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KEY RESPONSIBILITIES
Sales Revenue & Multi-Vertical Analytics • Build and maintain comprehensive sales performance dashboards tracking revenue across all Quantum Storage Systems sales verticals - commercial, industrial, retail, and government • Analyze sales trends, pipeline data, win/loss rates, and revenue forecasting across each vertical and sales team • Develop margin and profitability reports by product line, customer segment, region, and sales channel • Support sales leadership with territory performance analysis, quota attainment tracking, and comparative period reporting • Identify revenue trends, outliers, and growth opportunities through ongoing analysis of multi-vertical sales data
Manufacturing, Pricing & Costing Analytics • Analyze manufacturing cost data including raw materials, labor, overhead, and production efficiency metrics • Build and maintain pricing and costing models that reflect current input costs, margins, and market positioning • Track cost variances, production yield rates, and bill-of-materials changes to support accurate product pricing • Develop reports that provide Finance and Operations with real-time visibility into cost-of-goods-sold (COGS) and gross margin by product and vertical • Partner with the manufacturing team to monitor production KPIs, capacity utilization, and throughput analytics • Support product pricing reviews with data-driven analysis of material costs, competitive positioning, and margin targets
System Data Mapping & Data Management • Own and maintain data mapping documentation across Quantum Storage Systems' core platforms - including NetSuite, Suite Analytics, and Power BI • Build and maintain data dictionaries, field mapping guides, and data flow diagrams that document how data moves between systems • Identify data integrity issues, inconsistencies, or gaps across systems and work with IT and system admins to resolve them • Partner with NetSuite administrators to ensure reporting fields, custom records, and workflows are structured for accurate data capture • Support system migrations, upgrades, and integrations by providing data validation, testing, and mapping support
Reporting, Dashboards & Business Intelligence • Design, build, and continuously improve Power BI dashboards and reports for Sales, Finance, Manufacturing, and Executive leadership • Develop and maintain Suite Analytics Workbooks and saved searches within NetSuite for operational and financial reporting • Create recurring reporting packages including weekly sales summaries, monthly financial close reports, and quarterly operational reviews • Automate manual reporting workflows using Python scripts, scheduled Power BI refreshes, and NetSuite automation • Translate complex datasets and business questions into clear, visually compelling reports accessible to non-technical stakeholders • Maintain a library of standardized report templates, dashboards, and data definitions for use across departments
Must-Have Qualifications
Bachelor's degree in
Data Analytics, Information Systems, Computer Science, Finance, or related field 3+ years of experience in a
data analyst / business analyst / reporting analyst role Strong hands-on experience with:
NetSuite
(reporting / data extraction / financial data handling) Power BI
(dashboard creation, data visualisation, reporting) Python
(data manipulation, automation, analysis)
Advanced
Excel skills
(pivot tables, lookups, data analysis) Experience working with
large datasets and data cleansing Ability to:
Analyse data and generate actionable insights Translate business requirements into reporting solutions
Strong experience in
data reporting, dashboarding, and performance tracking Good communication skills with ability to
interact with business stakeholders Preferred Qualifications (Nice-to-Have) Experience with
SQL
for data extraction and querying Exposure to
ERP systems beyond NetSuite
(SAP, Oracle, etc.) Experience building
dashboards from scratch
vs maintaining existing reports Previous experience in
[client's industry - confirm with POC if needed] Familiarity with
data warehousing concepts or BI architecture Experience with
automation / scripting in Python for reporting workflows Exposure to additional BI tools (Tableau, Looker, etc.) Experience working in a
fast-paced, onsite operational environment Strong understanding of
business KPIs and performance metrics
Sprachkenntnisse
- English
Hinweis für Nutzer
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