Senior Analyst, Insights and Analytics

Description

The ideal candidate will be able to apply knowledge of sales and customer data, as well as plan performance, across multiple lines of business and selling roles to develop insights and key factors driving business performance.

The candidate will leverage training in statistics and work alongside business stakeholders developing and testing hypotheses to solve a wide variety of business challenges. Driven by curiosity and a passion to learn, you thrive in situations where you can bring clarity to ambiguous and multi-faceted problems. A logical thinker who can learn new programming languages, computing applications or data sources with limited support.

Responsible for analyzing complex data and possess intermediate to advanced expertise in data mining, Business Intelligence, data modelling, and visualization tools (specifically, Power BI).

Responsibilities

What you’ll do as the Senior Analyst, Insights & Analytics:

The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Acts as an internal consulting resource for business partners and broader analyst community for applying leading techniques, interpreting data, understanding implications for business function strategy, tactics and ongoing operations.
• Creates and manages complex dashboards, using insights from data exploration to build comprehensive findings with advanced visualizations (using Power BI or other Business Intelligence Tools) and insights.
• Implements leading and lagging metrics ensuring timely deliverables and performance tracking on a daily, weekly, and monthly basis.
• Demonstrate forward thinking by anticipating and remediating potential roadblocks, comprehending the bigger picture of the business strategy.
• Communicate and collaborate effectively with sales leadership to influence field execution.
• Develop actionable insight presentations for business partners and answer complex questions.
• Develop a close collaboration with technology partners to strengthen alignment between business data applications, implications and technical architecture.

What you will bring to the team:

Experience/Qualification:

• Bachelor’s Degree, preferably MS Computer Science.
• 5+ years’ experience working with end-users and key stakeholders in reporting and analytics roles.
• Advanced analytical and quantitative skills with the ability to navigate large and complex data sets, making insightful observations and identifying relevant patterns.
• The ability to adapt to changing priorities and deadlines.
• Excellent communication skills with executives and other internal stakeholders, catering to various levels of analytical proficiency.
• Excellent planning, organization and time management skills including the ability to support and prioritize multiple projects.
• Consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects.
• Experience with building backend systems to support mobile applications preferred.

Benefits:

The organization offers life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with company policy. Employees also enjoy additional perks such as complimentary meals and access to an in-house gym.

Equal Employment Opportunity:

The organization is committed to fostering an inclusive and diverse workplace where every team member is valued and supported. It is an equal opportunity employer and remains dedicated to maintaining a workplace free from discrimination of any kind.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.

Experience

5 Years

Apply By

Dec 10, 2026

Required Skills

• Customer Data Analysis
• Data Analysis
• Time management
• Organization
• Planning
• Communication Skills
• Quantitative Skills
• Analytical Skills
• Power BI
• Data Visualization
• Data Modelling
• Business Intelligence
• Data Mining
• Statistics
• Performance Planning
• Sales data analysis

Nice to Have Skills

• Backend Systems
• Mobile Applications
• Reporting Tools
• Data Storytelling
• Problem Solving