Data Analytics Engineer

Cognate Bioservices | Memphis, Tn

Date listed

1 month ago

Employment Type

Full time

Found on:

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Data Analytics Engineer (Business Intelligence)

This position will play an important role in transforming data into actionable information by enabling deeper understanding and improvement of business processes. In this role, the individual will assist in analyzing and implementing business intelligence architecture for the organization. Additionally, identifying conclusions from business intelligence initiatives, interacting with a variety of stakeholders, and communicating critical requirements will be essential to help Cognate achieve its organizational goals. EDUCATION and EXPERIENCE Bachelor's degree in IT, Computer Science, Engineering, Finance or related field. 3+ years of experience in data management, data engineering, visualization, and/or data warehousing DATA MANAGEMENT AND ANALYTICS Experience with data management and analysis. Skilled in dashboard design and development. Experience in Excel is required. Proficiency in Power BI / Tableau and database technologies such as SQL Server is required. Hands-on experience building, maintaining, and supporting business intelligence data backends, specifically data warehouses. Experience with enterprise (Azure, AWS, etc.) or open-source (Apache Spark, Delta Lake, etc.) cloud services preferred. Specific skills consistent with Microsoft technical architecture preferred, including Microsoft BI stack (SSIS, SSAS, SSRS, Power BI, Azure Data Factory) Ability to write and develop SQL queries required Proficiency with DAX measures in Power BI Data integration, ETL, or ELT experience required Python programming experience preferred Ideal candidate possesses strong business acumen, project management, and organizational skills

OTHER SKILLS AND REASONING ABILITY Advanced skills in Office 365 products, especially Power Platform. Experience leveraging data to drive decisions in professional or extracurricular endeavors. Comfortable working independently and collaboratively. Proven (GitHub, Kaggle, etc.) ability to automate tasks or provide solutions that require a proficiency in programming. Ability to understand and use REST APIs Ability to comprehend, analyze, and interpret complex data sets. Ability to solve problems involving several options and forecast multiple outcomes. Advanced analytical and quantitative aptitude. ESSENTIAL DUTIES AND RESPONSIBILITES Develops a deep familiarity with a variety of data sources including transactional databases, data warehouses, internal tools, and external integrations. Collaborate in the deployment of reporting and dashboard solutions Participate in design, development, and analysis of data architecture and warehousing approaches Use effective data visualization techniques to communicate information clearly and efficiently Work to ensure the quality, accuracy, and integrity of data Build, implement, support BI solutions Test, monitor, manage, and validate BI activity including data extraction, transformation, movement, loading, cleansing, and updating processes Develop BI databases Demonstrate knowledge of enterprise source systems and database schemas Build and maintain tabular models Develop measures for aggregate analysis of production metrics Perform varying methods of data analysis Participate in the development of consistent data definitions and use Creation of data / process flow documentation Participate in developing and upholding data management and governance strategies Demonstrates a self-directed approach to departmental responsibilities Demonstrates the ability to deal with pressure to meet deadlines, to be accurate, and to handle constantly changing situations. Accepts additional projects and responsibilities as assigned Demonstrates capacity to deal with a variety of people and engage others in a cooperative and collaborative workspace Commitment to continuous education and exposure to modern tools and techniques Contribute project deliverables to business intelligence projects internal groups. Review project deliverables including Power BI dashboards, formal reports, PowerPoint briefings, etc. Assist presentations (both in-person or virtually) of project progress meetings and presentations of results. Problem solve technical issues and answer internal stakeholder questions. Escalate issues to supervisor and dedicated technical resources as needed. Rigorous review and improvement of project processes. Provide subject matter expertise on data-related processes and analyses. Create, maintain and optimize creative data visualizations and dashboards (primarily in Power BI) to derive actionable intelligence. Aggregation and analysis of quantitative data; forecast and trending of performance data. Develop and refine cost models for licensing requirements of the organization

“Cognate BioServices provides equal employment opportunities to all employees and qualified applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.”

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