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Lead Business Analyst

2 months ago

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

Overview: This role operates in a hybrid environment, balancing time between remote work and office presence. The individual will engage in high-level analysis requiring advanced data proficiency.

This position entails evaluating a broad range of elements influencing business profitability, expansion, and operational efficiency, while supporting strategic initiatives to tackle identified challenges.

The role involves assessing existing methodologies, gathering insights on industry trends, and formulating specifications to bolster business objectives. Additionally, the individual will spearhead process enhancements and contribute to specialized analytical projects and sophisticated reporting.

Key Responsibilities:

The Digital Analytics division is part of the Global Digital Services product organization at First Citizens Bank. We are committed to developing a robust analytics team that delivers timely and actionable insights to product managers, enabling them to understand digital user behavior, uncover opportunities, optimize user experiences, and create a premier digital platform.

Position Summary:

As a Senior Business Analyst, you will engage in complex analysis and data interpretation. Your responsibilities will include translating business inquiries into analytical tasks, collaborating with internal subject matter experts, constructing analytical solutions, and delivering actionable insights to stakeholders regarding feature adoption, product performance, customer satisfaction, and other critical metrics.

You will also be involved in the design and implementation of solutions (e.g., data sourcing, dashboards, proprietary models, visualization techniques) to fulfill the organization's requirements. The ability to simplify complex issues into comprehensible terms is essential.

Duties & Responsibilities:

Identifying Business Objectives:

  • Capture and comprehend end-user requirements.
  • Utilize tools such as data mapping documents, specification templates, project plans, or JIRA to document and communicate stakeholder requirements and timelines.
  • Employ appropriate prioritization and scoping frameworks to manage stakeholder expectations.

Data Analysis:

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

Building Data Analytics Pipelines:

  • Design ELTL workflows for scalable and automated solutions.
  • Create data analytics pipelines, including quality checks, exploratory analysis, scheduling, alerts, access control, and collaboration with enterprise analytics technology teams for production deployment.
  • Develop and implement innovative analytical workflows and modeling strategies that leverage data assets, identifying optimal data insight tools, potentially including advanced analytics and data science models.
  • Manage the design, construction, and delivery of new analytical solutions with a pragmatic approach, evaluating multiple options.

Reporting and Insights:

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

Qualifications:

Basic Qualifications:

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

Preferred Qualifications:

  • Experience with data analytics and visualization tools (e.g., Tableau, Power BI, Qlik, Essbase).
  • Advanced Excel skills (e.g., pivot tables, VLOOKUP, Analysis ToolPak, macros/VBA).
  • Proficiency in data wrangling, workflows, and automation (e.g., SQL, Alteryx).
  • Familiarity with statistical software or coding languages (e.g., Python, R, SAS).
  • Experience in presenting reports, insights, and data analytics findings.
  • Willingness to learn and adapt with a proactive attitude.
  • Prior experience in digital product analytics is advantageous.

Preferred Education Level: A Master's degree is a plus.

Compensation: The base pay for this position varies based on skills, experience, and location. Total compensation may also include variable incentives, bonuses, and benefits.

Job Type: Full-Time

Categories: Corporate Support and Operations