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Sales Data Analyst
Career Insights for Software Sales Representative
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Scorecard
Based on Washington data
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What they do
A Software Sales Representative sells software for a company and provides specialized technical assistance for customers. May assist with software installation, training for users, maintenance and upgrades. May travel within a sales district or region to meet with business customers and maintain or upgrade software.
$139,813 / year median in Washington
-13% projected decline
Job Description
1. Collaborate with business stakeholders to deliver highly effective data solutions using descriptive data analytics and business knowledge, leveraging tools such as SQL, Excel, Power BI, Tableau, and Qlik for reporting and actionable visualization. 2. Ensure excellence through fact-based decision making by utilizing reports, dashboards, trend analyses, and data auditing practices (with tools such as Excel, SQL scripts, Power BI dataflows, etc) to create operational awareness and ensure decisions are based on accurate and trustworthy information. 3. Analyze relationships between financial results and sales performance data to identify historical trends, variances, and cost drivers. Track, identify trends and opportunities using KPI's like conversion rates, pipeline velocity, and quota attainment. 4. Develop and propose new metrics and work across the organization to make actionable intelligence available to business stakeholders. Include root cause research and descriptive summaries to identify process breakdowns. 5. Gather pertinent data from large datasets and organize it logically. Apply ETL (Extract, Transform, Load) skills and tools (such as Alteryx, Talend, or SSIS) to harmonize disparate data sets. Interpret data using statistical summaries, Excel pivot tables, SQL queries, and BI visualization tools (e.g., Birst, Power BI, Tableau) to provide ongoing reports and dashboards. 6. Create visualizations such as charts, heatmaps, and scorecards that allow the sales team to quickly understand historical performance while incorporating storytelling techniques to highlight key insights and effectively communicate the narrative behind the data. 7. Ensure data integrity by monitoring data quality, removing corrupt data, and establish processes to ensure accuracy and consistency across all reporting systems. 8. Assist in resolving MRP and planning discrepancies, providing ad-hoc descriptive reports as needed. 9. Maintain professional and technical knowledge by leveraging online resources, attending conferences, pursuing certifications, and staying current with emerging descriptive analytics practices. 10. Identify and implement reporting process improvements to streamline recurring analytics deliverables. 11. Perform under the Working Conditions described below.