Ascensus

Senior Data Analytics Translator

Ascensus

full-time

Posted on:

Location Type: Office

Location: Dresher • Massachusetts • Pennsylvania • United States

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Job Level

Senior

About the role

  • Use Case Ownership & Lead: Own portfolio of related use cases in partnership with senior leaders.
  • Initial responsibilities to accelerate Retirement marketing analytics and growth.
  • Partner with stakeholders to identify, prioritize, and define high-value problems that can be solved using AI and advanced analytics.
  • Convert business goals into technical requirements for data scientists and engineers, ensuring the analytics deliverables drive solutions to the core business problem.
  • Guide the technical work to optimize impact on business problems.
  • Synthesize complex model results into clear, actionable recommendations for non-technical stakeholders through compelling data storytelling.
  • Effectively right size communication content to varying stakeholders from all levels of leadership.
  • Optimize use of AI and other analytics tools to improve reporting and communications that best inform.
  • Use BI tools to turn raw technical outputs into executive-level narratives.
  • Maintain familiarity with external research and benchmarks, qualitative research and analytics deliverables beyond the specific project to consider and coalesce relevant insights into the data story and recommendations.

Requirements

  • Domain Expertise: Deep knowledge of retirement industry and critical metrics (e.g., distribution, sales, revenue, customer retention) and how they impact the company’s profit and loss.
  • If not retirement, an adjacent financial industry with proven success incorporating data insights in growth initiatives.
  • Technical Fluency: A strong understanding of quantitative analytics, including the ability to identify which business problems fit specific models, multi-variate testing and/or inclusion of qualitative analysis to help lead solutioning and execution to results.
  • Excellent analytical skills.
  • Project Management: Proficiency in data science analytics cycle management and agile frameworks that benefit a full feedback loop.
  • Relationship building and influence: Ability to handle more complex organizational politics and cross-functional conflicts.
  • Exceptional stakeholder management to build trust, influence solutions and ensure continued progress to achieve goals.
  • Communication: Excellent oral and written communication skills providing examples of how data visualization and storytelling were used to inform resulting in actionable decisions and valuable outcomes.
  • Education: A bachelor's or master's degree in a STEM field (Statistics, Mathematics, Computer Science) or Business with a heavy focus on data literacy.
  • 5+ years of relevant experience in an analytics translator role or related experience.
  • Experience must include projects that span multiple departments frequently presenting to VP and executive level leadership.
  • Tools and technology experience necessary for role Business Intelligence and visualization tools ideally with Microsoft solutions; or transferrable experience with other tools AI-Powered decision support and efficiency.
Benefits
  • This position is expected to identify thematic issues and opportunities across projects, bringing insights from other projects to benefit current project goals.
  • Ensure defined success metrics align with business goals.
  • Drive optimal business decisions by providing quantitative and qualitative data analysis, forecasts, propensity observations, predictions, insights and trends to decision makers.
  • Be a proponent of personalization and other tactics to optimize outcomes incorporating new technologies and methods in actions.
  • Manage the analytics life cycle for assigned projects and programs from ideation to production, including tracking KPIs to validate the business impact of data solutions.
  • Own timeline and deliverables of the projects undertaken with focus on stakeholder satisfaction, success metrics and on time delivery.
  • Ensure technical associates stay aligned with business goals in their efforts.
  • Assist with project definition and planning.
  • Rely on a multi-layered tech stack that balances deep data exploration with high-level business communication and effective project oversight.
  • Drive organizational adoption of analytical tools.
  • Foster a data-driven culture by educating users on how to interpret and execute on insights.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
quantitative analyticsmulti-variate testingdata storytellingdata visualizationdata science analytics cycle managementagile frameworksAIadvanced analyticsbusiness intelligencetechnical requirements
Soft Skills
relationship buildinginfluencestakeholder managementcommunicationanalytical skillsproject managementorganizational politicscross-functional conflict resolutiontrust buildingactionable decision making