Who We Are
OVO is Indonesia’s fastest growing and leading payments and financial services platform in Indonesia. Within 2 years, OVO has been recognised as Indonesia’s 5th unicorn and continues to win customer mindshare and heartshare through its innovations within Payments and as it accelerates its Financial Services offerings including digital lending, insurance and investments.
Anchoring on its vision and mission to be the largest Fintech platform in Indonesia through providing Indonesians with equal financial access, to date, OVO has extended its reach to be available across 115mn devices across >30 cities nationwide and is accepted across >500 retailers.
You Will
- Provide analytics project support to Demand Planning and Marketing team.
- Shape and drive the development of OVO’s Marketing BI infrastructure including data warehousing, reporting and analytics platforms.
- Evaluate the effectiveness of marketing efforts including partnerships, promotions, digital channels, and traditional media across different customer types.
- Oversee development of new data models to understand customer behavior, drive customer segmentation, and improve lifecycle from customer acquisition to retention.
- Use customer-centric data for campaign optimization, targeted promotions, and interesting data stories.
- Define key business and financial metrics for marketing teams, to track performance and growth across a broad portfolio of services.
- Work cross-functionally with product, data, and business teams on planning new launches / migrations and tracking adoption.
What You Need
- 5+ years of strong analytical experience and business acumen, preferably in e-commerce or internet industry with people management experience.
- Ability to synthesize big datasets into meaningful insights and provide appropriate BI reports/presentations to stakeholders at all levels of an organization.
- Understanding of marketing and analytical concepts such as segmentation, customer lifecycle, retargeting, attribution models, prediction, and A/B testing is preferred.
- Knowledge of analytical tools such as Excel, SQL, relational databases, Google Analytics, Appsflyer, Omniture, Tableau, and SAS as well as programming languages such as Python is preferred.
- Fast learner and the ability to acquire new technical skills as needed.
- Versatile, self-driven, detail-oriented and hands-on.
- Excellent communication and presentation skills in English.
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