Job Description Do you have a knack for identifying insights from large datasets and telling the story through data visualization? Are you able to have technical conversations with IT and explain the outcome to the business in a simple and clear way? The Process Transformation Business Intelligence Data Analyst delivers easy to use self-service tools that provide meaningful insights into Global Purchasing and Manufacturing Services (GP&MS) and collaborates with process, IT, and other data analytics teams to improve data quality and accessibility. A successful Process Transformation BI Data Analyst is customer focused and able to identify opportunities to use analytical tools to make data more easily available, increase savings, or automate repetitive or time-consuming tasks. Stakeholders will come from a wide variety of service lines with their own unique processes and systems. The Process Transformation BI Data Analyst will need to be a quick learner and willing to challenge current processes and promote continuous improvement. Tools and languages an analyst will need to be able to use include SQL, Power BI, Databricks, KNIME, Power Automate, and Python.

Responsibilities:

Collaborate with the business, IT, and analytics community to craft, prioritize and document opportunities to provide better insights, identify data gaps, and improve efficiency Lead and support transformational projects from requirement gathering through user-acceptance Analyze and create substantial insight into business use and decisions, demonstrating large amounts of data from structured and unstructured data sources Train and support the business in the use of self-service tools and dashboards and help the business understand the available data fields and logic Prepare documentation and analytical reports that effectively summarize results, assumptions, and conclusion

Additional Job Description:

Education/Experience Minimum 3 years of relevant industry experience Bachelor's degree required in data analytics, engineering, computer science, operations management, supply chain or related field

Qualifications:

Self-starter with the ability to influence others, working in teams and independently with customers, cohorts, and partners across many different physical locations Demonstrated ability to use a dashboarding tool such as Power BI or Tableau to build customer facing deliverables Experience extracting large datasets using SQL Working knowledge of Extract Transform Load (ETL) best practices and experience transforming data with Python, Power Query, KNIME or a similar tool

Preferred Qualifications:

Experience using

REST API

to source data from cloud applications and is skilled at normalizing data from JSON files Knowledge of Source to Pay processes and working knowledge of SAP Ariba, SAP MM, or SAP FI Experience using statistical programming languages to create advanced analytics like python, R, or SAS We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary. Background Check and Drug Screen may be required. Talascend is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.