What are the responsibilities and job description for the Data Analytics Associate position at Ascent Developer Solutions?

About Ascent

Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies.

The Role

Please note that experience in residential real estate, mortgage, or banking experience is required for consideration.

Our Data Analytics Associate will consult with various leaders in our business to track company / competitor performance, solve business problems using data, and influence our investments in data. They will also be responsible for mentoring junior analysts.

The Work

Company Performance and Analysis

Take the lead in preparing monthly strategy decks to measure performance against plan, monitor portfolio risk, and support various data requests from our capital partners
Identify new business opportunities through t racking competitor trends, laws, and regulations and keeping management aware of developer lending market trends and insights
Build and maintain various dashboards to run the business, and support the business with ad-hoc analyses
Assist in fostering a culture of test & learn within the company

Data

Gain full understanding of data that Ascent Developer Solutions acquires (Black Knight data, RE-distribute data, House Canary, John Burns, etc). Manage & enhance existing data pipelines, and own the logic for parent child entity mapping

Stay connected with the latest data sources in the market with an eye towards continuous improvement. Recommend strategies on how to leverage our data as an asset

Identify & quantify opportunities to deploy machine learning & AI. Assist in the development of such techniques

Lea der ship

Serve as analytics consultant to a broad variety of line-of-business teams

Partner with technology teams on product changes and impacts on data / performance

Mentor junior analysts on various data techniques

Your Skills and Experience

Analytics experience in residential real estate (SFR / MFR), mortgage, or banking required

Bachelor's degree in a quantitative field

3-5 years of experience in analytical or consulting roles

Strong analytical skills with knowledge of statistical techniques and hands-on experience in machine learning and data science

Proficient in SQL and Python

Strong experience with data visualization tools like power BI or Tableau

Exposure to data engineering skills

Strong communication and partnership skills, effective cross-department collaboration skills

Self-starter who can work under limited supervision

Mentoring skills to help develop junior analysts

The Pay

Salary range is $80,000-$90,000 per year, with eligibility for 15% bonus

The Work Environment

This role works on-site from Ascent"s Encino office, Monday - Thursday (Fridays are work-from-home).

Full-time, 40 hours per week; must be available for occasional overtime.

Some nights and weekends required.

Ascent's Benefits

We offer a comprehensive benefits package designed to support your health, well-being, and work-life balance. Our benefits include five health plans, four dental plans, health savings and flexible spending accounts, vision coverage, and other optional benefits to choose from.

Ascent's Pledge

We pledge to be fair and considerate in hiring and promoting individuals, ensuring everyone can contribute their fullest potential regardless of background, identity, or personal circumstances. By promoting equal opportunity, we not only enhance our workplace but also contribute to a more just and equitable society. At Ascent, we stand united in building a community where everyone is empowered to succeed. Thank you for joining us on our journey towards a more inclusive future.

The pay range for this role is :

80,000 - 90,000 USD per year(Los Angeles)

PI259237470

Salary : $80,000 - $90,000

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