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Data Analytics Sr Lead Analyst – SVP (Hybrid)

The Citi Security and Investigative Services (CSIS) Data Analytics Sr. Lead Analyst position requires a high level of domain expertise in areas of data analytics and business intelligence. The primary responsibility includes preparing data aggregation, visualizations and analysis to discover and classify patterns within the data that help in business decision making, and present findings to senior leadership.  The focus area is in translating complex data into meaningful and digestible insights for a broad and diverse audience of clients and decision makers across the organization up to and including the Chief Security Officer. One of the primary duties will be to support CSIS Leadership through analysis of large disparate datasets, relating to Security, Cyber, Fraud and Employee Investigations.

CSIS Business Analytics is part of the Chief Operations Office that supports Citi and its decision-makers with strategic guidance by providing actionable solutions driven by accurate data-driven insights. The scope of the data driven analysis ranges from recurring reporting to advanced analytical dashboards and products. The analyst will focus on developing new insights and to understand business performance based on data and statistical methods. The analyst will be collaborating with cross-functional teams to understand business needs and translate them into data-driven solutions.

A strong background in Data Analytics and / or Statistical techniques is required. Requirements also include proficiency in the use of Data Analysis tools (SQL, Python, R, etc.) and Data Visualization (Cognos, Power BI, Tableau). The Sr. Lead Analyst should demonstrate a strong understanding that information and data are strategic business assets and operationalizes the application of data and information to deliver optimal performance. The position will also influence decision making through a data driven approach and will require briefing to senior executives within the firm.

Based in Tampa, the CSIS Data Analytics Sr. Lead Analyst will report to the CSIS Global Director for Business Analytics, eDiscovery and Data Governance.

Key Responsibilities:

  • Data Collection and Analysis: Implement business analytics techniques to collect, organize, synthesize, and summarize data from diverse sources, providing actionable analysis for key decision-makers. Collaborate with Citi technology teams and business partners to define data requirements supporting analysis needs.

  • Strategic Data Utilization: Develop and implement automated dashboards, scorecards, key performance indicator (KPI) metrics, and other recurring data needs through innovative reporting tools. Translate complex data into clear, actionable insights for business stakeholders. Develop and implement data-informed strategies to improve business performance.

  • Project Leadership and Collaboration: Lead data analysis projects from inception to completion, ensuring timely delivery and high-quality results. Manage and coordinate with cross-functional groups, overseeing the development of key analytical products that drive operational efficiencies and enhance performance.

  • Stakeholder Engagement: Brief CSIS leadership and ensure stakeholder engagement across business sectors and with senior leaders on major analytical products.

  • Industry Partnerships: Liaise with a broad network of Business Analytics/Business Intelligence partners on methodologies, emerging technologies, and information sources to develop best practices. Drive reporting tool implementation by monitoring industry trends, leading data testing, and providing subject matter expertise to train the team on new tools.

  • This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Qualifications:

Experience:

  • 7+ years of experience in business analytics, working directly with business partners to ensure optimal design and delivery of data analytics solutions.

  • Proven experience implementing reporting and business intelligence solutions using enterprise reporting tools.

  • Experience in data analysis, providing analytical insights that support decision-making by business leadership teams.

  • Experience querying with SQL and analyzing data across multiple environments (e.g., SAS, MS SQL Server, Oracle DB).

  • Strong data visualization skills using Business Intelligence tools (e.g., Cognos, Tableau, Power BI).

  • Exceptional project management skills, with the ability to coordinate multiple projects simultaneously and oversee daily tasks with minimal supervision.

Education:

  • Bachelor's degree in a technology-related field (e.g., Computer Science, Information Science, Information Technology).

Skills:

  • Technical Skills: High proficiency in business intelligence reporting tools (e.g., Tableau, Cognos, Power BI) with experience creating compelling visualizations. Experience with task and report automation tools (e.g., VBA, Python). Technical expertise in enterprise data warehouse solutions, statistical analysis tools, database systems, and data visualization applications. Proficient in SQL and data technologies.

  • Soft Skills: Exceptional leadership skills with the ability to inspire and lead cross-functional teams towards a common vision. Excellent communication skills (English fluency required).

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Job Family Group:

Technology

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Job Family:

Data Analytics

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Time Type:

Full time

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Primary Location:

Tampa Florida United States

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Primary Location Full Time Salary Range:

$141,440.00 - $212,160.00


In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Anticipated Posting Close Date:

Apr 11, 2025

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

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Average salary estimate

$176800 / YEARLY (est.)
min
max
$141440K
$212160K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analytics Sr Lead Analyst – SVP (Hybrid), Citi

Join Citi as a Data Analytics Sr Lead Analyst – SVP in the vibrant city of Tampa, Florida! In this exciting role within the Citi Security and Investigative Services (CSIS) team, you'll bring your expertise in data analytics and business intelligence to the forefront. Your main mission? To transform complex datasets into enlightening insights that guide strategic business decisions. You will work hand-in-hand with senior leadership, presenting your findings and helping to shape the future of our security and investigative operations. Whether it's analyzing security data, cyber threats, or employee investigations, your contributions will touch the lives of many across the Citi organization. You'll leverage advanced reporting tools like SQL and Python to create visually compelling dashboards, translating data into actionable strategies. Collaboration is key, as you'll partner with cross-functional teams to ensure data solutions meet business needs. As the Sr Lead Analyst, your strategic insights will not only aid decision-making but also elevate performance across the board. Earn a competitive salary while enjoying numerous employee benefits, including medical coverage and generous paid time off. If you're a data-savvy leader ready to influence the next era of analytics at Citi, we can't wait to meet you!

