Staff Data Analyst

Upstart; United States; Remote; USD 80,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Staff Data Analyst on the Servicing Analytics team, where your analytical prowess will drive impactful decisions. Collaborate closely with product management, operations, and engineering teams to enhance recoveries and collections strategies through data-driven insights. You'll lead the charge in developing analytical capabilities, conducting in-depth analyses, and mentoring junior team members. With a focus on operational efficiency and strategic recommendations, this role offers a unique opportunity to shape the future of servicing initiatives in a digital-first environment. Embrace the chance to work remotely while contributing to a culture of excellence and innovation.

Benefits

Competitive Compensation

Comprehensive medical, dental, and vision coverage

401(k) with company match

Employee Stock Purchase Plan

Life and disability insurance

Generous leave policies

Wellness reimbursement programs

Social activities and team events

Catered lunches and snacks

Qualifications

• 8+ years in analytical roles in tech and finance.
• Proficient in SQL, Python, and/or R with a strong analytical background.

Responsibilities

• Lead development of analytical capabilities for servicing initiatives.
• Create executive presentations to communicate findings and recommendations.

Skills

SQL

Python

R

Analytical storytelling

Data modeling

A/B testing

Education

Degree in Economics

Degree in Statistics

Degree in Mathematics

Degree in Engineering

Degree in Data Science

Tools

Databricks

DBT

Looker

Snowflake

Redshift

Tableau

Mode

Job description

The Team:

Upstart’s Servicing Analytics team plays a critical role of providing analytical capability for Upstart's servicing functions to enable data-driven decision making. We leverage our analytical and technical skills to support our partners with a multitude of services.

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in influencing Upstart’s success. Partnering closely with our Servicing product management, Operations, engineering, and ML teams, you’ll work directly with key stakeholders, helping drive understanding, insights, decision-making, and data infrastructure relating to the development, optimization, and enhancement of our recoveries and collections strategy. You’ll contribute to key areas such as identifying areas of opportunity via business reviews with leaders and product experiments, and driving operational efficiency. This role involves conducting in-depth analyses, building business intelligence pipelines, designing A/B tests, and collaborating with cross-functional teams to drive impacts.

How you’ll make an impact

1. Lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements.
2. Create regular executive level presentations to communicate findings and strategic recommendations.
3. Design experiments and conduct quantitative analysis to test hypotheses about our users and the way they interact with our servicing initiatives, and collaborate with partners to prioritize the right problems and opportunities.
4. Collaborate with analytics engineering and software engineering to continuously up-level our servicing data capabilities, making new data available as the business expands, and accelerate time to insights.
5. Develop and maintain business intelligence tools to support reporting and decision-making.
6. Mentor junior team members while fostering a culture of excellence in data and analytics, positioning the team as a hub of expertise and innovation.

Minimum Qualifications

• 8+ years work experience in increasingly senior analytical roles in technology and finance industry.
• Strong background in credit, product, or operations analytics, with hands-on proficient in SQL, Python and/or R.
• Exceptional track record of deriving actionable insights from analysis and analytical storytelling.
• Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode.
• Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem-solving skills essential for success.

Preferred Qualifications

• Strong analytical and quantitative background with experience in conducting and evaluating A/B tests, ideally in Financial and/or Operational related fields.
• Expertise in consumer lending, and knowledge of post origination servicing and/or operations.
• Skilled at crafting executive-ready narratives around complex business topics and successfully influence VP+ decision making.
• Demonstrated ability to work collaboratively and in deep partnership with cross-functional teams.
• Demonstrated ability to balance multiple workstreams and priorities; experience influencing up and cross functionally to maximize positive impact to the organization.
• Experience in coaching and mentoring junior team members on technical subjects.

Position location: This role is available in the following locations: Remote

Travel requirements: As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

What you'll love:

• Competitive Compensation (base + bonus & equity).
• Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart.
• 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings.
• Employee Stock Purchase Plan (ESPP).
• Life and disability insurance.
• Generous holiday, vacation, sick and safety leave.
• Supportive parental, family care, and military leave programs.
• Annual wellness, technology & ergonomic reimbursement programs.
• Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering.
• Catered lunches + snacks & drinks when working in offices.

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