Data Scientist at Maqsam

Amman, Amman, Jordan -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Visualization, Dashboarding, Data Analysis, Insight Generation, Revenue Acceleration, Hypothesis Building, Tableau, SQL, Excel, Python, R, SaaS, Problem-Solving, Communication, Business Acumen

Industry

Software Development

Description

About Maqsam Maqsam is the leading Arabic AI-powered Contact Center Solution in the MENA region designed to revolutionize customer experience. Leveraging groundbreaking advancements in AI technology, Maqsam has spearheaded accurate Arabic Call Transcription, advanced analytics, and insights, along with unique AI modeling utilizing its in-house designed LLM. Your Opportunity We are seeking a Senior Revenue Operations Data Scientist to join our Revenue Operations (RevOps) team. This role will be central to building the data-driven foundation of our go-to-market engine. You will design and implement advanced analytics solutions and dashboards, provide contextual insights into performance trends, and help shape strategies to accelerate revenue growth across Sales, Marketing, Demand Generation, and Customer Success. Key Responsibilities 1. Data Visualization & Dashboarding Design, build, and maintain real-time Tableau dashboards that provide a holistic view of the Revenue Organization. Ensure data accuracy, automation, and ease of interpretation for executives and frontline teams. Continuously improve dashboards based on evolving business needs. 2. Data Analysis & Insight Generation Analyze complex datasets to uncover trends, patterns, and anomalies that impact revenue performance. Provide contextual insights into business metrics, helping leadership understand the why behind the numbers. Partner with Sales, Marketing, and Customer Success leaders to answer critical business questions. 3. Revenue Acceleration & Hypothesis Building Develop and test data-driven hypotheses to optimize pipeline velocity, marketing ROI, and customer retention. Collaborate with GTM leaders to recommend strategic actions that can accelerate revenue outcomes. Support experimentation frameworks (A/B testing, predictive modeling, scenario analysis) to validate revenue strategies. Qualifications & Skills Experience: 5–8+ years in data analytics, data science, or business intelligence, preferably within SaaS or a Revenue Operations function. Tools: Expert in Tableau (required), SQL, and Excel; familiarity with Salesforce, HubSpot, or other CRM/marketing automation platforms. Technical Skills: Proficiency in Python/R for data analysis and modeling is a plus. Business Acumen: Strong understanding of SaaS revenue models, funnel metrics, and GTM motions (Sales, Marketing, Customer Success). Problem-Solving: Proven ability to transform data into actionable insights and strategic recommendations. Communication: Excellent storytelling and presentation skills to simplify complex data for senior executives. What Success Looks Like Executives and managers have real-time, trusted dashboards to run the business. The organization moves beyond reporting into data-informed decision-making. Clear hypotheses and evidence-backed recommendations consistently guide strategies that accelerate revenue growth. What We Provide Join a world-class team at Maqsam, where your growth is our priority. Here’s what you can expect: A Collaborative and Friendly Environment. Opportunities for personal and professional growth. Fair Compensation: We value your contribution. A transparent culture that values open communication and integrity. Benefits: First-class health insurance, and more. Part of Something Big: Work with seasoned professionals and be proud of being part of the exciting world of SaaS business. Ready to join Maqsam's team? Apply now!!

Responsibilities

Design and implement advanced analytics solutions and dashboards to provide insights into performance trends. Collaborate with various teams to develop data-driven strategies that accelerate revenue growth.