Senior Data Analyst - Sales & RevOps

دوام كامل في Rewaa في Saudi Arabia

نُشرت يوم February 4, 2025

تفاصيل الوظيفة

About the Role We are seeking a highly skilled and motivated Senior Sales Data Analyst to join our dynamic data team. This role will focus on empowering our sales operations through data-driven strategies and experiments. You will play a critical role in transforming complex sales data into actionable insights, ensuring that our executive teams have the information they need to make informed decisions. If you have a passion for data storytelling, visualization, and driving business impact through analytics, this role is for you. Key Responsibilities

Collaborate with the sales operations team to develop and implement data-driven sales strategies and experiments.
Design, build, and maintain dashboards and reports that provide key insights into sales performance, customer behavior, and market trends.
Analyze large datasets using SQL to identify patterns, trends, and opportunities for improvement.
Translate complex data findings into clear, actionable insights and recommendations for executive and cross-functional teams.
Lead the development of key sales metrics, KPIs, and targets to measure the effectiveness of sales initiatives.
Provide support for ongoing sales operations and business needs, including ad-hoc analysis and deep dives into specific areas of interest.
Communicate insights and recommendations effectively, tailoring the presentation to the audience, including non-technical stakeholders and executive teams.
Work closely with the data engineering team to ensure data integrity and optimize data pipelines for sales analytics.
Stay updated with industry trends and best practices in data analytics and sales operations.

Key Requirements

Experience:
5+ years of experience as a Data Analyst or similar role, with a focus on sales or sales operations analytics.
Previous experience in a B2B SaaS organization or similar sales-led companies in GTM roles.

Technical Skills:
Advanced proficiency in SQL (mandatory).
Experience with BI and data visualization tools such as Metabase , Tableau, or Power BI.
Strong background in data modeling and working with large datasets.
Experience with data warehouses (e.g., Postgres, Redshift).
Familiarity with CRMs and experience in analyzing CRM data.
Familiarity with DBT and versioning tools like Git.

Analytical Skills:
Ability to analyze and interpret complex datasets to derive actionable insights.
Experience in developing and tracking KPIs, sales metrics, and targets.
Experience in creating methods for monitoring the business and working with statistical models - advantage.

Problem-Solving: Strong analytical and problem-solving skills, with the ability to independently troubleshoot and resolve issues.

Communication:
Excellent storytelling and data visualization skills to effectively communicate findings to executive teams.
Fluency in English (mandatory).

Soft Skills:
Strong problem-solving skills and attention to detail.
Ability to work collaboratively in a cross-functional team environment.
Proactive, curious, and eager to drive continuous improvement.

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