Senior Engineering Analyst - C12 - DUBLIN

Assistant Vice President – Data Science Sr Analyst - Technology

Do you like working with data? Do you want to help drive the direction of products that that influence the technology decisions? We are looking for an analytics manager to join our growing team of data analytics experts and manage the process and people responsible for accurate data collection, processing, modeling, and analysis.

The ideal candidate has a knack for understanding questions that can be answered by data and seeing solutions that sprawl across datasets with the ability to translate that to multiple audiences. The Data Analytics and ML Operations Manager will work closely with the technology reference data, data science, infrastructure, support, cyber, and risk organizations to support and implement high-quality, data driven decisions. They will ensure data accuracy and consistency in the systems of records and work with other engineering teams to improve any gaps. They will use advanced data modeling, predictive modeling, and analytical techniques to interpret key findings from technology data and leverage these insights into initiatives that support Citi’s outcomes.

The right person for the job will apply their knowledge of the technology domain and their expertise in data analysis in solving problems faced by Citi and finding opportunities for improvement across multiple projects, teams, and business units.

Responsibilities:

• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Create a follow-the-sun data operational model where we can apply forensics and rapid response to data questions.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Recruit, train, develop and supervise analyst-level employees.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
• Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
• Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

Minimum Qualifications:

• Experience in working with ML Workbench technologies such as Dataiku, DataRobot, or Alteryx
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
• Bonus if experienced and knowledgeable in statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
• Experience working with and creating databases and dashboards using all relevant data to inform decisions.
• Strong problem solving, quantitative and analytical abilities.
• 5+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team.
• The right candidate will also be proficient and experienced with the following tools/programs:
  • Strong programming skills with querying languages
  • Experience with relational big data tools: Oracle, Hadoop, etc.

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

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Job Family Group:

Technology

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Job Family:

Systems & Engineering

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Time Type:

Full time

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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.

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