Job Description
We are urgently hiring a motivated Entry-Level Data Analyst to join our growing team in Albuquerque, NM. In this pivotal role, you will have the unique opportunity to work with cutting-edge data tools while enjoying the flexibility of remote options. We are looking for candidates who are eager to learn, analytical thinkers, and ready to drive data-informed decisions for a dynamic organization.
As a Data Analyst, you will play a crucial role in transforming raw data into actionable insights that help shape our business strategy. If you are a recent graduate or transitioning into the field of data analytics, this is the perfect platform to launch your career with full support and mentorship.
Responsibilities
- Data Collection & Cleaning: Gather, clean, and preprocess large datasets from various sources to ensure accuracy and reliability.
- SQL & Database Queries: Write efficient SQL queries to extract, manipulate, and analyze data from relational databases.
- Visualization: Create compelling dashboards and reports using tools like Tableau or Power BI to visualize trends and KPIs for stakeholders.
- Statistical Analysis: Perform exploratory data analysis (EDA) to identify patterns, correlations, and anomalies within the data.
- Collaboration: Work closely with cross-functional teams (marketing, sales, operations) to understand their data needs and provide actionable insights.
- Documentation: Maintain clear documentation of data pipelines, analysis methodologies, and reporting structures.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related field.
- Technical Skills: Proficiency in SQL (strong query writing skills) and Microsoft Excel (pivot tables, VLOOKUP, macros).
- Tools: Basic familiarity with data visualization tools (Tableau, Power BI, or Google Data Studio) is a plus.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical audiences.
- Problem Solving: Strong analytical mindset and the ability to troubleshoot data issues effectively.
- Work Style: Self-motivated individual capable of working independently in a remote/hybrid environment.