OptimHire | Hiring | Business Analyst- USA Remote | United States | BigDataKB.com | 2022-09-28

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Job Location: United States

The Business Analyst will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on the marketing, product, and revenue strategy of Lendistry. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R, surface insights using math/statistics/Tableau techniques, and measure the business impact using efficiency/conversion/profit metrics.

 

GENERAL RESPONSIBILITIES:

The Business analyst will support the business and sales department by leveraging big data technologies to aggregate and structure data and perform reporting BI, and statistical analysis.

  • Perform data discovery, analysis, and modeling
  • Create reports, dashboards, and visualizations to understand business performance
  • Analyze process issues and bottlenecks to aid business decision-making
  • Communicate and validate requirements with relevant stakeholders
  • Integrate business insight to Identify specific business opportunities
  • Assist with project management for selected projects
  • Collaborates with project stakeholders to better understand valuable objectives and KPIs and to design relevant reports and dashboards to produce better business outcomes
  • Write clear and well-structured business requirements/documents

 

PROFICIENCIES:

  • Excellent verbal and written communication skills.
  • Strong knowledge of 1 or more scripting and programming languages (Python/R/SQL, etc.)
  • Expert in Tableau
  • Experience in the Data ETL process is a plus
  • Sophisticated word processing and computer database skills, especially in Microsoft Word, PowerPoint, and Excel.
  • Ability to think creatively and innovatively.
  • Good interpersonal skills with the ability to work effectively with individuals and groups at all organizational levels, and the ability to work independently and as part of a team.

 

Education and Experience:

  • BS/MS degree in a business/quantitative field: finance, engineering, math, statistics, etc.
  • 5+ years of experience in data, analytics, and predictive modeling, preferably in the financial services industry

Apply Here

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