Senior Data Analyst - Revenue

We're TeeTurtle, a consumer products company that creates nerdy toys, games, apparel, and accessories. We are passionate about creating products that allow our fans to express themselves and share meaningful experiences, and we’re excited to continue expanding our team!

Position Description

The goal of the Senior Data Analyst - Revenue is to gather data from a variety of sources, organize and distribute findings, and provide insights that improve sales and marketing functions. Through an understanding of sales, marketing, and finance data and metrics and their impacts on each other, they are able to calculate sales forecasts, identify trends and opportunities and leverage data to provide business insights that inform strategic decision-making. In addition to the accountabilities listed below, other projects and duties may be assigned.

Primary Accountabilities

• Forecasting
  • Lead and support forecasting and modeling initiatives to drive forecast accuracy and support data-driven decision-making
  • Leverage predictive analytics to forecast trends, shifts, opportunities, and challenges to deliver business insights that support critical decision-making
  • Stay up-to-date on tools and best practices and identify opportunities to leverage cutting-edge technologies and practices to improve forecasting and analytics
  • Create and manage forecasts for new product introductions, predict demand, and guide inventory and marketing strategies to support successful product launches
  • Partner with the operations team to assemble and provide monthly outbound volume forecasts for each sales channel for the 3PL partner to allow for maximum adherence to Service Level Agreements (SLAs)
• **Reporting & Dashboards
  • Translate business inquiries into data analysis plans to extract, analyze, consolidate, report, and deliver answers to stakeholders
  • Lead the design and development of dashboards to track metrics and KPIs that meet the needs of stakeholders to supply up-to-date and accurate data tracking tools across the organization
  • Collaborate with sales, marketing, and finance teams to gather and curate data for analysis and develop data visualization to manage high-volume data source to facilitate ease of access and understanding
  • Generate and present regular and ad-hoc reports on sales performance, inventory levels, forecasting accuracy, and other key business metrics
• **Performance Tracking and Sharing Insights
  • Develop and maintain a robust reporting framework to track and monitor sales and marketing performance
  • Utilize data insights to make recommendations that support data-driven decision-making and drive revenue, marketing, and profitability goals
  • Analyze digital marketing campaigns across relevant sales channels, including social media, search engine marketing (SEM), email marketing, and display advertising and make optimization recommendations
  • Measure and report on sales and marketing key performance indicators (KPIs) to support tracking and achieving goals
  • Utilize data analytics tools and techniques to gain and disseminate insights into customer behavior, preferences, and purchase patterns
• Continuous Improvement and Optimization
  • Work with the Business Intelligence team to identify data gaps and enable reporting for the Sales department to measure and improve performance
  • Coordinate with the Sales team to identify areas for process improvement by leveraging data
  • Stay up-to-date with the latest digital marketing trends, tools and technologies in order to make recommendations for implementations that enhance reporting capabilities

Requirements

Skills & Competencies

• Communication: Communicates information clearly and concisely; listens actively; adapts communication style to audience; presents clearly through spoken word; effectively communicates content through multiple mediums; develops effective communication plans for departmental functions; employs effective strategies to resolve conflict

• Problem-Solving: Proactively identifies opportunities for process improvements and recommends/implements actionable solutions; identifies problems effectively; identifies creative solutions that offer long-term resolutions; identifies root causes of problems and looks for corrective solutions

• Analytical & Critical Thinking: Recognizes gaps in concepts and processes, and actively seeks out information to fill those gaps; looks for efficiencies and workflow optimization across departmental functions; develops plans that derive from multiple sources of information

• Sound Decision-Making: Readily distinguishes between what is relevant and unimportant to make sense of complex situations; considers and weighs multiple options based on cost, risk, and value before making decisions

• Collaboration: Recognizes communication and collaboration pain points within the department and finds ways to improve collaboration

• Execution: Designs, assesses, and implements effective plans that ensure successful outcomes across departmental functions; balances time and priorities across departmental functions; supports team to minimize mistakes and delays

• Delivering to Stakeholders: Understands stakeholders' goals; tailors work to achieve goals and drive results; knows when to ask questions to seek and maintain alignment; identifies appropriate solutions and recommendations and develops creative solutions when obvious ones are not available to achieve stakeholders' goals

• Optimization: Identifies redundancies, unnecessary or outdated processes, and fine-tunes work to achieve departmental and organizational objectives and strategy

Qualifications

• Bachelor’s degree in Computer Science, Information Management, Mathematics, Engineering, Economics, Finance, or a comparable quantitative discipline

• 3-5 years of relevant experience in analytics-related work, using BI tools like Power BI or Tableau

• Ability to present data in a visually compelling format to help business stakeholders understand the issues, possibilities, and recommendations

• SQL (expert/master); excel/sheets (master); visualization tools (Power BI, ex) (proficient/expert); Python (preferred); R (preferred)

• Experience with forecasting methods such as time series analysis, regression models, and machine learning algorithms

• Proficiency in statistical software and forecasting tools (e.g., R, JMP, SAS, or other advanced analytics platforms)

• Commitment to Diversity, Equity, and Inclusion

• Ability to travel (estimated 1-3 times per year)

• U.S. Residency

Compensation and Benefits

The salary range for this position is $90,000 - $120,000 + up to 15% bonus eligibility.

We also offer:

• Generous PTO policy to provide flexibility, work-life balance, and time to celebrate what is important to you
• 401(k) with a company match
• Medical, dental, and vision coverage options for employee, spouse or domestic partner, and dependent children
• Employee Assistance Program, including three free sessions with a licensed behavioral health provider for all employees enrolled in TeeTurtle's medical plan
• 75% employee discount and free shipping on TeeTurtle.com and UnstableGames.com
• Potential for training and professional development opportunities
• A creative and fast-paced work environment
• A culture of integrity, compassion, curiosity, and calmness

The Hiring Process
We require you to submit the following to consider your application:

• Resume
• Answers to all required application questions
• The final 3 application questions can be addressed in the application section or in a cover letter:

  • Speak to the required/preferred qualifications

  • Briefly summarize how your experience with making data-driven recommendations to business teams to influence forecasts or sales will translate to success in this role

  • If applicable, address any gaps or frequent changes in employment

If selected to move forward after an initial application review, candidates can expect the following stages:

• Stage 1: Participate in a video screening via Google Meet

• Stage 2: Complete a hiring exercise/skills assessment

• Stage 3: Participate in a final interview with a panel via Google Meet

TeeTurtle provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, or any other protected status in accordance with applicable federal, state and local laws. TeeTurtle complies with applicable state and local laws governing nondiscrimination in employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. If we can offer reasonable accommodations to you in the application or interview processes, or if you have feedback on how we could improve the equity or accessibility of our recruitment, you are welcome to contact us at careers@teeturtle.com with the subject line “Accommodation Request - Name of Position”. Please note that we cannot respond to general status inquiries or other messages unrelated to accessing our application or interview processes.