Find & Apply For Data / Data Mining Analyst Jobs in Cheektowaga, New York

Data Analyst Venture Forthe Inc - 3.2 Cheektowaga, NY Job Details $65,000 - $70,000 a year 12 hours ago Benefits Visa sponsorship Opportunities for advancement Qualifications Performance dashboard reports Data model design Dashboard development Data visualization software proficiency Data modeling projects Presentations for conferences or internal meetings Business intelligence report generation Dashboard creation support Programming languages Business intelligence tools Bachelor's degree Data analysis software

Full Job Description Description:

About the Role We are seeking a highly analytical and driven Data Analyst to help transform how our organization uses data. In this role, you will partner across departments to turn complex data into actionable insights, helping guide strategic decisions and improve operations across the business. This is a unique opportunity to build and centralize data analytics functions, creating a hub that supports teams across marketing, scheduling, compliance, finance, and beyond. This is a primarily in-office position that can be based out of any Venture Forthe office location, including Niagara Falls, Buffalo, Rochester, Syracuse, Jamestown, Olean, Binghamton, Corning, or Elmira. What You'll Do Analyze data using statistical techniques and deliver clear, actionable reports Develop and implement databases and data collection systems Acquire and manage data from multiple sources Identify trends, patterns, and insights within complex datasets Clean, filter, and validate data to ensure accuracy Collaborate with leadership to prioritize business and information needs Identify process improvement opportunities using data-driven insights Support the development and integration of analytics into business operations Partner with cross-functional teams to build dashboards, reports, and KPIs Assist in shaping the technical direction of data and analytics initiatives Why Join Us? Opportunity to build and shape a centralized data analytics function Collaborative, cross-functional work environment Meaningful work that directly impacts business strategy and operations Opportunities for professional growth and advancement Equal Opportunity Employer We are proud to be an Equal Opportunity Employer and are committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic. Venture Forthe, Inc is unable to provide immigration sponsorship of any kind, now or in the future. This includes but is not limited to the following:

STEM OPT

employer plan obligations (Form I-983 and associated reporting requirements) H-1B visa sponsorship, including filing fees, attorney fees, and associated compliance obligations O-1 visa sponsorship TN status sponsorship Any other employer-sponsored immigration benefit or work authorization program requiring employer participation, documentation, fees, or ongoing compliance obligations All candidates considered for employment must be currently authorized to work in the United States and must not require employer sponsorship of any kind, at the time of hire or at any point in the future. #VFI123

Requirements:

What You Bring Bachelor's degree in Mathematics, Economics, Computer Science, Statistics, Information Management, Industrial Engineering, or a related field 3+ years of relevant experience preferred Strong analytical and problem-solving skills Ability to translate business needs into data solutions Excellent communication and presentation skills Technical Skills Experience with data models, database design, and data mining techniques Proficiency in Excel (pivot tables, VLOOKUP, advanced formulas) Experience with reporting tools (Tableau, Power BI, etc.) Working knowledge of SQL and programming languages such as Python, JavaScript, or ETL frameworks Experience using statistical packages for data analysis Ability to build dashboards and present insights effectively