Data Analyst Paid Training Jobs in Columbus, OH (NOW HIRING)

Essential Functions:

• Collaborate with project teams to identify key metrics and develop KPIs.
• Import, clean, manage and structure data for analysis.
• Create interactive and insightful dashboards and reports using tools such as Tableau or Power BI.
• Analyze data to identify trends, patterns, and insights that can inform project strategies.
• Create reports to present findings and recommendations to project teams and stakeholders.
• Ensure data accuracy, consistency and completeness across all reports and dashboards.
• Train and support users in leveraging dashboards for insights.
• Maintain and update dashboards and reports as project needs evolve or new data becomes available.
• Develop strategies to optimize data collection and analysis.

• Develop Excel programs to automate data analysis and identify opportunities to improve efficiency and effectiveness.
• Studies, analyzes, and develops a deep understanding of the markets associated with our business and keeps current on new technologies and best practices.
• Analyze and develop marketing algorithms for key product segments and make market recommendations based on reviewed data.
• Acts as primary source for reports, dashboards and business analysis.
• Participates in the development of processes and tools for gathering business intelligence on market products to enable sales organization to make more informed product range decisions
• Conducts the analytics and manages data necessary for the maintenance of product range and new programs and develops performance management tools to monitor and track program results.
• Financial impact analysis for sales proposal activities and competitive activity
• Develops product models and programs that support key financial business objectives
• Achievement of the business line annual $VM budget and NMI budgets for each segment of the business.
• Operate with defined budgets and corporate policy.
• Adherence to NSG Pilkington Standards of Business conduct and Its Values and Principles
• Other duties as assigned

  Scope/Dimensions:

• Collects and analyzes large datasets, develops algorithms and predictive models

• Collaborates with internal cross-functional teams to share data and insights
• Drives process improvements within organization

Qualifications Required: 

• Bachelor degree in Business, Computer Science, Mathematics or related field and two years related experience; without degree a minimum of six years related experience.

Other Requirements:

• Able to work in US without sponsorship.
• Strong analytical and problem-solving skills.
• Experience working with data analysis and visualization tools, preferably Tableau or Power BI.
• Strong understanding of data analysis, data modeling, and data visualization principles.
• Proficient in SQL and experience with other data analysis tools is a plus
• Ability to analyze data, evaluate alternatives and make recommendations considering impact of decisions.
• Columbus Ohio preferred location, but other US locations may be considered.
• Strong organizational skills and attention to detail.
• Proficiency in MS Excel and other data analysis software and experience working with large data sets.
• Excellent communication skills and ability to effectively interface with people of a variety of backgrounds and technical expertise.
• Ability to work in teams, to multi-task and to take leadership responsibility on projects.
• Ability to learn and share information with co-workers.
• Ability to travel up to 5% of the time as business needs require – domestic and international.

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We offer an excellent compensation and benefits package, which includes 401k, medical, dental, vision, life insurance, company paid holidays, paid vacations, and education assistance.

NSG Group/Pilkington is an equal opportunity employer; M/F/D/V encouraged to apply.  Qualified candidates will receive consideration without regard to age, race, color, religion, gender, sexual orientation, disability, or national origin.  Applicants have the option to confidentially self-identify or not self-identify when applying.