Data Analyst

4 days ago


Chennai, Tamil Nadu, India BSRI Solutions Full time

Job Title: Data Analyst

Job Summary:

BSRI Solutions is seeking a skilled Data Analyst to join our team. As a Data Analyst, you will be responsible for defining requirements, gathering and analyzing data, interpreting results and findings, and recommending solutions through analysis, modeling, and visualizations.

Responsibilities:

  • Develop and evolve processes and analytic approaches to improve team capabilities; contribute to team strategic road map and priorities.
  • Build and maintain strong partnerships with analytic, business, reporting, and data teams; serve as a subject matter expert related to relevant tools, data stores, and business products and services.
  • Maintain awareness of key CCB initiatives, issues, trends and changes impacting consumers and Chase.
  • Adhere to firmwide and team documentation and control standards.
  • Perform with limited direction, manage project work and timelines of varying complexity, perform analysis, create reports, and communicate insights as demonstrated in prior roles.

Requirements:

  • 2 years of practical analytic experience that includes: requirements gathering, analysis/experiment design, execution, assessment, authoring, and publishing of results.
  • Advanced knowledge and proficiency with analytic tools, data analysis methodologies (both descriptive and predictive), and database querying.
  • Data wrangling expertise with one or more commonly used firmwide tools.
  • Excellent critical thinking skills and abilities analyzing vast amounts of data into meaningful observations and insights.
  • Strong written communication, and presentation skills.
  • Current user of Tableau, Alteryx, SQL or related tools with experience in data mining, descriptive and predictive statistics, and principles of data visualization.
  • Lifelong focus on learning with a strong aptitude for technical subjects, new approaches and methods, and staying current.

Preferred Qualifications:

  • Bachelor's degree in Analytics, Statistics, Computer Science, Business, Math, Engineering, or technical field with prior experience analyzing structured and unstructured consumer data.
  • Advanced skills with Excel and PowerPoint; strong presentation skills with experience converting complex analysis into effective presentation for mixed audiences.
  • Comprehensive knowledge of business operations, objectives, strategies, process and information flow.


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