Sr. Staff Data Analyst

Found in: Resume Library US A2 - 2 weeks ago


Tempe Arizona, United States Achieve Full time
Job Description

 

As a Sr. Staff Data Analyst – Marketing Analytics, you’ll impact the lives of everyday people and help them move from surviving to thriving with digital personal finance solutions. Behind our forward-thinking technology is a group of curious, innovative problem solvers creating next-level products backed by data and consumer-centric strategy. At Achieve, you’re encouraged to explore new technologies while working on exciting projects that directly impact our member’s success.

We are looking for a Senior Staff Data Analyst who will work closely with our internal and external business partners in developing data-driven solutions for the organization.  In this role, you will be involved in analyzing business performance, understanding campaign results, and providing recommendations for future marketing efforts and product improvements. You will also collaborate with team members in assessing and developing new analytic opportunities within the broader analytics organization.

What you’ll do: 

Conduct large scale analyses, with ownership through all stages: understand business goals and strategies, formulate the analytic approach, perform data extraction, exploration, and transformation, and translate results into actionable items for the business team.

Leverage deep hands-on technical skills to produce analyses in various topics including, but not limited to, customer segmentation, campaign performance, marketing attribution, return on investment/ad spend, and customer lifecycle.

Interact with multiple functional teams across the organization to identify potential issues, implement solutions, improve throughput, and automate recurring processes.

Write queries and build analyses on an ad hoc basis to answer strategic stakeholder questions, balancing short term solutions with long term operations.

Build processes and dashboards to address ongoing and repetitive business needs, working with data engineering, data product managers, and other teammates as needed.

 


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