Data Strategy Manager - Marine Division
StorableAbout the role
Storable’s Marine Division (Molo and Stellar) is looking to add a Data Strategy Manager to our team.
As a Data Strategy Manager at Storable, you will be responsible for developing and executing new data-driven strategies that enhance revenue generation while ensuring the effective management of customer relationship management (CRM) systems and seamless data integrations. You will leverage key performance indicators (KPIs), analytics, and financial modeling to make informed decisions and drive business success.
Recently acquired by Storable, Molo and Stellar are Marina Management Software (MMS) solutions which help marine businesses to gain efficiency and offer new levels of customer service. Molo tracks customers, vessels, slip availability, reservations, services, and sales. Stellar helps boat rental and club operators increase revenue by offering a 24/7 booking agent, reduce the volume of incoming phone calls, and mitigate boat damage.
If you’re someone that’s into SaaS and boats, then you’ll love being a part of the Storable Marine Division!
Responsibilities
- Data Strategy Development: Collaborate with cross-functional teams to define and execute new data strategies aligned with business goals. Identify opportunities to leverage data for revenue growth
- KPI Monitoring: Establish and track KPIs related to revenue generation, customer engagement, and data quality. Regularly report on progress and provide actionable insights to stakeholders.
- Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and opportunities for revenue enhancement. Use statistical and analytical techniques to generate actionable insights.
- Data Integration: Work closely with IT teams to develop and manage data integrations between various systems and platforms. Identify opportunities for process improvement and automation. Work closely with Storable’s Business Operations team, diagramming various processes for integration.
- Financial modeling: Create and maintain ad hoc models to support strategic decision-making, including forecasting and scenario analysis, using Excel or other financial modeling software.
- CRM Management: Oversee the maintenance and optimization of CRM systems, ensuring data accuracy, completeness, and relevance. Implement best practices for CRM usage across the organization.
- Optimization: Continuously improve data-related processes and systems to enhance efficiency and accuracy. Implement data quality controls and data governance policies.
- Executive Presentations: Develop compelling presentations and engage in executive-level discussions to articulate the value of data-driven strategies. Influence decision-making at the highest level.
- Reporting and Visualization: Create and maintain dashboards and reports to communicate data insights effectively to both technical and non-technical stakeholders.
- Training and Support: Provide training and support to team members on CRM usage, data management, and analytics tools to enhance data literacy across the organization.
What you need to bring to the table:
- Bachelor's degree in Business, Business Analytics, Economics, Data Science or a related field
- 2+ years of experience in Management, Technology, or Data Consulting
- 3+ years of professional experience in Consulting, Data Science, or Data Analysis
- Proven experience in data strategy development, CRM management, and data integration within a business context
- Strong proficiency in Excel and SQL, and other data analysis tools and languages (e.g., Python, R)
- Strong understanding of SaaS key performance indicators (KPIs) and analytics
- Comfort with ambiguity and ability to create structure in a vacuum
- Familiarity with CRM systems (e.g., Salesforce, HubSpot) and data visualization tools (e.g., Tableau, Power BI)
- Excellent communication skills and the ability to convey complex data insights to non-technical stakeholders
- Strong problem-solving skills and a results-oriented mindset
- Experience in optimizing data processes and implementing data governance practices is a plus
Bonus Points
- Experience with modeling (i.e., financial or otherwise) of large, disparate data sets
- Experience working with Sales teams and data
- Experience working with Client Success teams and data
- Experience with HubSpot
- Significant experience with Salesforce
- Significant experience with Zoho
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