Data Analyst - Remote

Data Analyst 13464

A leading professional networking company is seeking a Data Analyst. The successful candidate will support the Small and Midsize Business (SMB) segments, playing a pivotal role in leveraging data science to drive strategic decisions and operational efficiencies. The ideal candidate has 3+ years of experience in data science, analytics, or a similar role with a strong analytical background. The company offers a great work environment!

Data AnalystPay and Benefits:

• Hourly pay: $40-$55/hr (Pay varies based on candidate's location and experience)
• Worksite: Leading professional development and networking company (Remote, candidates must be located in the United States)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
• 40 hours/week, 12 Month Assignment

Data AnalystResponsibilities:

• Collect and analyze data from various sources, interpreting complex datasets to identify key insights and trends.
• Design, build, and maintain advanced analytics tools and Tableau dashboards to monitor KPIs and assess performance against objectives.
• Develop analysis and communications for specific business problems and opportunities.
• Lead data-driven projects with regional or global impact, such as customer segmentation, sales forecasting, and process optimization.
• Collaborate with Sales, Finance, and Business Analytics teams to enhance data integration, reporting automation, and performance tracking.
• Develop and implement data models, algorithms, and analytical techniques to support business decision-making and strategic planning.

Data Analyst Qualifications:

• 3+ years of experience in data science, analytics, or a similar role with a strong analytical background
• 2+ year of experience with SQL, Tableau, and statistical software.
• 1+ years of experience with data visualization tools and presenting insights to stakeholders.
• Experience collaborating with cross-functional teams and managing stakeholder relationships preferred.
• BA/BS degree in a related field.
• Advanced analytical and problem-solving skills, with a keen eye for detail and accuracy preferred.
• Proficiency in Python and other data science tools preferred.
• Exceptional time management and prioritization skills, with the ability to meet deadlines independently preferred.
• Proven track record of leading projects and presenting findings to senior leadership preferred.