Data Analyst

Location: Leawood, KS
Date Posted: 11-07-2017
Data Analyst
 
Full Time/Direct-Hire
 
Location:  Leawood, KS
 
Compensation:  open commensurate on experience  (401k + match, Health Insurance, Life Insurance, Disability)

Summary:
Our client developed an online, automated tool that manages individual’s employer-sponsored retirement accounts (401k, 403b or 457).  Customers have a partner they can count on to optimize their portfolio by reducing hidden fees, aligning their stock/bond mix to their retirement horizon and navigating the emotional journey towards retirement.

Responsibilities:
  • Will identify patterns/trends that lead a particular strategy or quickly pivot in a new direction.  Will be the first person with answers for customers and the last person the customer meets with before making a decision. 
  • Reports/dashboards will be consumed daily and be the basis of how the business is run.
  • Will make an impact from proactive observations and from requests from others. 
  • Efforts must focus on only the most impactful initiatives. 
  • Responsible for analysis and identifying opportunities to improve and ensure goals are met.
  • Take ownership over recurring reporting packages (daily, weekly, monthly) to inform executive team and execute ad hoc investigations as needed
  • Work closely with management to prioritize business initiatives and information needs
  • Proactively advocate for process improvements and business priorities based on a data-driven impact case
  • Interpret data, analyze results using statistical techniques (as appropriate) to project future outcomes across the business
  • Develop and implement data collection systems and strategies that optimize efficiency, data quality and ease of access
  • Acquire data from primary or secondary data sources and maintain consolidation processes to support specific initiatives
  • Support marketing team by owning response modeling and projection of life time customer value based on leading indicators and historical data
  • Support product team prioritization with detailed impact analysis, test structure and results reporting
 
Requirements:
  • At least 2+ years of analyst experience in a professional environment, preferably a startup or high growth company
  • Bachelor's degree in Mathematics, Economics, Statistics, Information Science or similar background
  • Technical expertise working with data models, database design development, data mining and segmentation techniques
  • Knowledge of statistics
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