Monetization Strategy and Analytics Associate, SMB

he sales team's performance. With your analytical acumen and consultative prowess, you will be an instrumental figure in realizing quantifiable improvements in organizational effectiveness.

Responsibilities:

• Conduct advanced data analysis to identify trends, patterns, and insights that inform strategic planning.
• Assist in the formulation of business cases and strategic recommendations based on quantitative analyses.
• Develop and maintain robust models for revenue forecasting, utilizing predictive analytics to assess future performance.
• Utilize statistical methods to conduct experiments and A/B testing, providing recommendations based on data-driven results.
• Design and implement data-driven approaches to measure and track key performance indicators (KPIs).
• Collaborate with cross-functional teams to perform scenario analysis and identify opportunities for growth and operational efficiency.
• Create interactive dashboards and visualizations to communicate analytical insights to stakeholders at all levels.
• Monitor industry trends and emerging analytics techniques to enhance data practices within the organization.

Qualifications

Minimum Qualifications:

• 3+ years of experience in a Strategy & Analytics or Data Science role, solving business problems through statistical methods and predictive analytics in complex, fast-moving, and ambiguous business environments
• Advanced analytical skills; ability to gather data and structure it in a meaningful way for analysis and modeling, create reports and influence decision making.
• Experience with programming language (e.g., Python), statistical software (e.g., R), database languages (e.g., SQL), and data visualization tools (e.g., Tableau)
• Excellent communication skills (written and verbal) to translate technical solutions and methodologies to leadership
• Experience in stakeholder-facing or client-facing roles (e.g. previous consulting role)

Preferred Qualifications:

• Strong problem solving and analysis skills, ability to solve complex and diverse business problems (commercial, operational, organizational) and synthesize findings into narratives for leadership
• Natural curiosity to dig deeper and identify the root cause of problems
• Knowledge of the digital advertising landscape and/or KPIs for mobile ads is preferred
• Is a self-starter and has the ability to work independently, multitask and adapt to changing priorities
• A passion for TikTok

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $93480 - $162978 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.