Job Description
Are you a recent graduate or career changer looking to launch your career in the tech industry? DataDriven Solutions LLC is urgently hiring an Entry Level Data Analyst to join our expanding team in Dallas, Texas. We are a data-centric organization that believes in empowering our employees with the tools they need to succeed.
We are seeking a motivated individual who is passionate about uncovering actionable insights from complex data sets. In this role, you will have the opportunity to work in a hybrid environment, with flexible remote options available, allowing you to balance your work-life while growing your technical skills in SQL, Python, and Visualization.
About The Role:
As an Entry Level Data Analyst, you will act as a bridge between raw data and strategic business decisions. You will assist in maintaining our data pipelines, creating reports for executive leadership, and identifying trends that drive growth. If you have a knack for numbers and a desire to learn, we want to meet you.
Responsibilities
- Collect, clean, and validate data from various internal and external sources to ensure accuracy.
- Develop and maintain interactive dashboards using Tableau or Power BI to track key performance indicators (KPIs).
- Perform statistical analysis and modeling to support business forecasting and reporting.
- Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
- Document data processes and methodologies to ensure consistency and transparency.
- Present findings and insights to stakeholders in a clear, concise, and compelling manner.
Qualifications
- Bachelor’s degree in Finance, Information Systems, Mathematics, Statistics, or a related field (or equivalent professional experience).
- Proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, Index/Match) is required.
- Basic to intermediate knowledge of SQL for querying databases is highly preferred.
- Familiarity with programming languages such as Python or R is a plus.
- Strong attention to detail and the ability to spot trends or anomalies in data.
- Excellent written and verbal communication skills for presenting data to non-technical audiences.