Remote Entry Level Junior Data Analyst
We are seeking an analytical, detail-oriented, and curious Junior Data Analyst to join our fully remote analytics team. This entry-level position is designed for an aspiring data professional eager to turn raw data into actionable business insights. No prior corporate data experience is required. In this role, you will work closely with senior analysts and business stakeholders to clean data, maintain dashboards, and support routine reporting structures. The ideal candidate loves solving puzzles, possesses strong foundational logic, and is excited to learn new data methodologies in a fast-paced digital environment.
Key Responsibilities
Data Cleaning & Preparation: Assist in extracting, transforming, and cleaning data from various internal and external sources to ensure data integrity. Routine Reporting: Generate, validate, and distribute daily, weekly, and monthly operational reports to key stakeholders. Dashboard Maintenance: Support the team in updating and auditing internal data visualization dashboards to ensure metrics are accurate. Ad-Hoc Analysis: Conduct exploratory data analysis to help answer specific business questions and uncover underlying trends. Documentation: Document data dictionaries, reporting processes, and metric definitions to maintain an organized data library. Qualifications & Skills While we do not require professional experience, candidates must demonstrate foundational competence in basic data concepts: Analytical Mindset: Strong logical thinking skills with the ability to identify patterns, anomalies, and trends in numerical datasets. Foundational Excel/Sheets Skills: High proficiency with spreadsheet functions (e.g., VLOOKUP/XLOOKUP, Pivot Tables, basic formulas, and data formatting). Attention to Detail: Extreme precision when working with numbers, with a habit of self-auditing work to catch discrepancies. Communication Skills: Ability to translate numbers into plain language and explain findings clearly to non-technical team members. Educational or Training Background: Degree in Mathematics, Statistics, Computer Science, Economics, Finance, or a related field; OR completion of a recognized Data Analytics bootcamp/certification program. Preferred (But Not Required) Attributes Basic exposure to SQL (writing simple SELECT queries, filtering data). Familiarity with visualization tools like Tableau, Power BI, or Looker Studio. Introductory knowledge of programming languages like Python or R for data manipulation.
What We Offer
Hands-on remote training and mentorship from senior data engineers and analysts. Access to enterprise-level data tools and continuous learning stipends. Clear career pathing toward Mid-level Data Analyst or Data Scientist roles. Competitive starting salary, health benefits, and home office stipend.