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Sales Analyst

4 weeks ago

Dubai, Dubai, United Arab Emirates Mastercard Full time
Roles and responsibilities

As a Sales Analyst, you will useanalytical and problem-solving skills to provide analyses andsolutions that satisfy business needs and inform strategydevelopment. Leverages data tools to develop revenue and expensebenchmarks and performance trends. Assists with creating salespresentations, proposals and internal business case development.Works collaboratively across various internal teams to support avariety of business initiatives

Whatyou'll need

To be available to workFull-time between 26th May/2nd June 2025 to 8th August or late Juneto late August 2025

To be a PenultimateMasters/Undergraduate Student, due to graduate no earlier than2026

Innovative thinking and thoughtfulrisk-taking.

Ability to partner across theorganization.

Sound communicationskills.

Expert PC skills including proficiencyin Microsoft Excel, Word, PowerPoint, andAccess

  • Excel or GoogleSheets: For data analysis, reporting, andvisualization.
  • SQL:For querying and extracting data fromdatabases.
  • Tableau or PowerBI: For creating interactive dashboards andvisualizations.
  • CRMTools: Salesforce, HubSpot, or similar tools fortracking customer interactions and salesactivities.
  • Google Analytics orMarketing Automation Tools: For tracking sales andmarketing efforts, particularly in digitalsales.

Additional Skills That CouldBe Helpful:

  • Python orR: If you need to handle large datasets or performadvanced data analysis, programming languages like Python or R canbe beneficial, especially for automating reports or implementingstatistical models.
  • MachineLearning: If your organization is moving toward moredata-driven predictive sales models, having a basic understandingof machine learning (e.g., regression analysis, clustering) can beadvantageous.
  • FinancialAcumen: Understanding financial reports and keyfinancial metrics, such as operating income and return oninvestment (ROI), can provide more in-depth insights when analyzingsales performance.

Example of DailyResponsibilities:

  • AnalyzeSales Trends: Reviewing past sales data to identifytrends, such as seasonality, customer preferences, and sales teamperformance.
  • GenerateReports: Creating daily, weekly, or monthly reportsfor senior management to evaluate performance againstKPIs.
  • Provide ActionableInsights: Offering recommendations for salesstrategies based on your findings (e.g., targeting specificcustomer segments or adjustingpricing).
  • Collaborate with Sales& Marketing: Helping to identify salesopportunities and gaps in the market by providing data-driveninsights.

Key Metrics a Sales AnalystMay Track:

  • SalesRevenue: Total sales generated during a specificperiod.
  • Average DealSize: The average value of deals closed by the salesteam.
  • Sales PipelineHealth: Understanding the number of prospects ateach stage of the salesfunnel.
  • ConversionRates: The percentage of leads that turn into payingcustomers.
Desired candidate profile

.AnalyticalSkills

  • DataAnalysis: Analyzing sales data to identify trends,patterns, and areas for improvement. This includes breaking downlarge datasets into actionableinsights.
  • DataVisualization: Presenting data clearly using visualtools like charts, graphs, or dashboards to make insights easierfor stakeholders to understand.

2.Excel/SpreadsheetProficiency

  • AdvancedExcel Skills: A Sales Analyst must be comfortablewith advanced Excel functions like VLOOKUP, pivot tables, SUMIFs,and conditional formatting.
  • DataModeling: Building models to forecast sales trends,revenue, or other performancemetrics.

3.SQL/DatabaseSkills

  • SQL:Being able to query and extract data from databases to analyzesales performance, customer behavior, and other key metrics. SQL isa valuable tool when working with large datasets that are stored inrelational databases.
  • DatabaseManagement: Understanding how to manage and querydata in platforms like MySQL, PostgreSQL, or cloud-based solutionslike Google BigQuery or AWSRedshift.

4. SalesForecasting &Reporting

  • Forecasting:Using historical data and analytical techniques to predict futuresales, revenue, or market trends. Familiarity with time seriesanalysis or predictive modeling techniques isbeneficial.
  • Reporting:Generating regular sales reports for leadership, including keyperformance indicators (KPIs) such as sales growth, conversionrates, and customer acquisitioncosts.

5. CRMTools

  • Familiarity withcustomer relationship management (CRM) tools likeSalesforce,HubSpot, or ZohoCRM is often important, as they are used to tracksales activities, customer interactions, and leadgeneration.

6.Understanding of Key SalesMetrics

  • Revenue& Profit Margins: Analyzing revenue growth,profit margins, and sales conversionrates.
  • Customer Acquisition Cost(CAC): Calculating how much it costs to acquire acustomer, which helps in assessing the efficiency of marketing andsales efforts.
  • Lead ConversionRates: Understanding how well sales teams areconverting prospects intocustomers.
  • SalesCycle: Evaluating the length of the sales cycle andidentifying ways to improveefficiency.
Key Skills
Sales Analysis,Sales departments,SalesExperience
Employment Type :Full-time
Department / Functional Area: Sales
Experience: NotMentioned years
Gender: Male
Vacancy: 1
Joining Date: Sun, 02 Mar 2025