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Analytics Consultant 4 (Senior Data Analyst) - Financial Services

Location : Charlotte, NC 28202
Job Type : Temp/Contract to Direct
Reference Code : MananPatel-4CAFW
Compensation : open - Negotiable
Hours : Full Time
Required Years of Experience : 6 to 8+
Required Education : 4+
Travel : No
Relocation : No
Industry : Banking - Financial Services

Job Description :


This job is for Senior Analyst and if you:

  • Can synthesize data and provide recommendations on your analysis

  • Can provide polished output (data visualization / excellent presentation) for executive leadership 

  • Can envision new KPI / Metrics / Measurements; connect the dots / trends / patterns / etc.; articulate and execute this vision; 

  • Can develop greater insights from data, and build visulaizations that displays health and performance of the business

  • Comfortable working with new areas

  • Like to analyze performance across all line of work

  • Create standardize KPI / metrics / measurements for the specified problems

  • Comfortable working with new areas

  • Consider yourself perfectionist / or accurate at work

  • Develop short concise summary or reports in story or executive readouts format(s)

  • Think outside the box about "what is", "what could be", articulate this vision and present it critically.

  • Can work independently

  • Are creative 

  • Understand the problem, overcome roadblocks and enjoy resolving problems


Responsibilities may include, but not limited to:  


    • Design and drive projects / analysis

    • Work with internal clients, various different personalities, lines of businesses, products, functional and technical areas

    • Provide insights, develop analytical strategies, Build interactive dashboards, Perform analytical support and/or modeling

    • Be creative with data driven applications, perform data analysis, and/or understand data trends

    • Define gaps within analytical areas, develop business requirements (understand problem and develop solution)

    • Determine the details of the data source

    • Design reports and / or analysis of these data

    • Translate these business needs into actionable insights

    • Help technology team when you find an issue to enhance the existing databases

    • Synthesize data and develop / form a story

    • Align data for contrast and compare with industry data

    • Work with very large data, structured / unstructured, perfect or imperfect, and multiple sources

Required Qualifications :

Required Qualifications

  • 6 to 8+ years of experience in one or a combination of the following: 

  • reporting, analytics, or modeling; 

  • or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, 

  • or business/social and behavioral sciences with a quantitative emphasis and 4+ years of experience in one 

  • or a combination of the following: reporting, analytics, or modeling

Desired Qualifications

  • Extensive knowledge and understanding of research and analysis

  • Excellent verbal, written, and interpersonal communication skills

  • Strong analytical skills with high attention to detail and accuracy

  • SAS experience

  • SQL experience

  • Tableau experience

  • Strong research and problem solving abilities are required

  • Strong desire and ability to creatively solve problems and strong prioritization skills

  • Creativity and open to new ways to represent data in graphs/tables/pictures to deliver the best insights

  • Experience with Experience with statistical tools like R, Mattlab, Hive, Python, etc

    • Salesforce capabilities and CRM data and measurement

    • Visualization and BI tools, with a keen ability to tell a visual data story (Tableau, PowerBI, QlikView, Spotfire etc.)

  • Ability to identify in efficiencies and opportunities to improve the process


  • Experience with Salesforce capabilities and CRM data and measurement

  • Prior experience working with Wholesale Businesses (relationship groups, treasury management, credit, product groups, etc.)

  • Understanding of Wholesale Relationship structures and data


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