Principal Analyst, Marketing Analytics
Manila (Flexible)
Genesys
Genesys is a leader for omnichannel customer experience & contact center solutions, trusted by 10,000+ companies in over 100 countries.Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
Principal Analyst, Marketing Analytics is a member of the Revenue Intelligence team, reporting to the Sr. Manager, Revenue Intelligence.
Key Responsibilities, (including but not limited to):
Marketing Analytics
- Analyze data outputs and leverage dashboarding, modeling, and other data visualization techniques.
- Develop data products and strategies that can be utilized within the Marketing Organization, Revenue Intelligence, Growth Finance, and other business units across Genesys.
- Manage regional reporting requirements including but not limited to:
- Curate data driven insights through the development of views with respective stakeholders.
- Work with the team to ensure business reporting requirements are captured and included in global reporting initiatives.
- Support Revenue Operations/Marketing leadership and the marketing analytics team in collating reports, data etc. for QBRs (quarterly business reviews), etc.
- Provide insights into effectiveness of key programs/campaigns while also reporting progress against targets and marketing budget.
Marketing Analytics Excellence
- Work within the Marketing Analytics team to drive a Globally Consistent Cadence schedule; including but not limited to:
- Ensure our dashboards and insights are aligned to the corporate strategic pillars.
- Enablement of stakeholders and business partners to understand and navigate curated analytics.
Measures for Success:
- Curation and development of data sources, reporting templates, and dashboards for management.
- Identify, analyze, and interpret trends in complex data sets.
- Coach, enable, and work with stakeholders to ensure they can derive insights and drive action from produced analytics.
- Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly.
Minimum Requirements:
- Bachelor’s degree Business, Economics, Computer Science, Information Management or Statistics, or 5 years of relevant work-related experience in a quantitative field.
- Strong knowledge of and experience writing SQL (SnowSQL (Snowflake) is a plus).
- Experience with Tableau, Power BI, or similar enterprise-level data visualization tools.
- Experience with KNIME or Python is a plus.
- Working knowledge of data science principles is a plus.
- Understanding of B2B Marketing processes is a plus.
- Understanding of ABM is a plus.
- Advanced level of Excel and experience developing presentations in PowerPoint.
- Minimum 5 years professional experience in business analytics or operations role.
- Strong written and verbal communication skills with a track record of presenting to senior management.
- Strong analytical skills and attention to detail to be able to capture stakeholder needs and translate them into written application and operational requirements.
- Strong team player with ability to work cross-culturally and across business units.
If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.
This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.
Genesys is an equal opportunity employer committed to equity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Analytics Computer Science CX Data visualization Economics Excel Finance KNIME Power BI Python Snowflake SQL Statistics Tableau
Perks/benefits: Career development
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