Data Analyst, Inventory Partnerships
StackAdapt
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Singapore
Posted 6+ months ago
StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.
The Inventory Partnerships team at StackAdapt is committed to leading growth initiatives for our programmatic advertising products across different inventory channels. As a Data Analyst, your main responsibility will be to utilise your expertise in the programmatic media landscape to collect and analyse data from various sources. Based on your analysis, you will provide recommendations to improve efficiency and performance on our platform. You will collaborate with internal and external stakeholders to identify opportunities that align with our client's requirements. Your duties will include managing tasks such as addressing RFPs, promoting PMP deals, packaging opportunities, and ensuring efficient delivery across multiple inventory channels. You will be vital in driving changes towards new product and platform features by utilising a data-driven approach.
What you'll be doing:
- Provide day-to-day support to our partners, including evaluating new channel or integration upgrades and handling troubleshooting requests.
- Analyse each supply partner and find ways to optimise for better performance.
- Consolidate data from various sources, analyze it, and present findings in an easy-to-understand format.
- Collaborate closely with the sales and account management teams to guarantee the successful execution of advertising campaigns.
- Troubleshoot technical campaign issues for high-value clients
- Identify areas of improvement and generate efficiencies through process automation using tools such as Excel/Python
- Assist the Sales team with complex RFPs with inventory, measurement and data solutions
- Deliver and build scalable, automated solutions for ad-hoc analytics projects
What you’ll bring to the table:
- Bachelor’s degree in a quantitative field or equivalent practical experience
- Previous in-depth experience in data or business analysis
- Successful track record of managing analytics projects from end to end
- Outstanding troubleshooting, analytical, and problem-solving abilities with a keen eye for detail
- Strong technical skills (Excel, SQL, Tableau, Elasticsearch, R or Python)
- Experience working with large datasets with an ability to manipulate and derive meaningful insights and identify trends
- Ability to explain detailed technical analyses to technical and non-technical stakeholders
- Expertise in working with RTB, DSPs, SSPs and other platforms is a plus
StackAdapters Enjoy;
- Competitive salary
- CPF contributions
- 20 days of paid vacation + 1 Culture & Belief day + birthdays off
- Access to a comprehensive mental health care platform
- Private Health Insurance coverage
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office
- Coverage and support of personal development initiatives (conferences, courses, etc)
- An awesome parental leave policy
- Our social and team events!
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
About StackAdapt
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
2023 Best Workplaces for Women by Great Place to Work®
2023 Best Workplaces in Canada by Great Place to Work®
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