ANUSHA S S
Summary
Lead business analyst with 4+ years of experience delivering data-driven solutions for Fortune 500 companies. Proven expertise in problem-solving and translating complex business requirements into actionable insights, enhancing efficiency across multiple industries, with strong interpersonal skills fostering collaborations and managing stakeholder engagement. Quick learner with a successful track record in consumer retail and loyalty programs.
Overview
4
4
years of professional experience
Work History
Lead Decision Scientist
Mu Sigma
Bangalore
01.2024 - Current
- Led a 16-member team to strategize 150+ monthly campaigns for Australia's largest loyalty program, driving business growth through new engagements, and crossfunctional collaboration
- Developed and implemented a near real-time qualifier identification framework, enhancing customer experience, and increasing engagement rate by 65%
- Designed and developed a centralized data store by integrating multiple enterprise data sources, reducing turnaround time, and accelerating data-driven decision-making by 29%
- Developed personalized targeting strategies for loyalty campaigns, enhancing customer engagement by 35%
- Redesigned and implemented customer onboarding program, increasing acquisition rate by 18% and engagement by 49%
- Designed and automated action-based triggers for supplier products, resulting in a 15% increase in spend per customer
Trainee Decision Scientist
Mu Sigma
Bangalore
01.2022 - 12.2023
- Developed a Power BI dashboard automating campaign performance reporting, contributing to a 75% reduction in man-hours for critical category-wide offers at a major Australian retailer
- Streamlined post-campaign performance tracking by designing reusable SQL and Excel-based reporting templates using test-control uplift analysis, reducing reporting turnaround time by 40%
- Applied hypothesis testing and A/B testing to optimize target audience and offer mix, achieving 15% reduction in customer acquisition costs for major fuel retailer
- Developed RFM-based customer profiling and segmentation models, tagging customers with engagement scores derived from purchase behaviour to enable precise audience targeting
- Performed basket mix analysis and participation indexing to aid retail suppliers in cross-product customer acquisition and identification of loyal customers
Education
B.E - COMPUTER SCIENCE
Vidya Vardhaka College of Engineering
Mysore07-2022
Skills
Programming and Databases:
- SQL
- Basic Python Programming
- Snowflake
Data Visualization and BI Tools:
- Power BI
- MS Excel
- Microsoft PowerPoint
Analytical Skills:
- Customer Analytics
- Loyalty Analytics
- Hypothesis Testing
- A/B testing
- Storyboarding
Leadership and Collaboration:
- Project and team management
- Stakeholder management
- Team leadership
Accomplishments
- Received 6 Spot Awards at Mu Sigma (2022–2025) for consistently demonstrating leadership, business acumen, and dedication. Recognized for steering teams and proposals, managing high‑visibility deliverables, driving customer engagement, optimizing acquisition, and ensuring seamless delivery with proactive commitment and impact
Languages
Kannada
Native
Native
English
Proficient (C2)
C2
Hindi
Proficient (C2)
C2
Timeline
Lead Decision Scientist
Mu Sigma
01.2024 - Current
Trainee Decision Scientist
Mu Sigma
01.2022 - 12.2023
B.E - COMPUTER SCIENCE
Vidya Vardhaka College of Engineering