Junior Data Analyst

Helic & Co. Logo
Helic & Co.
United States, US
  • IT
  • FullTime
  • Applications have closed

This is a remote position.

Overview

We are seeking a detail-oriented, curious, and motivated Junior Data Analyst to support analytical projects, reporting, and data-driven decision-making. This role is ideal for someone early in their analytics career who enjoys transforming raw information into insights that guide operations, strategy, and customer outcomes.

Key Responsibilities

Data Collection & Preparation

  • Gather, clean, and organize structured and unstructured datasets from multiple internal and external sources

  • Perform data validation to ensure accuracy, completeness, and reliability

  • Maintain data documentation, data dictionaries, and quality-control processes

Analysis & Reporting

  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and anomalies

  • Build dashboards, weekly/monthly reports, and performance summaries for internal teams

  • Assist senior analysts with deeper statistical analysis and forecasting projects

Business Insights & Support

  • Translate analytical findings into clear insights to support decision-making

  • Monitor KPIs and operational metrics; flag variances and trends

  • Support different departments (operations, marketing, product, finance, etc.) with data queries

Tools & Technologies

Experience with or willingness to learn:

  • Excel / Google Sheets (advanced functions, pivot tables)

  • SQL for querying databases

  • BI tools (Power BI, Tableau, Looker, or similar)

  • Python or R (optional but an asset)

Qualifications

Education & Experience

  • Diploma or bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, Economics, or related field

  • 0–2 years of experience in data analysis, reporting, or business intelligence (internships count)

Skills

  • Strong analytical and problem-solving abilities

  • Ability to manage large datasets with attention to accuracy

  • Clear communication skills—able to explain data in simple language

  • Curiosity, willingness to learn, and comfort with fast-paced environments

Preferred Assets

(Not mandatory but beneficial)

  • Experience with automation tools or CRM systems

  • Familiarity with APIs, cloud data platforms, or ETL concepts

  • Interest in predictive modeling or machine learning fundamentals

What This Role Offers

  • Hands-on mentorship and growth in analytics

  • Opportunities to work on meaningful real-world datasets

  • A supportive environment that encourages learning and experimentation

  • Clear pathways for advancement into Data Analyst, BI Analyst, or Data Scientist roles

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