Business Analyst
Skills
About This Role
Grandiose
, we are seeking a data-driven
Business Analyst
to join our growing analytics team.
Business Analyst
will partner closely with business teams to drive
customer analytics
,
campaign performance measurement
, and
business growth
.
You’ll build actionable dashboards, design and analyze customer segments, and help shape marketing strategies using insights drawn from data.
Key Responsibilities
- Drive
- customer analytics
- initiatives to support life-cycle marketing, growth strategies, and retention efforts.
- Design and maintain
- Power BI dashboards
- to provide visibility into campaign performance, customer behaviour, and marketing KPIs.
- Develop and refine
- customer segmentation, Churn Prediction
- frameworks for targeting, personalization, and performance measurement
- Partner with campaign managers to define
- target cohorts
- based on campaign objectives and business goals and
- Lead post-campaign analysis
- and provide actionable insights to optimize future campaigns (channel effectiveness, uplift, conversion, etc.).
- Conduct
- web analytics
- (e.g., user journeys, conversion funnels, attribution) using tools like Google Analytics or Adobe Analytics.
- Act as the analytical lead for marketing stakeholders — translating business questions into data problems and delivering data-backed recommendations.
- Support experimentation frameworks including
- A/B testing
- and
- incrementality analysis
- .
Required Skills & Qualifications
- 3+ years of experience in marketing/business analytics, preferably in B2C domains (e.g., e-commerce, retail, digital services).
- Proficient in
Power BI
- (DAX, Power Query) with hands-on experience building scalable dashboards.
- Strong SQL skills; ability to work with large datasets across multiple sources.
- Experience with
- building
- ML models
- for
- customer segmentation
- ,
- RFM analysis
- ,
Churn Prediction, Basket Analysis, Price Sensitivity
- , and
- cohort analysis
- .
- Solid understanding of
- marketing funnels, campaign metrics, and KPIs
- (e.g., ROI, CPA, CTR, CAC, LTV).
- Experience in
- machine learning and statistical modelling using Python
- for data wrangling, statistical analysis and delivering advanced analytics use cases
- Experience with
- web analytics platforms
- (Google Analytics, Adobe Analytics, etc.).
- Excellent communication skills with the ability to simplify complex data insights for business stakeholders.
- Strong business acumen and ability to align analytics with marketing goals.
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