Remote Senior Product Analyst, Marketing Analytics
Tide
πRemote - India
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Job highlights
Summary
Join Tide in their mission to empower small businesses and help them save time and money as a Senior Insights Analyst.
Requirements
- Experience working in Marketing Analytics with a focus on Subscriptions, Customer Engagement, Customer Lifecycle, Cross Sell, Up Sell, Segmentation, etc
- Experience working in a product/ SaaS company working alongside Product Marketing Managers is highly desirable
- Strong ownership mindset and are always eager to see the impact of your work
- Comfortable in leading and solving vague and ambiguous problems independently
- Good communication skills and the ability to explain basic statistical concepts to business users
- Good SQL/Python Proficiency
- A track record of delivering insight and actionable recommendations in an analytical role
- Ability to effectively form relationships with the business in order to help with the adoption of data driven decision making
- Experience capturing stakeholder requirements across various levels of seniority and functions and building appropriate analytical solutions
- Ability to deal with ambiguity and competing objectives in a fast paced environment
- Solid grounding in statistics and experimentation methodologies
Responsibilities
- Influence our marketing strategies especially in the Subscription business driven by powerful insights
- Present insights to stakeholders & senior management, translating analysis into the 'so what?' and identifying possible actions to take as a result
- Partner with Product teams to build KPIs for new product launches and monitor performance of existing products
- Using your SQL/Python expertise to interrogate our data to solve key business problems
- Proactively bringing new ideas to the table relating to business questions, analytics approaches, datasets and ways of working
- Democratising insights by helping stakeholders with the self serve dashboards
- Assessing opportunities, understanding behaviour, testing hypotheses with data analysis
- Communicate segmentation analysis, relevant trends and campaign performances (including SLAβs & KPIβs) to internal as well as external stakeholders and across the business
- Forecasting through Uncertainty/Sensitivity testing and scenario planning to create data-driven performance from historic and current data
- Presenting data in a clear and easy to comprehend manner, using visualisation tools(Looker)
Benefits
Flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams
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