Sales Analyzer engineer

GAS Arabian Services Co. Ltd; Dammam, Al Khobar, Al Jubayl; On-site; SAR 180,000 - 300,000; Full time

Job summary

GAS Arabian Services Co. Ltd in Dammam seeks a data-driven Sales Analytics professional. You will build dashboards, forecast performance, and support strategic decisions with rigorous analysis.

Collaborating with sales leadership, you will optimize campaigns, improve data quality, and automate reporting to free time for strategic initiatives. Proficiency in SQL, BI tools, and statistical modeling is essential.

Qualifications

• Bachelor's degree in a quantitative field.
• 3+ years in sales analysis or BI roles.
• Proficiency in SQL for data extraction and analysis.
• Strong understanding of statistics for forecasting and performance analysis.
• Expertise in data visualization using Tableau/Power BI/Looker.
• Experience with CRM platforms (Salesforce, HubSpot).
• Excellent problem-solving and attention to detail.
• Ability to communicate complex data insights effectively.
• Proficiency in Python or R for modeling is a plus.
• Adaptability and willingness to learn new tools.

Responsibilities

• Develop and maintain sales dashboards and reports.
• Analyze sales performance metrics to identify trends and opportunities.
• Collaborate with sales leadership to translate objectives into data-driven recommendations.
• Build predictive models to forecast sales and assess pipeline health.
• Design and implement AB tests for sales campaigns and measure impact.
• Automate data collection and reporting to improve efficiency.
• Conduct deep-dive analyses on customer behavior and market dynamics.
• Communicate findings clearly to technical and non-technical stakeholders.
• Identify and troubleshoot data quality issues to ensure data integrity.
• Stay updated on analytics tools and best practices.

Skills

SQL

Sales analytics

Statistical analysis

Data storytelling

Python

R

Education

Bachelor's degree in Business, Statistics, Economics, Computer Science, or related quantitative field

Tools

Tableau

Power BI

Looker

Salesforce

HubSpot

Job description

Responsibilities

• Develop and maintain sophisticated sales dashboards and reports transforming raw data into actionable insights for the sales team
• Analyze sales performance metrics identifying trends patterns and anomalies to uncover opportunities for revenue growth and process improvement
• Collaborate closely with sales leadership to understand their strategic objectives and translate them into data-driven recommendations
• Build predictive models to forecast sales assess pipeline health and identify potential risks and opportunities
• Design and implement A B tests for sales strategies and campaigns measuring impact and recommending optimizations
• Automate data collection and reporting processes to enhance efficiency and accuracy freeing up valuable time for strategic analysis
• Conduct deep-dive analyses into customer behavior market dynamics and competitor activities to inform sales strategies
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders
• Identify and troubleshoot data quality issues ensuring the integrity and reliability of sales data for informed decision-making
• Stay abreast of the latest analytical tools techniques and industry best practices to continuously enhance analytical capabilities

Qualifications

• Bachelor's degree in Business, Statistics, Economics, Computer Science, or a related quantitative field.
• Proven experience (3+ years) in sales analysis, business intelligence, or a similar data-driven role.
• Proficiency in SQL for data extraction, manipulation, and analysis.
• Strong understanding of statistical concepts and their application in sales forecasting and performance analysis.
• Expertise in data visualization tools such as Tableau, Power BI, or Looker.
• Experience with CRM platforms (e.g., Salesforce, HubSpot) and sales methodologies.
• Excellent problem-solving skills with a keen eye for detail and accuracy.
• Ability to communicate complex data insights effectively through compelling storytelling.
• Proficiency in Python or R for advanced statistical modeling and automation is a plus.
• Adaptability and a proactive approach to learning new technologies and analytical methods.