Business Analyst
Columbus, OH, US
Hexion Inc.
Company Overview
Grounded by a history that is deeply rooted in innovation, Hexion is a global employer committed to building and protecting the future by producing innovative performance materials. Our materials are the building blocks for critical industries, including construction, agriculture, energy, automotive, and infrastructure protection. Everywhere you look, you will find our materials and people at work to help customers make products that are stronger, safer, and cleaner. When you work for Hexion, you’ll join a team that is committed to operating safely and with integrity to build a more sustainable future for all, our associates, our customers, and the communities where we live and work.
Position Overview
The Business Analyst role is crucial in operationalizing the most urgent data and analytics initiatives for Hexion’s business. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, modeling, and visualization. Additionally, the successful candidate is committed to transforming data into readable, goal-oriented insights that drive innovation and growth. This role involves close collaboration with Business functions and leaders to influence the design and delivery of priority analytical solutions to solve business problems. The right candidate will possess excellent communication skills across all levels of the organization, while maintaining a broad understanding of Hexion’s key business processes.
Job Responsibilities
- Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
- Identify trends and opportunities for growth through analysis of complex datasets
- Analyze market trends, customer behavior, and competitor data to identify opportunities for business growth and competitive advantage
- Work closely with finance teams to conduct forecasting and profitability analysis for various business initiatives
- Collaborate with business functions to gather requirements, understand business challenges and develop analytical solutions
- Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
- Create best-practice reports based on data mining, analysis, and visualization
- Evaluate internal systems to identify efficiency opportunities, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
- Work directly with business managers and users to gather requirements, provide status updates, and build relationships
- Work closely with project managers and business leads to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
- Proactively analyze data to create content that answers key questions for stakeholders, with an eye on what drives business performance
- Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources leveraging Hexion’s standard analytical platform
Competencies
Future Focused
- Thinks from the Future
- Makes fact-based decisions – is not swayed by contrary opinions or perceptions
- Is continually curious and open to new ideas
- Enables an environment that embraces creativity and innovation
Trust & Teamwork
- Listens First
- Takes the time to listen for understanding and asks questions to clarify
- Uses communication skills that enhance teamwork (listens, is open, is honest, timely, and direct)
- Encourages others to listen using active listening skills
- Talks Straight
- Communicates directly, honestly, respectfully and in a timely manner to resolve conflict
- Uses simple language that is clear and to the point
- Can clearly define reality, even if it is controversial
- Aligns
- Practices accountability and collaboration to move the conversation forward
- Openly shares information
- Demonstrates Boundaryless Behavior
- Actively participates and openly shares with others – is transparent
- Works well with other departments, functions, regions and cultures
- Open to learning from others and values views different from own views
Transformational Leadership
- Works with Velocity
- Prioritizes workload; focuses on completion and is organized
- Anticipates next steps and works towards them
Achieves Business Results
- Focuses on the Customer
- Promotes a customer-focused culture and continuously strives to deliver value to the customer
- Works with customers (internal and external) to understand and meet their needs
- Commits
- Keeps a promise, trust, or pledge to do something now or in the future
- Actions and behaviors align with the goals of the organization
- Is fully engaged
- Demonstrates Agility
- Makes smart decisions quickly
- Receives feedback and adjust behavior
- Effectively works and communicates in a matrix environment
Minimum Qualifications
- Bachelor’s Degree in Business Analytics, computer science, statistics, mathematics, business, or another closely related field
- The ability to work and communicate effectively with both IT and business stakeholders
- Three or more years of experience reporting and/or data mining as a data analyst
- Technical writing experience in relevant areas, including queries, reports, and presentations
- Experience with SQL, Python, Azure, or R with aptitude for learning other analytics tools
- Experience should include working in cross-functional teams and collaborating with business stakeholders in support of departmental and/or multi-departmental data management and analytics initiatives
- Experience with database and model design and segmentation techniques
- Strong understanding of data process flows and an analytical architecture
- Thorough experience working with Power BI or another popular data discovery, analytics, and BI software tool such as Tableau, Qlik, and others for semantic-layer-based data discovery
- Demonstrated ability to work across multiple deployment environments including cloud, on-prem and hybrid
- A confident, energetic self-starter, with strong interpersonal skills
- The ideal candidate will have a combination of analytics skills and manufacturing industry knowledge
- SAP ECC system exposure with a firm understanding of at least one business functional area is a plus
Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, minority status, sexual orientation, gender identity, protected veteran status, status as a qualified individual with a disability or any characteristic protected by law.
In order to be considered for this position candidates are required to submit an application for employment through our career site, be at least 18 years of age, willing to take a drug test, submit to a background investigation as part of the selection process, as well as additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies.
Candidates are required to have unrestricted authorization to work in the United States.
If currently an employee of the Company, you must have current satisfactory work performance and in most cases, have been in your current role for 18 months.
Disclaimer: We are not accepting unsolicited assistance from search firms/employment agencies for this employment opportunity. Please, no phone calls or emails to any employee about this position. All resumes submitted by search firms/employment agencies to any employee of the Company via email, the Internet, or in any other form and/or method without a valid written search firm agreement in place for this position will be deemed the sole property of the Company; no fee will be paid in the event a candidate is hired by the Company as a result of the unsolicited referral or through other means.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Business Analytics Computer Science Data Analytics Data management Data Mining Finance KPIs Mathematics Model design Power BI Python Qlik R Security SQL Statistics Tableau
Perks/benefits: Career development
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