Top Operations Analyst Jobs

Collect, analyze, and report sales data to improve sales productivity. Lead territory design and quota-setting (using Xactly), perform sales and productivity analytics, prepare management reports, model scenarios, identify process improvements, and develop reporting tools to support data-driven sales decisions.

Partner with North America Sales and Operations leaders to drive forecasting, planning, reporting, and analysis. Own monthly/quarterly close cadence, KPI definition, and budgeting. Lead process improvements and AI-driven automation, collaborate with Data Analytics and Accounting, and translate commercial questions into actionable insights to influence business decisions.

Lead analytics and operations initiatives: design end-to-end data solutions, build Power BI dashboards, embed AI and automation via Copilot and Power Platform, administer SharePoint and Smartsheet, drive cross-functional processes, and deliver scalable KPIs and reporting.

Develop and apply mathematical and optimization models to support decision-making, policy, logistics, and program evaluation. Collect and analyze data, build decision-support tools, and contribute to modeling, simulation, and wargaming efforts to advance operational readiness and counter-threat capabilities.

Support month-end and year-end close activities for multiple divisions by preparing journal entries, reconciliations, accruals/deferrals, variance analysis, and payment tracking. Research vendor invoices, support audits, improve accounting operations, collaborate on purchase order processes, and perform financial analysis and special projects to ensure accurate, compliant financial reporting.

Serve as a senior analytical partner to Sales Leadership supporting quota setting, forecast governance, pipeline inspection, and executive-ready reporting. Build models, dashboards, and presentations from Salesforce and planning tools, drive review cadences, coordinate cross-functional stakeholders, improve processes, and support commissions and quota-related escalations to enable data-driven sales decisions.

Transform SOC operational data into actionable insights to improve MDR service delivery. Analyze workflows, identify gaps and trends, define performance metrics, validate improvements, integrate AI into analysis, conduct root-cause investigations, and collaborate with cross-functional teams to enhance quality, efficiency, and customer experience.

Build and monitor financial models, KPIs, and reporting for leadership and investors; support budgeting, forecasting, and ad hoc analysis; administer sales systems (Salesforce, SharePoint), manage sales operations, onboarding, proposals, and process automation; provide training and maintain data integrity and standardized sales resources.

Perform complex analysis and modeling to detect and mitigate commercial payment fraud. Create and update business rules to reduce false positives, analyze alerts and trends, query large datasets, produce reports and dashboards, manage data governance and incident resolution, and collaborate with technology teams to implement process improvements and automation.

Senior-level hands-on role building rapid prototypes and integration assets to modernize fleet operations. Designs technical flow diagrams, extracts and analyzes data from warehouses (SQL/SAS/Excel), develops BI reports (Power BI/Qlik/Tableau), defines metrics, and partners with IT to implement scalable solutions. Reports KPIs and drives process improvements.

Serve as a senior business analyst for a data-driven energy efficiency platform, gathering and documenting system and data requirements, creating JIRA stories, liaising between product, technical teams, and stakeholders, and supporting Agile delivery and operations work.

Support manufacturing FP&A by determining product costing, analyzing variances, forecasting inventory and purchase commitments, performing month/quarter close reconciliations, conducting inventory reserve analysis, building ad hoc analyses, and driving process and system automation for deeper data-driven decision-making.

Support regional field sales to grow gross profit via margin management, account management, new business development, and sales metric measurement. Maintain pricing integrity, own CPQ functions, prepare customer equity statements and business reviews, track pipeline and sales reports, and act as a liaison across sales, CS, purchasing, production, and other stakeholders. Serve as MS Dynamics CRM super user and contribute to budgeting, scorecards, and territory debriefs.

Partnering with the CFO, build and maintain financial models, run scenario analyses, support annual and rolling forecasts, and analyze operational and product profitability. Drive manufacturing productivity, working capital, and pricing analyses; prepare executive materials and support strategic, capital, and transformation initiatives. Collaborate cross-functionally to translate operational data into actionable insights that influence EBITDA, cash flow, and long-range planning.

The Director Analyst focuses on smart manufacturing technologies, advising clients on market landscapes and delivering research on digital transformation and manufacturing technologies to drive key business outcomes.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Provide intelligence support by monitoring communications, maintaining logs, performing analyses, and disseminating information to leadership in a military context.

Provide analytical and operational support for Club operations: develop dashboards and reports, analyze trends and variances, assist month-end reconciliations, support headcount and resource planning, aid internal audits and compliance, collaborate cross-functionally, and document and improve processes.

Lead and improve sales operations by designing territories, maintaining Salesforce assignment logic, ensuring data integrity, supporting compensation operations, building dashboards in Tableau/Power BI, and delivering executive-level reporting and insights to optimize pipeline and revenue performance.

Provide senior operational support for index, fund, product, and account reference data. Ensure data accuracy and timely delivery, lead data quality controls, resolve complex issues, drive process improvements and automation, support onboarding and business continuity, manage vendor and IT interactions, and lead data-related projects and documentation.

Onsite business analyst supporting the National Distribution Service Center: compile, analyze, and report operational KPIs; identify trends and cost-saving opportunities; partner with Operations and Procurement on inventory, profiling, and facility mapping; support cycle counts, recalls, and warehouse tasks; operate material handling equipment; complete projects and ad-hoc analytical requests.

Manage and maintain prospect database and CRM, perform data audits and imports, generate recurring and ad-hoc sales reports, support CRM integrations and sales tools, troubleshoot issues, document workflows, and partner with Sales and IT to improve processes and data quality.

Own KYB/AML and wallet screening infrastructure, lead compliance policy reviews, onboard and monitor counterparties, maintain compliance records, and coordinate with product and engineering. Support loan portfolio covenant monitoring, manage borrower reporting and service provider SLAs, and build tracking tools and dashboards for ongoing monitoring.

Forecast, allocate, and optimize operations headcount through financial and probabilistic models, dashboards, and data analysis. Partner with Operations, Recruiting, and Finance to align staffing, vendor strategy, and budgets, monitor workforce KPIs, automate reporting, and present strategic recommendations to senior leaders.

The role involves leading demand forecasting and S&OP processes, collaborating with sales on trade effectiveness, and supporting ice cream allocations using data analytics.