic data requests, partnering with business leaders to clarify needs, propose analytical approaches, and drive solutions through to delivery.
timely,accuratereporting and insight packages that inform executive decision-making.
Work with large, complex datasets from multiple systems, ensuring data integrity, consistency, and usability across platforms.
identifydata gaps and quality issues, propose solutions, and lead remediation efforts to enhance analytical accuracy and business impact.
Continuously explore data to uncover new opportunities, develop hypotheses, and recommend strategies that improve customer retention and revenue performance.
Leverage BI tools (e.g., Power BI, Tableau, Looker) and SQL to automate reporting, streamline workflows, and scale analytics capabilities.
Contribute to the development and refinement of predictive models that assess customer renewal behavior and risk indicators.
opportunities to apply Artificial Intelligence (AI) and machine learning tools to enhance forecasting, automate insights, andoptimizecustomer success strategies.
Stay current on emerging AI technologies and proactively recommend innovative solutions that improve analytical efficiency, insight generation, and strategic decision-making.
Skills / Knowledge / Abilities:
proficiencyin SQLand data visualization tools such asPower BI, Tableau,andLooker, with the ability to build scalable, user-friendly dashboards.
Proven experience extracting, transforming, and analyzinglarge, complex datasetsfrom multiple systems, ensuring data quality and consistency.
Strong analytical thinking and problem-solving skills, with a proactive mindset for uncovering insights and driving business outcomes.
Demonstrated ability tobuild and apply predictive models
Ability totranslate data into strategic recommendations
Experience supportingCustomer Success, Renewals, or subscription-based business models; familiarity with churn, retention, and upsell analytics is highly preferred.
Effective communicator with the ability to present insights clearly to both technical and non-technical stakeholders, including senior leadership.
Skilled in managing multiple priorities in afast-paced, cross-functional environment, witha strong senseof ownership and accountability.
Familiarity withCRM and ERP systemssuch as Salesforce, Oracle, or SAP.
Working knowledge ofdata warehousing and cloud platforms(e.g., Snowflake,BigQuery, Azure)
Ability toidentifyand applyAI and machine learning toolsto enhance forecasting, automate insights, and improve strategic decision-making.
Qualifications:
, Data Analytics, Statistics, Computer Science, or related field.
5+ years of relevant experience in data analytics, preferably in services, subscription, or renewals-focused environment
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
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