Data Analyst

Position Overview:

As a Data Analyst at AIEP, you will play a critical role in supporting our data-driven decision-making processes by providing detailed analysis, insights, and strategic recommendations. You will be responsible for analyzing large datasets, developing data-driven solutions, and collaborating closely with various departments to support business objectives. The ideal candidate will possess strong analytical, technical, and communication skills and will be able to translate complex data into clear, actionable insights that inform key decisions at all levels of the organization.

This position requires a proactive, detail-oriented professional capable of working independently while contributing to a collaborative team environment. As a key member of the team, your efforts will directly impact our business performance, driving efficiencies, enhancing customer experiences, and influencing strategic initiatives.

Key Responsibilities:

Data Collection & Preparation:

Lead efforts in gathering, cleaning, and validating large datasets from diverse sources, ensuring accuracy and consistency.

Develop and implement processes to collect, store, and manage data from multiple channels, ensuring it is easily accessible and well-organized for analysis.

Collaborate with stakeholders to define data collection requirements and ensure seamless integration with existing systems.

Data Analysis & Interpretation:

Conduct in-depth analysis of various datasets, including operational, customer, sales, and financial data, to identify trends, patterns, and business opportunities.

Utilize statistical analysis, data mining, and machine learning techniques to uncover actionable insights that drive business decisions.

Provide comprehensive reports and presentations that communicate complex data insights in an easily digestible manner for both technical and non-technical stakeholders.

Reporting & Data Visualization:

Create visually engaging and user-friendly reports and dashboards that communicate key business metrics and performance indicators using BI tools such as Power BI, Tableau, or Google Data Studio.

Deliver insightful reports to executives and management teams to guide strategic decisions, helping the company achieve its business goals.

Continuously refine and improve reporting processes to ensure efficient, real-time access to accurate data.

Forecasting & Predictive Analytics:

Develop and implement predictive models to forecast trends, such as customer behavior, sales patterns, and operational demands.

Leverage statistical models, machine learning algorithms, and historical data to provide actionable forecasts that help the company plan for future challenges and opportunities.

Work closely with business leaders to incorporate forecasts into budgeting, resource allocation, and operational strategies.

Collaboration with Cross-Functional Teams:

Partner with various departments, including marketing, sales, finance, and operations, to understand their data needs and deliver insights tailored to their objectives.

Collaborate with technical teams to ensure that data systems are optimized for analysis and that data infrastructure supports the company’s growing needs.

Offer guidance to non-technical team members in understanding data trends and how they can leverage data insights to drive business improvements.

Data Governance & Quality Assurance:

Ensure data integrity and accuracy by establishing and maintaining robust data governance processes.

Identify and resolve any data discrepancies, errors, or inconsistencies in a timely manner, ensuring data is of the highest quality.

Work to continuously improve data collection methodologies and ensure compliance with industry standards and privacy regulations.

Continuous Process Improvement:

Identify areas of improvement in data analysis processes, reporting tools, and data workflows to enhance overall efficiency and effectiveness.

Research and implement new data analysis tools, technologies, and techniques to stay ahead of industry trends and deliver innovative insights.

Contribute to the optimization of business intelligence and data systems across the organization.

Qualifications & Requirements:

Experience:

At least 2 years of experience in a data analyst role or similar positions, with proven success in working with large, complex datasets.

Experience in data analysis, reporting, and visualization, preferably in a fast-paced environment such as technology or business analytics.

Technical Skills:

Strong proficiency in data analysis and manipulation tools such as Microsoft Excel, SQL, and Python (or other statistical analysis languages).

Hands-on experience with data visualization tools like Tableau, Power BI, or Google Data Studio to create interactive dashboards and reports.

Familiarity with statistical modeling and machine learning techniques for predictive analytics.

Analytical & Critical Thinking:

Exceptional ability to analyze, interpret, and translate data into actionable business insights.

Strong problem-solving skills, with the ability to think critically and creatively to solve complex business challenges.

Communication Skills:

Excellent written and verbal communication skills, with the ability to present data insights clearly and effectively to a wide range of stakeholders, including senior management and non-technical team members.

Experience in creating detailed reports and presentations that translate technical data into business-focused insights.

Attention to Detail:

High level of attention to detail and accuracy, ensuring that data reports and analysis are precise and reliable.

Strong organizational skills to manage multiple projects and meet deadlines without compromising quality.

Time Management & Self-Motivation:

Proven ability to manage competing priorities and work under tight deadlines.

Self-motivated with the ability to work independently, while also being a team player who contributes to overall business success.

Preferred Skills:

Experience with AI & Machine Learning:

Knowledge of or experience working with AI and machine learning tools and technologies to enhance data analysis capabilities and predictive modeling.

Advanced Statistical Tools & Techniques:

Familiarity with advanced statistical software such as R, SAS, or SPSS is a plus.

Industry Knowledge:

Prior experience working in the AI, tech, or data analytics industry, with an understanding of business processes and data needs.

What We Offer:

Flexible Work Environment:

Enjoy a fully remote role with the flexibility to set your own working hours, allowing you to balance personal and professional commitments.

Competitive Compensation:

We offer a competitive salary, commensurate with experience, along with performance-based incentives and bonuses.

Professional Development:

Access to ongoing training, certifications, and opportunities for career growth within a rapidly evolving industry.

Comprehensive Benefits:

Health and wellness benefits, including medical, dental, and mental health support, to ensure your well-being.

Generous Paid Time Off (PTO):

A flexible and generous vacation and sick leave policy to help you recharge and maintain a healthy work-life balance.

Collaborative & Innovative Culture:

Join a dynamic, forward-thinking team that values collaboration, creativity, and innovative problem-solving. Work in an environment where your contributions will have a direct impact on the company’s success.

About AIEP:

At AIEP, we are at the cutting edge of delivering innovative AI-powered solutions that transform businesses by enhancing operational efficiency and driving growth. We pride ourselves on our strategic, forward-thinking approach and commitment to providing exceptional service and support to our clients. As part of our ongoing expansion, we are looking for a highly skilled and driven Data Analyst to join our talented team. If you have a passion for data, problem-solving, and providing actionable insights to drive business decisions, we would love to hear from you.

Job Type: Full-time

Pay: $41.30 - $45.31 per hour

Expected hours: 40 per week

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off

Compensation Package:

• Bonus opportunities
• Signing bonus

Schedule:

• Choose your own hours

Ability to Commute:

• Pembroke, VA 24136 (Preferred)

Ability to Relocate:

• Pembroke, VA 24136: Relocate with an employer provided relocation package (Preferred)

Work Location: Hybrid remote in Pembroke, VA 24136

Salary : $41 - $45