À propos de ce poste Data Analyst chez OLIVER Agency - APAC
Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences.
As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.
Role: Data Analyst
Location: Mumbai, India
About the role:
The MIS Executive will be responsible for managing daily performance trackers for beauty brand, analyzing brand performance across platforms, and providing actionable insights on what’s working and what’s not. This role will also oversee day-to-day brand execution, ensuring smooth coordination between vendors, products, and internal teams while maintaining financial discipline and operational efficiency.
What you will be doing:
Performance & Analysis
- Maintain and update daily performance trackers for LBP across platforms.
Build dashboards and reports to analyze campaign effectiveness, sales trends, and consumer
engagement. - Identify key drivers of growth and areas of concern, providing recommendations for
improvement.
Brand Execution
- Handle day-to-day execution for the brand, ensuring timely delivery of initiatives.
- Coordinate with vendors and product teams for smooth operations.
- Manage Gift With Purchase (GWP) and Purchase With Purchase (PWP) programs across
platforms. - Ensure accurate and timely raising of Purchase Orders (POs) and clearing of invoices.
Financial & Spend Management
- Track brand spends across campaigns and platforms.
- Ensure adherence to allocated budgets and highlight variances.
Support finance team in reconciliation and reporting.
What you need to be great in this role:
- Bachelor’s degree in any field, experience matters.
- 2–4 years of experience in MIS, brand operations, or marketing analytics.
- Strong analytical skills with proficiency in Excel, Power BI, or similar tools.
- Excellent coordination and communication skills to manage multiple stakeholders.
- Detail-oriented with strong organizational skills.
- Ability to work in a fast-paced environment and manage multiple priorities.
- Passion for and inquisitive about AI and new technologies
- Understanding and knowledge of AI tools is beneficial, but ability to learn and digest benefits and features of AI tools is critical
What We Offer
- Opportunity to work with a purpose-driven beauty brand.
- Exposure to cross-functional teams and diverse platforms
Req ID: 18735
#LI-SP1 #LI-Onsite
Our values shape everything we do:
Be Ambitious to succeed
Be Imaginative to push the boundaries of what’s possible
Be Inspirational to do groundbreaking work
Be always learning and listening to understand
Be Results-focused to exceed expectations
Be actively pro-inclusive and anti-racist across our community, clients and creations
Our recruitment process does not employ artificial intelligence. Candidate evaluation and selection are conducted without AI-supported screening or decision-making.
OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.
OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.
