Sr. Business Intelligence Analyst, B2C

As a Sr. Business Intelligence Analyst at Liflab, your primary responsibilities will include developing data marts tailored for B2C metrics, creating and migrating Tableau dashboards, and conducting deep analyses on ARR and marketing acquisition strategies. You'll work cross-functionally with teams from Marketing, Product, and Finance to ensure your insights align with business goals.

To qualify for the Sr. Business Intelligence Analyst role at Liflab, you should have a minimum of 5 years of relevant experience in Business Intelligence or Analytics, specifically within B2C SaaS. Proficiency in tools like Tableau and SQL, alongside strong analytical skills in areas such as ARR forecasting and marketing efficiency, are essential.

At Liflab, we emphasize a collaborative team culture that supports professional growth. As a Sr. Business Intelligence Analyst, you'll have opportunities for continuous learning, exposure to innovative technologies, and the chance to lead initiatives that shape analytics strategies within the organization.

A Sr. Business Intelligence Analyst at Liflab should be well-versed in Tableau for dashboard creation, as well as dbt and SQL for data modeling and transformation within Snowflake. Familiarity with marketing attribution tools like Liflab is also beneficial for this position.

In the role of Sr. Business Intelligence Analyst at Liflab, you'll work on projects that include developing B2C data marts, analyzing marketing channel performance, optimizing budget allocations, and creating insightful dashboards that facilitate data storytelling across the organization.

In your answer, highlight specific roles you've held focused on B2C analytics, detailing the tools you've used like Tableau or SQL, and how your insights led to measurable business outcomes such as improved marketing efficiency or ARR growth.

Discuss best practices for dashboard migration, emphasizing the importance of understanding the requirements of stakeholders, ensuring data integrity, and creating an intuitive design. Mention any past experiences if applicable.

Explain your process of translating complex data into compelling narratives that resonate with stakeholders, using visualizations and supportive presentations to enhance understanding while aligning with business objectives.

Describe specific metrics and analysis techniques you utilize to assess marketing channel performance, such as tracking ROAS or conversion rates, and how you use this data to inform budget allocation decisions.

Share your practical experience with dbt, detailing how you have used it to streamline data workflows, transform data for analysis, and your understanding of benefits like modularity and version control in BI projects.

Discuss how you collect feedback through regular check-ins, incorporating it into your analysis or reporting processes and ensuring that final outcomes align with stakeholder expectations and business needs.

Talk about how channel attribution modeling helps businesses understand the contribution of each marketing channel to overall conversions and how it enables more informed decision-making concerning budget allocation.

Explain techniques such as cohort analysis or trend tracking that you employ to evaluate retention, alongside metrics you focus on to identify churn triggers and recommend strategies for improvement.

Mention resources such as industry publications, webinars, or networking events that you leverage to stay informed about latest BI trends, tools, and best practices, which enables you to apply innovative strategies in your work.

Share your perspective on the importance of cross-functional collaboration, emphasizing how working closely with teams such as Marketing, Finance, and Operations leads to more successful outcomes and insights that drive the business forward.