Decision Scientist, Client Analytics
We are seeking a Decision Scientist to help elevate our client-facing functions—Sales, Customer Success, Customer Strategy, and Marketing—by turning data into actionable insights that drive deeper client relationships and revenue growth. In this role, you will:• Partner with our Commercial teams to identify opportunities, uncover challenges, and deliver insights to our customers in order to deepen the value of our partnerships.• Build and maintain analytical tools, visualizations, and dashboards to highlight trends and patterns, craft clear data narratives, and guide both internal and external stakeholders in making decisive, profitable decisions. • Collaborate with Marketing to develop thought leadership content and strategic perspectives based on actionable insights derived from our data.• Occasionally engage directly with clients and their analytics teams to present or refine your findings, ensuring our recommendations address their needs.The ideal candidate has a strong analytical background, experience in retail decision-making, and a keen ability to translate complex datasets into actionable insights.
Responsibilities
- Design, develop, and maintain intuitive dashboards and analytics tools to support the Commercial teams in selling our retail solutions.
- Convert raw data into actionable insights, presenting both opportunities and risks in a narrative that enhances client engagement and sales effectiveness.
- Frame data analysis in terms of the decision-making process, ensuring insights directly relate to business questions posed by stakeholders.
- Take a 360-degree view of business challenges, considering the type of analysis, visualization methods, and behavioral understanding that can help stakeholders make informed decisions.
- Present findings in a clear and compelling manner to both technical and non-technical stakeholders.
- Provide data-driven recommendations to optimize sales strategies and client targeting.
- Automate data extraction, processing, and reporting to improve efficiency and accuracy.
- Balance the need for rigorous measurement with the reality of business execution, recognizing when to push for clean experiments and when to make decisions based on correlations.
- Maintain a keen focus on process improvement, proactively identifying ways to refine our analytics ecosystem.
Qualifications
- Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, Economics, Business, or a related field.
- 5+ years of experience in decision science, analytics, business intelligence, or a related field.
- Proven track record of bridging analytics with commercial objectives, particularly within Sales or Client Analytics teams.
- Adept at synthesizing complex data into actionable business recommendations.
- Strong SQL skills and experience working with relational databases.
- Hands-on experience with data visualization tools such as Tableau, Looker, Power BI, or similar.
- Experience with Python or R for data analysis is a plus.
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
- Exceptional communication skills with a track record of presenting data-driven insights to stakeholders of all seniority levels.
Preferred Qualifications
- Experience working with retail data or sales analytics.
- Familiarity with cloud data platforms (AWS, GCP, or Azure).
- Understanding of A/B testing, predictive modeling, or machine learning techniques.
Why You’ll Love Working with Us
- Impact at Scale: Your insights will shape decision-making for our most important client-facing initiatives, directly influencing how we deepen customer relationships and showcase the value of our solutions.
- Growth Learning: We’re committed to continuous improvement—expect to broaden your capabilities alongside an enthusiastic and supportive team.
- Innovation Culture: We move quickly, experiment often, and thrive on turning bold ideas into impactful reality.
Originally posted on Himalayas
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