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 Data Analyst, Operations at Kikoff

Data Analyst, Operations

@

Kikoff

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Posted on: 
March 18, 2025
Status: 
Expired
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Summary of the Data Analyst, Operations job at Kikoff

Kikoff is hiring a Data Analyst, Operations with 3 - 5 years of experience. Based in United States - San Francisco, CA and with In-office ways of working. The expected salary range for this role is $110,000 - $160,000
About Kikoff

Kikoff was founded in 2019 with a not-so-simple goal: make it easier for people to build credit.
Credit plays a huge role in our lives, from opening a credit card to qualifying for a home loan. But there’s a catch, it’s easier to build credit, when you already have it.
Co-founders Cynthia Chen and Christophe Chong understood this challenge first hand, so they built a solution. Kikoff’s main product is our Credit Account, a specialized, reported tradeline exclusively focused on building credit. To make Kikoff even better for users, we’ve added other great features like Rent Reporting, Bill Reporting, and Identity protection tools.

Check out our career site to see how you can help credit builders score.

Data Analyst, Operations job description

As the first Operations Data Analyst at Kikoff, you will help shape the future of our Operations organization. This is a great opportunity to use your data expertise, analytical mindset, and cross-functional collaboration skills to optimize how our Operations team works and drives impact.

About the Role

The Operations organization at Kikoff handles diverse responsibilities, including customer support, fraud prevention, prioritizing customer feedback, and collaborating with Product and Engineering teams. As the first Operations Data Analyst, you’ll report directly to the Operations team while receiving mentorship from the Data team. You’ll tackle high-impact projects that blend data analysis with strategic thinking to enhance our operations.

What You’ll Do
Your key responsibilities will include projects such as:

Forecasting Workforce Needs: Use data to ensure we understand resource and staffing needs to meet customer demands.

Improving Customer Experience: Investigate and analyze customer issues and unhappy paths. Identify trends and actionable solutions, and develop business cases to prioritize effectively.

Enhancing AI Chatbot Performance: Pull and analyze data from AI-powered chatbot conversations to improve outcomes.

Empowering the Team: Support teammates by automating analyses and writing SQL queries to evaluate the effectiveness of operations strategies and decisions.

Strengthening Fraud Prevention: Develop data-driven methods to enhance fraud detection and prevention strategies.

This role offers significant growth potential, with opportunities to take on new responsibilities or evolve into more advanced roles as the team grows, depending on your skills and interests.

Data Analyst, Operations job requirements

Qualifications

2+ years of experience in a Data Analyst, Data Scientist, or similar role

Fluent in SQL

Proficient in statistics and probability

Proficient in Excel or Google Sheets

Excellent communication skills—you can translate complex data into clear, actionable insights

Business acumen and ability to adapt recommendations to diverse objectives

Proven ability to work on multiple projects and navigate ambiguous situations with multiple stakeholders

What we offer at Kikoff

Why Kikoff:

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We are backed by some of Silicon Valley’s top VCs, including GGV capital, Lightspeed Ventures, Female Founders Fund, and others. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.

🏥 Medical, dental, and vision coverage - Kikoff covers the full cost of health insurance for the employee!

📈 Stock Options

🏝 Flexible vacation policy to help you recharge

💰US salary range for this full-time position consists of base + equity + benefits

Our salary ranges are determined by role and experience: $110,000–$160,000 + equity

Apply now

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Average data analyst salary in the Financial industry is $109,304.
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Kikoff

Kikoff

is hiring

Data Analyst, Operations

Website:
Posted on: 
March 18, 2025

About Our Company

Kikoff was founded in 2019 with a not-so-simple goal: make it easier for people to build credit.
Credit plays a huge role in our lives, from opening a credit card to qualifying for a home loan. But there’s a catch, it’s easier to build credit, when you already have it.
Co-founders Cynthia Chen and Christophe Chong understood this challenge first hand, so they built a solution. Kikoff’s main product is our Credit Account, a specialized, reported tradeline exclusively focused on building credit. To make Kikoff even better for users, we’ve added other great features like Rent Reporting, Bill Reporting, and Identity protection tools.

Check out our career site to see how you can help credit builders score.

Job Description & Responsibilities

As the first Operations Data Analyst at Kikoff, you will help shape the future of our Operations organization. This is a great opportunity to use your data expertise, analytical mindset, and cross-functional collaboration skills to optimize how our Operations team works and drives impact.

About the Role

The Operations organization at Kikoff handles diverse responsibilities, including customer support, fraud prevention, prioritizing customer feedback, and collaborating with Product and Engineering teams. As the first Operations Data Analyst, you’ll report directly to the Operations team while receiving mentorship from the Data team. You’ll tackle high-impact projects that blend data analysis with strategic thinking to enhance our operations.

What You’ll Do
Your key responsibilities will include projects such as:

Forecasting Workforce Needs: Use data to ensure we understand resource and staffing needs to meet customer demands.

Improving Customer Experience: Investigate and analyze customer issues and unhappy paths. Identify trends and actionable solutions, and develop business cases to prioritize effectively.

Enhancing AI Chatbot Performance: Pull and analyze data from AI-powered chatbot conversations to improve outcomes.

Empowering the Team: Support teammates by automating analyses and writing SQL queries to evaluate the effectiveness of operations strategies and decisions.

Strengthening Fraud Prevention: Develop data-driven methods to enhance fraud detection and prevention strategies.

This role offers significant growth potential, with opportunities to take on new responsibilities or evolve into more advanced roles as the team grows, depending on your skills and interests.

Requirements

Qualifications

2+ years of experience in a Data Analyst, Data Scientist, or similar role

Fluent in SQL

Proficient in statistics and probability

Proficient in Excel or Google Sheets

Excellent communication skills—you can translate complex data into clear, actionable insights

Business acumen and ability to adapt recommendations to diverse objectives

Proven ability to work on multiple projects and navigate ambiguous situations with multiple stakeholders

What we offer

Why Kikoff:

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We are backed by some of Silicon Valley’s top VCs, including GGV capital, Lightspeed Ventures, Female Founders Fund, and others. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.

🏥 Medical, dental, and vision coverage - Kikoff covers the full cost of health insurance for the employee!

📈 Stock Options

🏝 Flexible vacation policy to help you recharge

💰US salary range for this full-time position consists of base + equity + benefits

Our salary ranges are determined by role and experience: $110,000–$160,000 + equity

Apply now
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