Lead Business Analyst

1 week ago


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

This position operates in a hybrid environment, requiring a balance of time spent both in-office and remotely. The role demands high-level analytical skills and extensive data expertise. It involves assessing various factors that influence business profitability, growth, and operational efficiency, while supporting strategic initiatives to resolve identified challenges. The analyst will evaluate existing practices, gather information on industry trends, and develop specifications to bolster business objectives. This role also includes the development and implementation of process enhancements, participation in specialized analytical projects, and advanced technical reporting. Leadership within the work group may be provided through specialized knowledge.

Responsibilities

The Digital Analytics team is part of the Global Digital Services product organization at First Citizens. We are committed to establishing a reliable analytics team that delivers timely and actionable insights to product managers, aiding them in understanding digital user behavior, exploring opportunities, optimizing digital experiences, and empowering the creation of a premier digital platform.

Job Summary:
As a Senior Business Analyst, you will engage in complex data analysis and translate business inquiries into analytical tasks. Collaboration with internal subject matter experts (SMEs) is essential, as is the construction of analytical solutions that yield actionable insights related to feature adoption, product performance, customer satisfaction, and other critical metrics. You will also contribute to the design and delivery of solutions such as data sourcing, dashboards, proprietary models, and visualization techniques to fulfill organizational needs. The ability to simplify complex issues for clear communication is crucial.

Duties & Responsibilities:

Identifying Business Objectives

• Gather and comprehend end-user requirements.

• Utilize tools such as data mapping documents, specification templates, and project plans to effectively communicate stakeholder requirements and timelines.

• Apply appropriate prioritization and scoping frameworks to manage stakeholder expectations.

Data Analysis

• Grasp the data life cycle within the digital product ecosystem, collaborating with cross-functional teams in business and technology to pinpoint the correct data sources and definitions.

• Conduct 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 communicating data insights.

Building Data Analytics Pipelines

• Design ELTL workflows for scalable and automated solutions.

• Construct data analytics pipelines that include quality checks, exploratory analysis, scheduling, alerts, access control, and collaboration with enterprise analytics technology teams for production deployment.

• Innovate analytical workflows and modeling approaches that leverage data assets, identifying optimal data insight tools, potentially including advanced analytics and data science models.

Reporting and Insights

• Convert stakeholder requirements into tailored analytical solutions and present 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 collaborate with cross-functional analytics teams to minimize redundant solutions by understanding existing reports within the organization.

• Contribute to the establishment of standards and best practices for the analytics organization, demonstrating proficiency in SAS applications, Tableau, Power BI, Microsoft Word, Excel, PowerPoint, and Visio.

Qualifications
  • Basic Qualifications:
    A 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:

    • Proficiency in data analytics and visualization tools (e.g., Tableau, PowerBI, Qlik, Essbase).

    • Advanced Excel skills (e.g., pivot tables, VLOOKUP, Analysis ToolPak, macros/VBA).

    • Experience with data wrangling, workflows, and automation (e.g., SQL, Alteryx, Business Objects).

    • Familiarity with Oracle, IBM Netezza, PostgreSQL, SAS, Python, etc.

    • Experience in analytics, reporting, data modeling, and ELTL, with the ability to create insightful presentations for various teams, including executive leadership.

    • Demonstrated capability to develop custom solutions addressing business challenges.

    • Proven experience in presenting reports, insights, and data analytics findings.

    • Relevant experience in data and analytics within consulting, client engagement, or project execution.

    • A proactive learning attitude with a willingness to adapt and tackle challenges.

    • Prior experience or knowledge in Digital product analytics is advantageous.

    • Skills in statistical or quantitative analysis (e.g., multiple regression, multivariate analysis, AI-ML concepts).

    • Familiarity with statistical software or coding languages (e.g., Python, R, SAS).

    • Experience in data engineering with ETL tools is a significant advantage.

    • Knowledge of Natural Language Processing (NLP) algorithms, customer/employee survey analyses, and pattern detection.

    • Comfort with ambiguity and adeptness in stakeholder management across diverse business functions.

    • Understanding of project management concepts, including agile practices.

    • Familiarity with cloud computing solutions, such as IBM Netezza, AWS, Azure.

    • Experience or hands-on knowledge in data science, machine learning, and AI.

Preferred Area of Study: Computer Science, Statistics, Business Analytics, or related fields.
Preferred Education Level: A Master's degree is advantageous.

Compensation for this position varies based on skills, experience, and location, with a comprehensive benefits program designed to support associates at different life stages.



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