Data Analyst

at  Wolfgang Confectioners

CORE COMPENTENCIES:

• Effective Communicator
• Critical Thinking
• Self-starter
• Organized & Detail-oriented
• Small group instruction
• Proficient in SQL, MS SQL Server, MySQL
• Proficient in Power BI
• Working knowledge in Python, JavaScript & NoSQL databases
• Agile, Project Management, & DevOps Methodologies
• Collaborative Leadership

EDUCATION, SKILLS & EXPERIENCE:

Bachelor’s degree in a quantitative field such as Computer Science, Statistics, or Mathematics. 1-3 years demonstrated experience as a Data Analyst or similar role. Strong proficiency in SQL and data visualization tools (i.e., Power BI). Proficiency in statistical analysis and data manipulation using tools like Python. Excellent analytical and problem-solving skills. Effective communication skills to convey complex findings to non-technical stakeholders. Detail-oriented with a strong commitment to data accuracy and integrity. The following are all pluses: Experience with machine learning algorithms and techniques. Knowledge of data warehousing and ETL processes. Advanced proficiency in Excel and other data analysis tools. Experience with SCADA systems. Familiarity with food industry regulations and compliance standards.
Creativity & innovation skills to take a broad view, look for meaningful connections, translate new ideas into workable solutions, and encourage others to do the same. Initiative and follow-through to get going on important priorities, overcome obstacles, take appropriate risks, and keep moving toward goals. Ability to handle multiple priorities well. Strong technical, interpersonal, and influencing skills to successfully perform the planning, reporting, and administrative responsibilities of this position. Strong ability to work and thrive in a collaborative team environment that includes both technical and non-technical members.

BASE LOCATION, TRAVEL REQUIREMENTS:

• Base location is York, PA.
• Off-site training requirements are likely.

ROLE:

We are seeking a skilled and detail-oriented Information Technology Data Analyst to join our dynamic IT team. As a Data Analyst at Wolfgang Confectioners, you will play a crucial role in transforming raw data into actionable insights, driving informed decision-making and strategic planning. This role requires a strong analytical mindset, proficiency in data analysis tools, and the ability to collaborate with cross-functional teams to keep the business running, thriving, and relevant.
The role of a Data Analyst is dynamic and evolving, requiring adaptability and a commitment to staying current with technological advancements and best practices in data analysis. Successful Data Analysts are critical thinkers who can translate complex datasets into actionable insights that drive strategic decision-making within an organization.

RESPONSIBILITIES:

Data Collection and Cleaning: In a sustainable fashion, gather and compile data from various sources, ensuring accuracy and completeness. | Cleanse and preprocess raw data to remove inconsistencies and errors.
Data Analysis: Perform exploratory data analysis to identify trends, patterns, and outliers | Develop and implement statistical models to analyze complex datasets | Generate actionable insights through data interpretation and visualization.
Reporting: Create and maintain dashboards, reports, and visualizations to communicate key findings to stakeholders | Provide regular and ad-hoc reports to support decision-making processes.
Data Integration: Collaborate with cross-functional teams to integrate data from different systems and sources including Ignition from Inductive Automation (SCADA system) | Ensure data consistency and accuracy across multiple databases.
Predictive Modeling: Build predictive models to forecast trends and outcomes | Evaluate model performance and refine algorithms as necessary.
Data Quality Assurance: Establish and enforce data quality standards and best practices | Conduct audits to identify and rectify data discrepancies.
Collaboration: Work closely with business units to understand data needs and provide analytical support | Collaborate with teams to implement data-driven solutions.
Support systems and applications through end-user requests and troubleshooting as needed.