Manager, Analytics

Key Skills

Big Data Technology, Business Intelligence, Data Analysis, Data Analytics, Data science techniques, Data Visualization, Data Warehousing, Databricks, Effective communication skills, English Proficiency, ETL frameworks, Finance, Google BigQuery, Leadership, Machine learning techniques, Presentation skills, Python Programming, R Programming, Snowflake, SQL, Writing

Job Description

About ONE

ONE is on a mission to help people live healthier financial lives. We’re doing this by creating simple solutions to help our customers save, spend, and grow their money – all in one place. 

The U.S. consumer today deserves better. Millions of Americans today can’t access credit, build savings or wealth, and are left to manage their financial lives through multiple disconnected apps. Almost a quarter of U.S. adults are unbanked or underbanked and roughly 80% of fintech users rely on multiple accounts to manage their finances. 

What makes us unique? We are backed by a preeminent fintech investor (Ribbit) and the world’s largest retailer (Walmart), maintain the speed and independence of a startup, and employ a strong (and growing) collection of world-class talent. 

There’s never been a better moment to build a business that helps people live healthier financial lives. Come build with us!

The role

As a data analytics manager, you will be responsible for leading a team of analysts to deliver datasets, dashboards, reports, and analysis to help ONE make better data-driven decisions, faster. Your mandate will be to support key business stakeholders with recommendations, insights, and self-service data solutions.

This role is responsible for: 

• Developing expertise in ONE’s business, systems, and data.
• Leading a team of analysts by providing coaching, mentoring, and performance feedback to ensure that they are meeting their objectives and developing their skills.
• Working closely with data engineering, product analytics, and other stakeholder teams to optimize data analysis and reporting processes.
• Building scalable and performant datasets in SQL for you and other analysts to leverage across the organization
• Effectively communicate insights and recommendations to key stakeholders in a clear and concise manner.
• Creating data visualizations that help stakeholders better understand complex data sets and insights.
• Ensuring data accuracy, consistency, and completeness by collaborating with cross-functional teams to identify and resolve data issues.

You bring

• English Proficiency Writing and Speaking
• 7+ years of relevant analytical experience
• 3+ years of experience in consumer financial companies
• Strong proficiency with SQL and a scripting language like Python
• Expertise with business intelligence tools (like Looker, Tableau, and Mode), techniques, and best practices. We use Looker and Mode
• Expertise working with data warehousing solutions, like Databricks, Snowflake, and BigQuery
• We use Databricks
• Expertise building complex and performant analytical models using a SQL-based transformation solution. We use dbt (Data Build Tool).
• Working knowledge of data infrastructure and tooling for ETL
• Proven ability to translate data into compelling visualizations with BI tools
• Proven ability to work cross-functionally to translate complex data models into practical business guidance
• Proven ability to communicate clearly to technical and non-technical audiences
• Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’
• An act-like-an-owner mentality. We have a bias toward taking action.

Leveling Philosophy

In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at ONE. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within ONE.

Inclusion & Belonging

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.