Job description:
Role Overview:
We are seeking a Data Analyst with expertise in SQL, Python, and Microsoft Excel/Google Sheets to manage data analysis, reporting, and lead allocation for the sales team. The ideal candidate should be detail-oriented, analytical, and proactive in identifying trends and insights to optimize sales performance.
Key Responsibilities:
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Analyze large datasets to extract meaningful insights that support sales and business decisions.
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Manage and optimize the lead distribution process for the sales team based on predefined criteria.
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Develop and maintain dashboards and reports to track key sales metrics.
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Utilize SQL and Python for data extraction, cleaning, and transformation.
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Automate data processing and reporting tasks to improve efficiency.
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Work closely with the sales and marketing teams to improve lead management strategies.
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Identify gaps, trends, and opportunities in sales data and provide actionable recommendations.
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Ensure data accuracy, integrity, and security across all databases and reports.
Requirements:
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Proficiency in SQL (writing complex queries, database management, data manipulation).
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Strong Python skills (for data analysis, automation, and visualization).
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Advanced Microsoft Excel/Google Sheets skills (pivot tables, formulas, data visualization).
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0-1 year of experience in a data analytics role, preferably in sales operations or EdTech.
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Strong problem-solving skills and attention to detail.
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Ability to work with large datasets and generate insights.
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Experience with data visualization tools (Tableau, Power BI, or Google Data Studio) is a plus.
