Data Analyst Engineer
Data Analyst Engineer
Posted on :
17-03-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
17-03-2025
Job Description
The position of Sr. Business Intelligence Data Analyst/Engineer must possess a solid knowledge of the principles and practices of enterprise data warehouse development data modeling and testing and storytelling through data analytics.
Job Duties and Responsibilities:
- Serve as an internal data consultant participating in data integration discussions.
- Participates in the design development validation and testing of new or revised reports. Works with user to verify results and content develops error or exception reports when applicable and receives user sign off on completed work.
- Analyze and evaluate highly complex business and market data; interpret data for the purpose of determining organizational/program performance trends and/or probability.
- Design and apply forecasting and predictive modeling techniques to enhance strategic thinking and business planning.
- Efficiently and effectively operate across multiple projects simultaneously and assume responsibility for the appropriate data/information architecture design and quality.
- Meet with key stakeholders to present and review data output to improve operational performance support decisions and enhance planning efforts.
- Mentor and train on the appropriate usage of data marts enterprise data warehouse and other data sources used in reporting and analytics including reporting and visual use cases.
- Uses and promotes established Software Development Life Cycle (SDLC) standards QA and change control procedures.
- As a member of the Data Warehouse Team you will be involved in all aspects of:
- Designing implementing maintaining and supporting endtoend ETL solutions as well as data warehouse and cubes.
- Developing refining and maintaining the security quality and integrity of data in ETL solutions and the data warehouse at large.
- Establishing implementing and upholding data integration standards and methodologies.
- Creating and executing test plans for ETL and data integration solutions
- Monitoring ETL jobs to verify maintain performance and resolve data integration issues as they arise.
- Implementing maintaining and supporting the data quality data catalog and master data management initiatives of data marts and the enterprise data warehouse system.
- Working with Database and System Administrators to establish and enforce best practices for availability performance and data security.
- Proactively designing support activities around data integration; such as ongoing data validation and performance tuning.
- Participating in code and design review to ensure alignment to standards and best practices.
- Reviewing existing data structures and recommend optimizations and redesigns as warranted.
- Serves as a technology advocate throughout the IT organization to help promote the effective use of the data/information architecture to meet business needs and to build sustained competitive advantage for the enterprise.
Knowledge Skills and Abilities:
- Proficient use of Microsoft Data Analytics tools (SSIS SSAS SSRS Power BI) as well as Microsoft Office tools.
- Deep knowledge and practical use of Microsoft Querying Languages including TSQL MDX DAX.
- Proven ability to design develop test and deploy efficient and effective tabular and multidimensional cubes along with necessary ETL code and processes to support them.
- Possess indepth knowledge with one or more BI visualization tools including but not limited to: SSRS Power BI Qlik Sense QlikView Tableau SAS Business Intelligence SAP BusinessObjects BI MicroStrategy IBM Cognos Analytics Sisense ThoughtSpot or Google Analytics.
- Demonstrated experience planning designing developing and delivering endtoend BI/Data Analytics solutions (i.e. data warehouses data/ information delivery)
- Requires proven analytical skills with ability to organize maintain process and analyze vast amounts of information and complex issues and communicate findings in a clear concise manner including verbally graphically and in writing to a variety of audiences.
- Ability to utilize critical thinking and project management skills to manage work efforts through to successful completion.
- Independent problemsolving skills and data analysis techniques required.
- Requires demonstrated ability to organize and execute work independently and effectively within frequent deadlines.
- Excellent written verbal communication and presentation skills are required.
- Ability to establish and build relationships with all members of the business community are required.
- Requires ability to maintain effective interpersonal skills with internal and external staff and audiences.
- Indepth knowledge of relational databases cubes data consumption and advanced data analysis.
- Ability to lead data exploration with key stakeholders to draw conclusions and make data driven business decisions.
Minimum Requirements
- Bachelors Degree in Computer Science Information Systems or other related field or 7 years equivalent work experience required.
- Minimum of 7 years experience designing developing and tuning complex large (TB) database management systems in support of operational reporting decision support complex data analysis and system integration.
- Minimum of 7 years experience working with and tuning Microsoft SQL Server or other similar relational database management systems.
- Minimum of 7 years experience in data modeling database design (multidimensional and data warehouse) data integration and ETL.
- High degree of selfmotivation drive and determination along with high aptitude.
- Masters Degree is preferred.
- Supply chain industry experience preferred.
- Knowledge of and experience with cloud data solution offerings (Azure Data Lake Data Factory Data Management Gateway Azure Storage Options DocumentDB Data Lake Analytics Stream Analytics EventHub Azure SQL etc.
- Experience with big data tools: Hadoop MapReduce HBase oozie Flume and Pig.
- Experience and knowledge of costoptimized cloud deployments spanning compute network and storage.
- Experience of message queuing stream processing and highly scalable big data stores.
- Experience with NoSQL databases such Cassandra MongoDB CosmosDB.
- Experience working with DevOps tools: ADO Git Jenkins Dockers etc.
- Experience with streamprocessing systems: Storm SparkStreaming etc.
- Experience in creating advanced statistics such as: regression clustering decision trees exploratory data analysis methodology simulation scenario analysis and modeling.
- Experience/ keen interest in exploring latest technologies and programming languages.
- Have strong interest in future path of to design develop and support Machine Learning technologies algorithms and models in support of business initiatives including:
- Determine the appropriate algorithms to solve a given problem through testing analysis and validation with the business.
- Data exploration and visualization to understand and define features for a given data set.
- Data model training and tuning to reduce errors and increase reliability and accuracy.
- Participate in innovation forums to identify new ways to leverage data to solve business issues.
The Timberline Group
Phone:
PO Box 565SullivanMO63080
Delivering quality solutions through quality people
Required Experience:
IC
Employment Type
Full Time
Key Skills
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