Sr. Analytics Engineer

Thermo Fisher Scientific · Washington DC

Company

Thermo Fisher Scientific

Location

Washington DC

Type

Full Time

Job Description

Job Description

DUTIES: Develop and deploy SQL Business Intelligence (BI) reports, data models, applications, and self-service solutions.

Design, build, and populate data objects.

Design and build interactive Power Apps Applications to store and process user feedback.

Develop Power Automate to automate business processes.

Design and Publish Power Virtual Agents to handle user inquires, and trigger Power Automation Flows.

Translate business requirements into technical requirements to implement BI solutions.

Collaborate with stakeholders to design, develop, and maintain ongoing metrics, reports, and analyses and dashboards to drive key business decisions.

Support Data Warehouse enhancements and operations including table, view, stored procedure, and other changes.

Perform query tuning and optimization.

Follow change and version control in moving code from development to test/QA and to production environments.

Develop routines and procedures for end-users to facilitate best practices use of reporting tools and applications.

Support automated report generation, distribution, and archiving processes.

Follow appropriate incident, problem, change management, and project processes.

Willing to travel up to 10% domestic.

REQUIREMENTS: Bachelor's degree or foreign degree equivalent in Information Systems, Electronics Engineering, or related field of study plus 5 years of experience in analytics engineering or a related occupation. Employer will also accept a Master's degree or foreign degree equivalent in Information Systems, Electronics Engineering, or related field of study plus 2 years of experience in analytics engineering or a related occupation as an equivalent alternative.

Must have knowledge or experience in:

Power BI;

Power Automate;

Power Apps;

Power Virtual Agent;

MS-SQL BI components (SSAS, SSRS, TSQL, Reporting server DAX, MDX);

Databricks;

PySpark.

Date Posted

12/17/2023

Views

5

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