Duties & Responsibilities:
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Develop interactive reports & dashboards against our key performance indicators
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(critical metrics).
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Research analytic methodologies and conduct metric reporting.
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Implement new tools and techniques for viewing, interpreting, and communicating
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organizational data & trends.
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Support operational changes & growth opportunities with data-driven recommendations
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with measurable outcomes.
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Analyze trends to recommend process/operational improvements.
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Prepare detailed & summary level reports including written interpretation of analytic
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results and graphical representation.
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Present results to management, including data-driven business recommendations and
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Alternatives.
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Influence leadership to drive more data-informed decisions.
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Work closely with the Finance department & executive team to support regular business
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review cycles.
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Leverage organizational data through analytics projects and modelling to derive data-
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driven insights and recommendations leading to organizational improvements.
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Define & advance standard processes and champion the use of data & analytics
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organization wide.
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Perform other duties as assigned.
Qualifications
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4–5 years of experience in Reporting, Analytics, Revenue Operations, or related roles, with a proven track record of delivering strategic business impact through data.
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Advanced proficiency with BI tools (e.g., Power BI, Tableau), data modeling, and visualization best practices.
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Strong understanding of GTM metrics across Sales, CS, and Marketing, with experience supporting leadership planning and performance reporting.
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Demonstrated ability to lead analytical projects end-to-end, from requirements gathering to analysis, storytelling, and executive recommendations.
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Familiarity with CRM systems (e.g., Salesforce) and data extraction methods for reporting automation.
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Excellent communication skills, with the ability to simplify complex data and influence senior stakeholders.
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High attention to detail and structured problem-solving; thrives in a fast-paced, evolving environment.
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Experience mentoring or supporting junior team members is preferred.
Bonus: Experience with SQL for data extraction and transformation, Python for advanced analytics or automation, and forecasting/modeling techniques to support strategic planning.
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