Citi Group Senior Engineering Analyst - C12 DUBLIN 

United States, Indiana 

203815969

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.

Time Type:

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