Information Analyst at Performix

Greensboro, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data-Driven, Deep-Dive Analysis, Strategic Coaching, Data Quality Advocacy, Dashboard Creation, Trend Forecasting, SQL, Excel, Tableau, Power BI, Python, R, AI, Business Acumen, Communication, Mentoring

Industry

Manufacturing

Description

Description: · We are looking for a data-driven professional who doesn't just "deliver reports" but acts as a bridge between complex data and actionable business strategy. · The ideal candidate will spend 50% of their time performing deep-dive analysis and 50% coaching team members on how to interpret, leverage, and improve their own data literacy. · You will be the go-to expert for turning raw information into a roadmap for growth. Key Responsibilities: · Deep-Dive Analysis: Identify patterns, anomalies, and opportunities within large datasets to drive departmental KPIs. · Strategic Coaching: Act as a mentor to non-technical stakeholders, guiding them on how to use data to tell a story and make confident decisions. · Data Quality Advocacy: Work with teams to identify trends/gaps in collection, providing guidance on how to improve data integrity at the source. · Dashboard & Tool Creation: Develop intuitive visualization tools that empower others to self-serve their data needs. · Trend Forecasting: Translate historical data into forward-looking insights to help the leadership team anticipate market shifts. · Education: A Bachelor’s Degree from an accredited institution in Information Technology (IT), Computer Science, Data Analytics, Engineering, or a related technical field is required. · Technical Experience: data tools (e.g., SQL, Excel, Tableau, Power BI, or Python/R/ AI). A Plus if experience with SAP S4 Hana Core Competencies: · The "Teacher" Mindset: A proven ability to explain complex technical or statistical concepts to a non-technical audience clearly and empathetically. · Business Acumen: Ability to understand the "why" behind the numbers and align data projects with company goals. · Communication: Exceptional written and verbal skills, specifically in the context of presentation, training, and documentation. · Hours: 8:00am to 5:00pm

Responsibilities

The role involves spending half the time on deep-dive analysis to identify patterns and opportunities in large datasets, and the other half coaching team members on data interpretation and literacy improvement. Key duties include guiding stakeholders, advocating for data quality, creating self-service visualization tools, and forecasting trends.