Freedom Financial Network

Salem, Oregon, United States

Sr. Staff Data Analyst (Marketing Direct Mail)

Posted over 1 month ago

Job Description

WHO WE ARE:

Voted one of the Top 100 Fastest Growing Companies in the Bay Area for 2020, Freedom Financial Network is a family of companies that takes a people-first approach to financial services, using technology to empower consumers to overcome debt and create a brighter financial future. The company was founded in 2002 by Brad Stroh and Andrew Housser on the belief that by staying committed to helping people, you can ensure better financial outcomes for both the customer and the business. This Heart + $ philosophy still guides the vision of our growing company, which has helped millions of people find solutions for their financial needs.

What began with 2 people in a spare bedroom has now rapidly expanded to a vibrant business that employs over 2500 employees (known internally as The Freedom Family) in two locations: San Mateo, CA and Tempe, AZ. When you visit either of our offices, youll understand why our employees have voted us the Best Place to Work for the last several years. Its a place where the Heart + $ philosophy continues to thrive, where we believe that success is only achieved by doing whats right for our customers, our employees, and our communities.

In order to create brighter futures for our clients, employees, and businesses, Freedom Financial Network holds itself to four core values that have grown out of our Heart + $ philosophy: to care for everyone around us, act with integrity every time, collaborate with everybody we work with, and get better at what we do every day.

THE OPPORTUNITY:

We are looking for a Sr. Staff Data Analyst / Sr. Marketing Analytics Manager who will be responsible for all analytic aspects of Direct Mail channel. In this role, you will be involved in campaign execution (targeting and optimization) and campaign analytics (validation, forecasting and recommendation). You will also collaborate with team members in assessing and developing new analytic opportunities within the broader analytics organization.

THE ROLE:

  • Conduct large scale analyses, with ownership through all stages: understand business goals and strategies, formulate the analytic approach, perform data extraction, exploration, and transformation, and translate results into actional items for the business team.
  • Leverage deep hands-on technical skills to produce analyses in various topics including, but not limited to, customer segmentation, campaign performance, marketing attribution and return on investment/ad spend.
  • Closely work with business partners on Direct Mail (DM) initiatives to ensure successful execution of campaigns.
    • Analyze DM campaign results to inform future targeting and optimization decisions
    • Iterate scoring model and perform model validation to be implemented on DM campaigns
    • Perform data operations necessary to execute campaigns
    • Develop methodologies to analyze, understand, and quantify trade-offs in marketing decision making
  • Interact with multiple functional teams across the organization to identify potential issues, implement solutions, improve throughput, and automate recurring processes.
  • Collaborate with Advanced Analytics, Data Science, and Data Engineering teams to implement predictive models into various stages of marketing funnels, particularly in adapting modern analytics techniques to offline marketing channels such as direct mail and linear television.

REQUIREMENTS/CHARACTERISTICS:

  • 8+ years of hands-on analytic experience in the financial services industry with focus in Direct Mail
  • Hands-on experience in SQL, Python, Excel, and Tableau
  • Strong understanding on how data should be captured, stored and structured in data warehousing environment
  • Experience with data analytics and statistical modeling concepts such as multivariate regression, segmentation modeling, machine learning, data mining, simulation, optimization, and forecasting is a plus
  • An effective cross functional communicator in both written and verbal skills
  • Ability and willingness to learn in a fast-paced environment and adapt to various situation
  • Bachelors degree in a quantitative field such as Mathematics, Statistics, Computer Science, Econometrics or equivalent

CULTURAL FIT (Our Core Values):

Care (for everyone): We show compassion and contribute to the well-being and growth of those around us. We only pursue products that improve the financial lives of our clients.

  • Act with Integrity (every time): We take the right action even when it is hard and even when no one is watching. We treat our employees, clients, and communities the way they wish to be treated.
  • Get Better (every day): We innovate, iterate, and improve each day. We are creative, take thoughtful risks, and ultimately learn and recover from failures.
  • COLLABORATE (with everybody): We strive to work together toward a common purpose by proactively sharing information and inviting participation. We recognize the perspective of various groups and embrace healthy, constructive debate.

WHY JOIN THE FREEDOM FAMILY?

  • Fast, continued growth theres a lot of opportunity for advancement
  • Voted a Best Place to Work multiple times by our employees
  • Benefits start within 30 days
  • 401k with employer match
  • 3 weeks paid vacation (increased with tenure)
  • 9 paid holidays & 5 sick days
  • Paid time off for volunteer work and on your birthday

This is your opportunity to be part of a growing company where dedicated professionals strive to help customers and each other succeed every day. If that sounds exciting, we want to talk to you. Apply today!

Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Freedom Financial Network (FFN) to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by FFNs Talent Acquisition leader.

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