Manager, Revenue Operations (Business Intelligence)
United States
StackAdapt
StackAdapt is a top-ranking programmatic advertising platform used by the most exceptional digital marketers.The Manager, Revenue Operations will report to the Director, Revenue Operations within the Commercial Strategy & Operations organization. This role will work cross-functionally with key stakeholders in Sales, Client Services, Marketing, Finance, Enablement, Data and Engineering to build, manage and scale StackAdapt’s Business Intelligence capabilities in support of the growing Revenue organization.
What you'll be doing:
- Partner with stakeholders across the Revenue Organization to understand the BI needs to support the rhythm of business, GTM expansion efforts, and ongoing operations; Own ideation and execution of data-driven solutions.
- Understand the business context and goals in order to develop operational & executive dashboards, reports, and tools. Design and execute effective data visualization strategies for presenting complex data.
- Complete ad hoc requests for data and reporting needs outside of available dashboards.
- Act as owner and administrator of our reporting tools, ensuring data integrity and reliability across the reporting suite.
- Design, build and maintain data pipeline to collect, process and analyze large and complex data sets from various sources.
- Partner with data and engineering team to develop backend data sources that fuel reporting and query optimization. Assess, refine, and grow data that is available to and leveraged by the Commercial Strategy & Operations team.
- Proactively identify opportunities to improve data architecture, data hygiene, and data governance.
- Document metric requirements, data lineage, and data governance requirements to meet business needs.
- Identify opportunities to enhance data management practices and influence data strategy for continuous improvement and optimized utilization.
- Ability to balance and prioritize multiple conflicting requirements with high attention to detail.
What you'll bring to the table:
- 5+ years of experience designing, developing, testing, and implementing scalable, high-performing data and analytics enterprise solutions.
- Proven ability to analyze complex business problems using data and translate them into actionable insights stemming from data analysis.
- Minimum 3 years of experience creating dashboards and interactive reports, data analysis in BI tools (Thoughtspot, Tableau, Streamlit, Looker, etc)
- Expertise in SQL, comfortable with at least one programming language (e.g. Python, R, Java, etc).
- Excellent communication skills, with the ability to explain complex data insights to tech and non-technical stakeholders of all levels.
- Experience with Google Cloud Technologies is a plus.
StackAdapters Enjoy:
- Highly competitive salary
- RRSP/401K matching
- 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
- Access to a comprehensive mental health care platform
- Full benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave policy
- A friendly, welcoming, and supportive culture
- Our social and team events!
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:
Ad Age Best Places to Work 2024G2 Top Software and Top Marketing and Advertising Product for 2024Campaign’s Best Places to Work 2023 for the UK2024 Best Workplaces for Women and in Canada by Great Place to Work®#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
#LI-Remote
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Business Intelligence Data analysis Data governance Data management Data strategy Data visualization Engineering Finance GCP Google Cloud Java Looker Python R SQL Streamlit Tableau Testing
Perks/benefits: Career development Competitive pay Conferences Health care Parental leave Team events
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