Senior Data Analyst

Qualification

• Five (5) years of experience as a data analyst or in other quantitative analysis or related disciplines, such as researcher, data engineer or Business Intelligence (BI) analyst.
• Possess a bachelor's degree.
• Five (5) years of experience as a Data Base Administrator (DBA) or similar responsibilities. At least three (3) years of that experience must have been at a high level both technically and in measure of responsibility.
• Five (5) years experience with the understanding of information technology fundamentals, architecture, relational database, and the system development life cycle.
• Five (5) years experience with communicating effectively both verbally and in writing with a variety of audience types using different mechanisms, including informal updates, formal presentations, business case documents, and other analytical and technical documents.
• Staff has a minimum of twelve (12) months of experience with the extract, transform, and load (ETL) tool, such as DataStage, Informatica.
• Staff has a minimum of twelve (12) months of experience with Teradata SQL Studio.

Onsite - 4 days a week

Senior Data Analyst Roles and Responsibilities

• The Senior Data Analyst leads work to enable stakeholders across the organization by translating initiatives and goals into analytical questions, identifying critical metrics, conducting analysis, developing reporting, and leading efforts to uncover levers that could improve decision making and program outcomes.
• Additionally, the Roles and Senior Data Analyst will work with staff to identify relevant datasets, contribute to Responsibilities data transformations, clean data, and conduct exploratory and statistical analysis to identify, analyze, and interpret trends or patterns in complex datasets.
• The Senior Data Analyst must be able to work with SMEs across programs, divisions, policy areas, and levels of knowledge.
• The Senior Data Analyst must be able to derive insights that advance the needs and that are actionable by the client.
• They must be able to articulate and present these insights in ways that the client understands and is able to take action on.
• The Senior Data Analyst must be comfortable starting with ill-defined datasets and problems and helping stakeholders to unpack what will be most helpful and achievable given the data available. The Senior Data Analyst must also be an effective data storyteller with a strong background in written and oral communications and a demonstrated ability to translate complex concepts into actionable insights.
• The Senior Data Analyst must be able to work with structured data of various kinds and sizes in databases or spreadsheets, using scripting languages and/or SQL to manipulate data.