Frederick Fox

At a glance: A senior, hands-on analyst who sits with business leaders, does the analysis personally, and uses AI tools every day to move faster. Lead Data AnalystCompany: Confidential: a tech-enabled residential real estate companyLocation: Hybrid, Alpharetta, GAReports to: Senior executive over Product, Data &amp; Applied AICompensation: Base starting around $140,000, plus annual bonusSearch: Confidential, managed exclusively by Frederick Fox The opportunityOur client is an established, fast-growing residential real estate company in metro Atlanta that relies on data to price homes, run its operations, and serve homeowners at scale. Its product, data, and applied AI group is growing, and this role is a key early hire.This is not a dashboard-maintenance job. You will be the analyst senior leaders call when they need a real answer. You will frame the question, pull and model the data yourself, and present a clear recommendation. You will report directly to the executive who leads product, data, and AI, and you will have a big say in how analytics works across the business. What you'll do<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Partner with business leaders. Work directly with leaders in operations, acquisitions, sales, marketing, and finance. Turn loosely defined business problems into clear questions you can answer with data.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Do the analysis yourself. Write the SQL, build the models in Python, check the results, and own the work from the first query to the final recommendation.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Drive decisions. Turn findings into concise recommendations that executives act on. Say plainly what the data shows, what it doesn't, and what you would do.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Use AI tools every day. Use tools such as ChatGPT, Claude, Copilot, or Cursor to speed up queries, code, exploration, and write-ups. Help the team find practical ways to work faster.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Set the standard for analytics. Define key business metrics, improve data quality, and bring structure to how the business measures performance.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Raise the bar for others. Review work, share methods, and serve as the go-to analyst for less experienced team members and business users.</li>
</ul>What you bring<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Strong business judgment first. You know which questions matter, which numbers look wrong, and when an answer is good enough to act on.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
7+ years in analytics, including a track record as the lead analyst on high-stakes business problems.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Advanced SQL. You write complex queries yourself and are comfortable working with large, imperfect datasets.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Solid Python for analysis and modeling, using tools such as pandas, NumPy, and Jupyter.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Daily, hands-on use of AI tools in your own work, with examples of how they made you faster or better.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Clear communication with senior leaders, in writing and in person. You can explain a complex analysis in a few sentences.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Ownership. You take a problem from a vague request to a finished recommendation with little hand-holding.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Bachelor's degree in a quantitative field such as economics, statistics, math, engineering, or finance, or equivalent experience.</li>
</ul> Nice to have<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience in residential real estate, proptech, lending, insurance, or another business built around transactions or operations</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with pricing, forecasting, funnel or conversion analysis, or unit economics</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Familiarity with a modern cloud data stack such as Snowflake, BigQuery, Databricks, or dbt</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with BI tools such as Tableau, Power BI, or Looker</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience building with LLM APIs or automating analytical workflows with AI</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience at a growth-stage company where analytics was being built out</li>
</ul> Compensation, location, and how to apply<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Compensation: Base salary starting around $140,000, plus an annual bonus. The final offer depends on experience.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Location: Hybrid, based in Alpharetta, GA. Candidates must live within commuting distance or be willing to relocate.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Confidentiality: Frederick Fox is managing this search exclusively and confidentially. We share the client's name with qualified candidates after a first conversation.</li>
</ul>

At a glance: A senior, hands-on analyst who sits with business
leaders, does the analysis personally, and uses AI tools every
day to move faster.

Lead Data Analyst

Company: Confidential: a tech-enabled residential real estate
company

Location: Hybrid, Alpharetta, GA

Reports to: Senior executive over Product, Data & Applied AI

Compensation: Base starting around $140,000, plus annual bonus

Search: Confidential, managed exclusively by Frederick Fox

The opportunity

Our client is an established, fast-growing residential real
estate company in metro Atlanta that relies on data to price
homes, run its operations, and serve homeowners at scale. Its
product, data, and applied AI group is growing, and this role is
a key early hire.

This is not a dashboard-maintenance job. You will be the analyst
senior leaders call when they need a real answer. You will frame
the question, pull and model the data yourself, and present a
clear recommendation. You will report directly to the executive
who leads product, data, and AI, and you will have a big say in
how analytics works across the business.

What you'll do

* Partner with business leaders. Work directly with leaders in
operations, acquisitions, sales, marketing, and finance. Turn
loosely defined business problems into clear questions you can
answer with data.
* Do the analysis yourself. Write the SQL, build the models in
Python, check the results, and own the work from the first query
to the final recommendation.
* Drive decisions. Turn findings into concise recommendations
that executives act on. Say plainly what the data shows, what it
doesn't, and what you would do.
* Use AI tools every day. Use tools such as ChatGPT, Claude,
Copilot, or Cursor to speed up queries, code, exploration, and
write-ups. Help the team find practical ways to work faster.
* Set the standard for analytics. Define key business metrics,
improve data quality, and bring structure to how the business
measures performance.
* Raise the bar for others. Review work, share methods, and serve
as the go-to analyst for less experienced team members and
business users.
What you bring

* Strong business judgment first. You know which questions
matter, which numbers look wrong, and when an answer is good
enough to act on.
* 7+ years in analytics, including a track record as the lead
analyst on high-stakes business problems.
* Advanced SQL. You write complex queries yourself and are
comfortable working with large, imperfect datasets.
* Solid Python for analysis and modeling, using tools such as
pandas, NumPy, and Jupyter.
* Daily, hands-on use of AI tools in your own work, with examples
of how they made you faster or better.
* Clear communication with senior leaders, in writing and in
person. You can explain a complex analysis in a few sentences.
* Ownership. You take a problem from a vague request to a
finished recommendation with little hand-holding.
* Bachelor's degree in a quantitative field such as economics,
statistics, math, engineering, or finance, or equivalent
experience.

Nice to have

* Experience in residential real estate, proptech, lending,
insurance, or another business built around transactions or
operations
* Experience with pricing, forecasting, funnel or conversion
analysis, or unit economics
* Familiarity with a modern cloud data stack such as Snowflake,
BigQuery, Databricks, or dbt
* Experience with BI tools such as Tableau, Power BI, or Looker
* Experience building with LLM APIs or automating analytical
workflows with AI
* Experience at a growth-stage company where analytics was being
built out

Compensation, location, and how to apply

* Compensation: Base salary starting around $140,000, plus an
annual bonus. The final offer depends on experience.
* Location: Hybrid, based in Alpharetta, GA. Candidates must live
within commuting distance or be willing to relocate.
* Confidentiality: Frederick Fox is managing this search
exclusively and confidentially. We share the client's name with
qualified candidates after a first conversation.

Lead Data Analyst

About the role

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