$88.60K - $111.80K/yr
Full-time
Posted 16 hours ago
Job description
bluestone Executive Search specializes in aligning top companies across vast industries with superior, high-level IT professionals worldwide.
We are seeking an experienced Sr. Data Warehouse / Business Analyst on a full-time, permanent basis for our client, a worldwide leader in the technology and media space. The Sr. Data Warehouse /Business Analyst will serve as a leader for Business Intelligence and work with vendors to implement BI solutions to meet their needs. This role is functional and technical with the qualified candidate having an understanding and experience with BI environments such as Business Objects or Informatica; data warehouse architecture and design experience, data modeling as well as a strong understanding of star schema and snowflake schemas; an understanding of normalization and denormalization; dashboards; ETL design; SQL queries; ad hoc reporting and strong analytical and communication skills to work with senior management and vendors.
High level job description
Work as a business partner to define and document key requirements for BI solutions.
Analyze requirements, design the solution, develop, implement and support the BI solutions.
Provide support as needed for all BI applications.
Candidate Profile
Minimum of 5 years hands on experience implementing BI solutions, from analysis through implementation, including technologies such as Business Objects XI and Informatica, and concepts such as dashboards.
4 year bachelor's degree is required, preferably in Information Technology.
Must have passion to sell BI solutions.
Very good verbal and written communication skills, including documenting solution requirements and design.
Must be able to work with the remote based BI team, and offshore development team, staying closely coordinated with them, but not requiring day to day supervision.
5+ years' experience in BI data analysis supporting BI solutions.
Data Analyst details
Data modeler/analyst must have strong knowledge of star schema and snow flake schema
Data modeler/analyst must have good experience in rational database systems and architecture.
Data modeler/analyst must have good experience in forms of normalization and transformations of data throughout the forms .
Data modeler/analyst must have Database table and schema design experience (specially for Oracle)
Data modeler/analyst must have knowledge of Business Intelligence Process
SQL Language is a must.
Gather requirements for data integration, data visualizations, dashboards, and reports.
Must have experience on SDLC phases .
Able to document Technical , Business and Functional Requirements
Able to document mapping on ETL and Database tables and schema .
Able to provide test cases for testing purposes on BI
Able to create end user documentation .
Collaborate with customers and technical colleagues to define the project requirements, business process, work-flow, and data flow on business projects and ad-hoc application support
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Data Analyst?
A: To succeed as a Senior Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical modeling techniques. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are essential for presenting insights to stakeholders, identifying business needs, and working with cross-functional teams. By combining these technical and soft skills, Senior Data Analysts can drive business growth, inform strategic decisions, and advance their careers through leadership opportunities or specialized roles in data science.
Q: What is the career path for a Senior Data Analyst?
A: A Senior Data Analyst's typical career progression involves starting as a Data Analyst, progressing to a Senior Data Analyst, and eventually moving into leadership roles such as Data Manager or Business Intelligence Manager. Key opportunities for skill development include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and developing expertise in statistical modeling and machine learning. Long-term career prospects for Senior Data Analysts may include transitioning into data science roles, becoming a Director of Analytics, or pursuing careers in related fields like business consulting or product management.
