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International Monetary Fund · 3 weeks ago

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

USA, Washington DC

Full-time

Onsite

Mid, Senior Level

4+ years exp

International Monetary Fund is seeking a Delivery Data Analyst/Sr. Data Analyst who will work in the Data Warehouse and BI team delivering Business Intelligence/Analytic solutions. The role involves designing data warehouse solutions, managing resources, and providing technical expertise to enhance corporate data solutions.

FinanceFinancial ExchangesFinancial Services

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

Qualification

Azure Cloud AdministrationData WarehousingBusiness IntelligenceData GovernancePythonRPower BIETL ProcessesFortranUnix AdministrationCommunication Skills

Required

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