About Workwarp
At Workwarp, we're passionate about building innovative digital products that drive business growth and efficiency. As a leading provider of web and cloud application development services, we're committed to delivering high-quality solutions that meet the evolving needs of our clients. Our team of experts is dedicated to staying at the forefront of industry trends and best practices, ensuring that our clients receive the best possible results. If you're a talented data analyst with a passion for driving business insights, we want to hear from you!
Job Summary
We're seeking an experienced Full Stack Junior Data Analyst to join our team on a full-time basis. As a Junior Data Analyst, you'll work closely with our senior data analysts to design, develop, and maintain high-quality data analysis tooling and reports. This is an excellent opportunity to gain hands-on experience in a collaborative environment and contribute to exciting projects. If you're a motivated and skilled individual with a strong background in business intelligence, we encourage you to apply.
Key Responsibilities
- Analyzing Complex Data Sets: Analyze large datasets to identify trends, patterns, and insights that drive business growth and efficiency.
- Developing Data Models and Dashboards: Develop and maintain data models, dashboards, and reports to support business decision-making.
- Collaborating with Cross-Functional Teams: Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Conducting Ad-Hoc Analysis: Conduct ad-hoc analysis to answer specific business questions and provide actionable recommendations.
- Staying Up-to-Date with Industry Trends: Stay up-to-date with industry trends and best practices in data analysis and business intelligence.
Requirements
To be successful in this role, you'll need to possess the following qualifications and skills:
- Education: Bachelor's Degree required with an emphasis in business, economics, math, engineering, or analytics preferred. Advanced degree or certification preferred.
- Experience: 1+ years of experience, with at least 1 year of analytic experience.
- Technical Skills: Proficiency in interacting with various database and file storage systems (Examples: Oracle, Hadoop, NoSQL). Understanding of join types. Experience with data manipulation languages, such as SQL, required. Knowledge of statistical concepts and analytic techniques, including descriptive statistics, forecasting, economic modeling, exploratory analysis, and variance analysis required.
- Software Skills: Experience using Microsoft Excel, including the use of pivot tables, formulas, macros, VBA, charts/graphs. Experience with visualization tools such as Tableau, PowerBi, or QlikView.
- Soft Skills: Strong analytical, critical, and systems thinking required. Good understanding of Agile framework (SCRUM). Familiarity with Salesforce is a plus.
Benefits
We offer a comprehensive benefits package that includes:
- Competitive Salary: Competitive salary based on skills, qualifications, and experience.
- Health Insurance: Comprehensive health, dental, and vision insurance plans.
- Retirement Program: Retirement program with lifetime pension benefits.
- Paid Time Off: Paid time off and holidays.
- Flexible Work Schedule: Flexible work schedule and remote work options.
- Professional Development: Opportunities for professional development and growth.
- Collaborative Work Environment: Collaborative and inclusive work environment.
Why Join Our Team?
At Workwarp, we're committed to creating a collaborative and inclusive work environment that fosters growth and development. As a Junior Data Analyst, you'll have the opportunity to work on exciting projects, develop your skills, and contribute to the success of our clients. If you're a motivated and skilled individual with a passion for data analysis, we encourage you to apply.
How to Apply
If you believe you have what it takes to join our team, submit your application without delay. We're keen to hear from talented candidates like you.
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