What are the responsibilities and job description for the Business Intelligence Data Analyst position at ektello?
Process Transformation Business Intelligence Data Analyst
Job Description
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 MM, or SAP FI
- Experience using statistical programming languages to create advanced analytics like python, R, or SAS