Frequently Asked Questions (FAQs) for Data Analytics Sr Lead Analyst – SVP (Hybrid) Role at Citi
What are the key responsibilities of a Data Analytics Sr Lead Analyst at Citi?

As a Data Analytics Sr Lead Analyst at Citi, your primary responsibilities include preparing data aggregations, creating visualizations, and performing analyses to uncover patterns that assist in business decision-making. You'll collaborate with senior leadership and cross-functional teams, translating complex data into clear insights while managing critical projects from inception to delivery.

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What qualifications do I need for the Data Analytics Sr Lead Analyst position at Citi?

To qualify for the Data Analytics Sr Lead Analyst role at Citi, you should possess a bachelor's degree in a technology-related field and have at least 7 years of experience in business analytics. Proficiency in data analysis tools like SQL, Python, and visualization platforms such as Tableau, Cognos, or Power BI is essential, along with strong project management skills.

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How does the Data Analytics Sr Lead Analyst contribute to business performance at Citi?

The Data Analytics Sr Lead Analyst contributes significantly to business performance at Citi by providing data-informed strategies that improve operational efficiency. By developing and implementing insightful dashboards and key performance metrics, you enable decision-makers to leverage accurate data in their strategic planning.

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What tools does a Data Analytics Sr Lead Analyst at Citi use?

As a Data Analytics Sr Lead Analyst at Citi, you will utilize a variety of tools including SQL for querying databases, Python for data manipulation, and BI platforms like Tableau, Power BI, or Cognos to create engaging visualizations. These tools facilitate effective data analysis and decision-making across the organization.

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What skills are essential for success in the Data Analytics Sr Lead Analyst role at Citi?

Success in the Data Analytics Sr Lead Analyst role at Citi requires a blend of technical and soft skills. You should have high proficiency in data visualization and analytics tools, strong statistical analysis capabilities, and exceptional leadership skills to inspire cross-functional teams. Excellent communication and project management skills are also vital for effectively conveying insights and managing multiple projects.

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Common Interview Questions for Data Analytics Sr Lead Analyst – SVP (Hybrid)
Can you explain your experience with data visualization tools for the Data Analytics Sr Lead Analyst role at Citi?

When answering this question, emphasize your proficiency with tools like Tableau or Power BI. Discuss specific projects where you used these tools to create compelling visualizations that led to actionable insights. Highlight any particular challenges you faced and how you overcame them to deliver successful outcomes.

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Describe a time you influenced a decision using data analysis.

For this question, share a specific example where your data analysis led to a significant business decision. Detail the data you analyzed, the insights you derived, and how you communicated those findings to stakeholders. Emphasize the impact your analysis had on the organization.

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What statistical techniques are you most familiar with in your data analysis work?

Discuss the specific statistical techniques you have used, such as regression analysis, hypothesis testing, or data forecasting. Link these techniques to how they’ve helped you uncover insights in past projects and the outcomes that resulted from your analyses.

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How do you handle working with large disparate datasets?

You could explain your approach to cleaning, organizing, and synthesizing large datasets. Mention specific tools you've employed and any methodologies you've developed for efficiently processing and analyzing data. Discuss how this has improved data integrity and analysis quality in your previous roles.

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How would you explain complex data findings to a non-technical audience?

A great way to answer this is by detailing your approach to simplifying technical jargon. Talk about your use of visuals, analogies, and storytelling techniques to convey your analyses. Provide examples of successful presentations or briefings where you effectively communicated with a diverse audience.

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What strategies do you use to stay updated on the latest trends in data analytics?

Discuss your methods for staying informed, such as attending industry conferences, participating in webinars, or engaging in online forums. Mention any publications or thought leaders you follow in the field of data analytics to underscore your commitment to continuous learning.

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Can you describe your project management experience?

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What role does stakeholder engagement play in your work as a data analyst?

You should emphasize the importance of stakeholder engagement in ensuring that your analyses align with business needs. Discuss how you manage expectations, facilitate meetings, and gather feedback to refine your analytical approaches and improve stakeholder satisfaction.

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What methods do you use to verify the accuracy of your data analysis?

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How do you prioritize competing projects when analyzing data?

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Citi’s mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capi...

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DATE POSTED
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