As a Data Scientist II, Marketing & Operations Analytics, you will be responsible for measuring, understanding and helping optimize the different marketing channels and sales operations at Coalition. You will use analytics, experimentation and statistical techniques (i.e. causal inference, Marketing Mix Model, etc) to help optimize our customer acquisition, and retention strategies across Web, Growth and Digital Demand. This role will also partner with our Sales Operations team to help guide them through mid-funnel actions that lead to downstream conversions. This role requires the ability to partner with the Head of Marketing, Head of Sales Ops,  and other key stakeholders to effectively communicate clear, actionable strategies across our company.

Responsibilities

  • Partner with cross-functional stakeholders using quantitative analysis and advanced data modeling to discover insights that will guide strategic decisions and uncover optimization opportunities
  • Contribute to conversations with leadership & make us more efficient with data-backed recommendations, tracking OKRs etc.
  • Ability to understand, measure, and empathize with the customer’s journey
  • Ability to use data to identify gaps/problems in our customer’s journey and propose potential solutions
  • Participate in the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key marketing & sales ops decisions
  • Provide knowledge of the sales cycle for mid-funnel engagements to provide analytics support and recommendations to the sales ops team to optimize performance and drive mid-funnel engagement and down-stream conversions.
  • Combine/Integrate new data sources and be able to put together new narratives based on the data
  • Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization

Requirements

  • A Bachelor’s degree in Statistics, Economics, Mathematics or related technical field
  • 3+ years of experience in related analytical, data science or consulting background
  • Demonstrated experience supporting partners in product, marketing, operations etc
  • Assist in developing, implementing, and refining core marketing core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentation
  • Proficient in SQL with proven competencies in designing data models, optimizing for query performance, and clearly documenting code
  • Programming skills in Python, R, or a similar programming language
  • Work in Tableau, Looker, or similar visualization / business intelligence platform
  • Strong communication skills and ability to convey complex topics to non-technical audiences
  • Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!

Bonus Points

  • Experience with operational tools and business systems such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, Outreach or Zuora a big plus
  • Experience in insurance, insurtech and fintech industries
  • Experience with DBT, Airflow or similar analytics workflow tools is a big plus
  • Understanding of and experience with experimental design, causal inference and advanced statistical methods

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $105,000/year in our lowest geographic market up to $158,400/year in our highest geographic market. Consistent with applicable laws, an employee’s pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.

Job Overview
Job alerts

Subscribe to our weekly job alerts below and never miss the latest jobs

Sign in

Sign Up

Forgotten Password

Job Quick Search

Cart

Basket

Share