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Lead Business Analyst

2 months ago

San Francisco, California, United States First Citizens Bank Full time

Overview: This position entails a hybrid work model, requiring a blend of office and remote engagement. The role is pivotal in conducting analyses that involve intricate data interpretation and high-level complexity.

The incumbent will evaluate a broad spectrum of elements that influence business profitability, expansion, and operational efficiency, while also supporting strategic initiatives aimed at resolving identified challenges.

Key Responsibilities:

  • Conduct thorough assessments of current methodologies, gather pertinent information, and analyze industry trends to formulate specifications that bolster business objectives.
  • Drive the development and execution of process enhancements.
  • Engage in specialized analytical projects and advanced reporting tasks.
  • May assume a leadership role within the team, leveraging expertise in the relevant domain.

Job Summary:

As a Senior Business Analyst, you will be tasked with high-level analytical responsibilities, translating complex business inquiries into actionable analytical projects. You will collaborate with internal subject matter experts (SMEs) to construct analytical solutions and deliver insights to stakeholders regarding feature utilization, product effectiveness, customer satisfaction, and other vital metrics.

Your role will involve designing and implementing solutions, including data sourcing, dashboard creation, proprietary modeling, and visualization techniques, tailored to meet the organization's requirements. The ability to simplify complex issues for diverse audiences is essential.

Duties & Responsibilities:

Identifying Business Objectives:

  • Capture and comprehend end-user requirements effectively.
  • Utilize tools such as data mapping documents and project plans to communicate stakeholder needs and timelines.
  • Employ appropriate prioritization frameworks to manage stakeholder expectations.

Data Analysis:

  • Understand the data lifecycle within the digital product ecosystem, collaborating with cross-functional teams to identify suitable data sources and definitions.
  • Perform advanced data analysis, clearly communicating key insights derived from the analysis.
  • Address business inquiries from various stakeholders and assist product teams in making informed, data-driven decisions.
  • Adhere to data security and governance protocols while managing and sharing data insights.

Building Data Analytics Pipelines:

  • Design and implement ELTL workflows for scalable and automated solutions.
  • Create data analytics pipelines, incorporating quality checks, exploratory analysis, and access controls, while collaborating with enterprise analytics teams for production deployment.
  • Develop innovative analytical workflows and modeling techniques that leverage data assets, identifying optimal data insight tools, including advanced analytics and data science models.
  • Manage the design, construction, and delivery of new analytical solutions pragmatically, evaluating multiple options.

Reporting and Insights:

  • Translate stakeholder requirements into tailored analytical solutions, presenting insights through reports, dashboards, and visualizations.
  • Utilize tools such as Tableau, Power BI, and Essbase to create high-performing analytical dashboards.
  • Maintain the dashboard repository and minimize redundant solutions by collaborating with cross-functional analytics teams.
  • Contribute to the establishment of standards and best practices within the analytics organization.

Qualifications:

Basic Qualifications:

  • Bachelor's Degree with 6 years of experience in analytics, modeling, or reporting, or a High School Diploma with 10 years of relevant experience.

Preferred Qualifications:

  • Experience with data analytics and visualization tools (e.g., Tableau, Power BI).
  • Advanced Excel skills (e.g., pivot tables, VLOOKUP).
  • Proficiency in data wrangling and automation tools (e.g., SQL, Alteryx).
  • Familiarity with statistical software or coding languages (e.g., Python, R).
  • Demonstrated ability to create custom solutions addressing business challenges.
  • Experience in presenting reports and insights effectively.
  • Willingness to learn and adapt with a proactive attitude.

Education: A Master's degree is advantageous.

This role offers a competitive compensation package, including potential variable incentives and benefits tailored to support associates in various life stages.