Data Analyst/Sr. Data Analyst (Delivery)-ITDAI LC (Contractual)

International Monetary Fund•Washington, DC

18h

About The Position

Work for the IMF. Work for the World. Job Summary Under the direction of the Deputy Unit Chief (Lending and Corporates Services) in the IT Department at the IMF, the Delivery Data Analyst/Sr. Data Analyst will work in the Data Warehouse and BI team delivering Business Intelligence/Analytic solutions. This includes but is not limited to working with Product and Platform Owners in the design of data warehouse solutions, reports and dashboards for corporate data, and managing service provider resources for the effective delivery of systems. The role requires combinations of strong Computer Science, including data engineering skills, to provide effective and integrated solutions to the business, not only on the technological dimension, but also on quantitative modeling dimensions. This position requires (i) proven ability to deliver complex financial, capacity development, portfolio, and other analytic solutions; (ii) strong technical skills in data warehousing, including advanced Azure Cloud Admin skills; and (iii) strong business background in Data Governance tools implementation and support. The Data Analyst/Sr. Data Analyst will be responsible for delivering technology solutions, safeguarding technical assets by identifying platform requirements and working with Enterprise Architects, Business Analysts, Solution Architects, Platform Architects and Source Platform Owners to develop solutions that satisfy, business needs. The ideal candidate should also demonstrate expertise and capability to: Understand the business and technical landscape of multiple source systems and required data integrations by analyzing data source structures, reviewing how the information is structured, how the data is transformed within a system and how to extract information that is useful and actionable for the business. Provide technical expertise in coordination with platform owners, projects managers and technical leads of development teams, to systematically enhance and enrich Corporate Data Warehouse and BI ecosystems solution capabilities while adhering to the enterprise architecture and technology related policies. Provide technical expertise in coordination with source platform owners and business stakeholders to review user requests and assess technical options. Maintain the Corporate Data Warehouse and BI ecosystem platforms, including supporting the middleware applications, and the integration components, to ensure adequate quality assurance performed prior to deployment of solutions. Configure, manage, monitor and provide tuning to installed Corporate Data Warehouse and BI ecosystem solutions and associated IT infrastructure to ensure high availability, scalability and performance. Perform technical investigation and troubleshooting of production incidents related to Azure Data Pipelines. Take on the responsibility of managing system administrator or privileged service accounts for Corporate Data Warehouse Ecosystem. Monitor and analyze Corporate Data Warehouse and BI ecosystem solutions usages statistics; and recommend optimization procedures for the business domain platform and associated product families. Provide assistance to the team in the development of enterprise data and metadata standards, and enterprise tools and technologies. Provide advice, guidance, and assistance to less experienced colleagues as required. This is a one-year contractual appointment. Contractual appointments at the IMF are renewable for up to four years of cumulative contractual service, pending incumbent's performance, budget availability, and continuous business need. The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process. Information on how to request accommodations will be provided during the application process. The IMF works to foster global monetary cooperation, secure financial stability, facilitate international trade, and promote high employment and sustainable economic growth. Our work on the macroeconomic benefits of challenges such as empowering women, modernizing the global trading system, and wage inequity, provides new ideas to safeguard the stability of the international monetary and financial system and addresses the world's most pressing macroeconomic and financial issues. Our 3,100 dedicated employees are leaders in their fields and collaborate to address the needs of our members and make a meaningful, positive difference to lives across the globe. This privacy notice explains how the International Monetary Fund (IMF) processes personal data collected through its recruitment portal. The IMF collects and uses various types of personal data in the context of its recruitment process in order to take steps required prior to entering into a contract. This may include contact details, work experience, education background, and professional qualifications. Access to personal data is limited to authorized IMF personnel and certain third parties, such as authorized partners or service providers who act on behalf of the IMF. These may include service providers such as background check agencies, assessment vendors, and other recruitment-related partners. If you are offered a position, your data may also be shared as necessary to comply with legal or regulatory requirements (e.g., for visa applications) or in response to lawful requests by public authorities, including law enforcement agencies. Personal data is retained in accordance with applicable IMF retention policies. You have rights in relation to your personal data. For more information about these rights and how to exercise them, please refer to the IMF's General Privacy Notice.

Requirements

Advanced degree in Computer Science, Physics, Engineering, or relevant field plus a minimum of four (4) years of post-graduation professional experience, or a bachelor’s degree plus a minimum of ten (10) years of post-graduation professional experience is required.
Knowledge of .NET Programming and Unix Administration.
4 to 6 years technical architect experience directly related to Azure Cloud Administration.
Demonstrated technical expertise of working with enterprise data; data warehousing; BI reporting and dashboard development of advance enterprise data architectures utilizing key data warehouse components such as Azure SQL, DataStage, TM1, Microsoft Power BI, Tableau, Office365, and Oracle database and programming languages such as Fortran, Python and R.
Strong oral and written communication skills and ability to convey higher level technical concepts to non-experts.

Responsibilities

Collaborates with business partners, platforms and other integrated team members to develop solution design and delivery of BI and analytics applications.
Translates business reporting and analytical requirements into technical specifications.
Ensures alignment between what business stakeholders need (integrations, KPIs, dashboards, reports) and how data is modeled, transformed, and loaded.
Leads transform Managed Service Providers ensuring delivery of data driven solutions.
Leads the effort to develop reports and dashboards for business users, utilizing Power BI and programming languages, such as Fortran, Python, and R to manipulate and analyze data.
Researches, analyzes requests, and designs algorithms to improve performance and to extend the capabilities of BI and analytics applications.
Effectively communicates, be it verbal or written, and evangelizes data warehouse capabilities and the importance of data governance to relevant stakeholders.
Analyzes requests, designs methodology and develops programs and modules for advanced data modeling visualization.
Conducts complex database queries, integrations of data from multiple data sources, and works with ETLs for large-scale, complex data sets.
Reviews data definitions and ensures data quality compliance based on an established data governance framework.
Identifies and leverages opportunities to continually improve the quality of data management systems, processes, and standards.
Supports processing of structured, unstructured, and semi-structured data to derive patterns, trends, and correlations using various data science tools and techniques in order to draw credible analytical conclusions.
Utilizes the Fund-selected third-party Metadata Management tool (Collibra) by expanding the use of its data catalog, data governance, and data lineage capabilities.