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Title

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Data Sales Analyst

Description

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We are looking for a Data Sales Analyst who will play a key role in collecting, analyzing, and interpreting sales-related data to support the company's strategic decisions. Your task will be to identify trends, forecast sales, and provide recommendations to optimize sales processes and increase revenue. You will work closely with marketing, sales, and product management teams to ensure data-driven approaches to achieve business goals. The ideal candidate has strong analytical skills, experience working with large datasets, and the ability to present complex information clearly to various stakeholders. We value initiative, attention to detail, and the ability to work in a dynamic environment.

Responsibilities

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  • Collecting and analyzing sales and market data.
  • Preparing reports and presentations for management.
  • Identifying key trends and patterns in data.
  • Developing sales forecasts based on analytics.
  • Collaborating with marketing and sales departments to optimize strategies.
  • Monitoring the effectiveness of advertising campaigns and promotions.
  • Supporting data-driven decision making.
  • Automating data collection and processing workflows.
  • Ensuring data quality and accuracy.
  • Training staff on analytical tools.

Requirements

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  • Bachelor's degree in economics, statistics, mathematics, or related fields.
  • At least 2 years of experience as a data analyst or in sales.
  • Proficiency in SQL, Excel, and analytics platforms (Power BI, Tableau, etc.).
  • Ability to work with large datasets and perform data visualization.
  • Analytical thinking and attention to detail.
  • Good communication skills and teamwork ability.
  • Knowledge of marketing and sales fundamentals.
  • Experience with CRM systems is a plus.
  • Ability to work under multitasking and tight deadlines.
  • English proficiency at least at Intermediate level.

Potential interview questions

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  • What experience do you have with sales analytics?
  • Which data analysis tools do you use?
  • Describe a case where your analysis helped increase sales.
  • How do you ensure data quality?
  • What sales forecasting methods do you know?
  • How do you collaborate with other departments?
  • Tell us about your experience with CRM systems.
  • How do you handle deadlines and multitasking?
  • What data visualization skills do you have?
  • Why are you interested in this position?