Office/Administration - Data Analyst Lv2

HireTalent; Wayzata (MN); Remote; USD 60,000 - 85,000; Full time

Job summary

A leading company seeks a Data Analyst Lv2 for a 6-month remote position. The role involves managing product master data in SAP, conducting data quality analyses, and collaborating with various departments to support data-related initiatives. Candidates should have proficiency in data management, familiarity with ERP systems like SAP, and experience with data reporting tools. A Bachelor's Degree or equivalent experience is preferred, alongside strong analytical and communication skills.

Qualifications

• Proficiency in customer data management and material master data.
• Familiarity with ERPs, preferably SAP.
• Minimum of 1 year relevant experience.

Responsibilities

• Process requests and enter data into SharePoint.
• Conduct data analysis and quality checks for accuracy.
• Collaborate with cross-functional teams for data initiatives.

Skills

SAP experience

Data management

Analytical skills

Communication skills

Data quality reporting

Education

Bachelor’s Degree or equivalent experience

Tools

SQL

Tableau

Power BI

Excel

Job description

Job Title: Office/Administration - Data Analyst Lv2
Job Location: Remote
Job Duration: 6 months on W2

Schedule: M-F, 8AM - 5 PM CST (Remote); prefer candidate to sit in Central Time Zone.

Duties Include:
• Create and maintain product master data in SAP ERP environment.
• Support data and process improvement efforts to implement the identified opportunities.
• Execute cleansing activities for master data to ensure the overall health of the data.
• Work closely with essential partners to ensure compliance with data processes and procedures.
• Handle basic issues and problems under direct supervision, while escalating more complex issues to appropriate staff.

Required Skills:
• SAP experience managing master data or in any other capacity (other ERPs are okay as long as candidate has experience in material data domain).
• Strong analytics and communications skills.
• Ability to develop relationships with business data stakeholders.

Candidate Backgrounds could include:
• Master Data Analysts involved with the manual Data Creation & Maintenance Process
• Customer Service Representatives that process a high volume of Sales Orders with High Accuracy
• Supply Chain Analysts responsible for maintaining MRP values for a high volume of materials.

Preferred Bachelor’s Degree or equivalent experience.

The Data Analyst 2 will demonstrate familiarity with business technology concepts, data management and decision support. Facilitate data extraction, collection, cleansing and preparation for consumption. Respond to ad-hoc data requests. Ensure timely and accurate data models that provide management information and analysis of function performance (key performance indicators, metrics). Conduct analyses of performance variables, data management, measurement and analytics, data design principles, concept and practices. Solve issues, while escalating more complex issues to appropriate staff.
Comments for Suppliers: Interviews will be virtuall via MS Teams.

Qualifications:
Proficiency in customer data management, material master data, and product development.
Familiarity with ERP systems, particularly SAP, is preferred.
Strong experience in data quality reporting using tools such as SQL, Tableau, and Power BI.
Excel skills at an intermediate or beginner level are acceptable.
Minimum of 1 year of relevant experience; quick learners are preferred.
IT background is acceptable; however, the role leans more toward data analytics than traditional IT.
Cross-functional collaboration experience with various departments and teams.
Industry-specific experience is preferred but not required.

Responsibilities:
Primarily responsible for processing requests and entering data into SharePoint.
Conduct data analysis and quality checks to ensure accuracy and integrity of information.
Assist in identifying and correcting data discrepancies.
Collaborate with multiple departments and cross-functional teams to support data-related initiatives.