H

Entry-Level Data Analyst (Remote)

hiredbuddy United State
Remote
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AI Summary

Hiredbuddy seeks an entry-level Data Analyst to analyze data, create insights, and support business decisions remotely. Responsibilities include writing SQL queries, cleaning datasets, building dashboards, and collaborating with cross-functional teams. Requires proficiency in SQL, Excel, and analytical problem-solving skills with a Bachelor’s degree in a related field.

Key Highlights
Fully remote role with opportunities for mentorship and professional growth
Focus on transforming raw data into actionable business insights
Collaborate with marketing, operations, and product teams to drive strategy
Key Responsibilities
Write and optimize SQL queries to extract, aggregate, and analyze data from relational databases
Clean, preprocess, and ensure accuracy of datasets for analysis
Create and maintain dashboards and ad-hoc reports using tools like Tableau or Power BI
Collaborate with cross-functional teams to define key metrics and KPIs
Perform statistical analysis and trend identification to support business decisions
Document analysis processes and findings for reproducibility and future reference
Technical Skills Required
SQL Excel Data Visualization
Benefits & Perks
Flexible remote work environment
Professional development budget for courses and certifications
Paid time off and paid holidays
Nice to Have
Basic knowledge of Python or R for data manipulation
Prior internship or coursework in data analysis

Job Description


Project Description

Hiredbuddy is seeking a motivated Data Analyst to join our remote team. You will support business decisions by collecting, cleaning, and interpreting data, creating reports and dashboards, and collaborating with cross-functional teams. Ideal for entry-level candidates with a strong foundation in SQL, Excel, and data visualization.

Full Description

Hiredbuddy is looking for an entry-level Data Analyst to join our growing analytics team. This fully remote role is perfect for someone who is eager to apply their analytical skills to real-world business challenges, collaborate with cross-functional teams, and build a strong foundation in data-driven decision making.

As a Data Analyst, you will be responsible for collecting, cleaning, and interpreting data from various sources, transforming raw numbers into actionable insights. You will work closely with stakeholders in marketing, operations, and product to understand their reporting needs and deliver clear visualizations that drive strategy.

Your day-to-day will involve writing SQL queries to extract data from relational databases, performing exploratory analysis in Excel or Python, and building dashboards in tools like Tableau or Power BI. You will also assist in maintaining data quality by identifying and correcting inconsistencies, documenting data pipelines, and suggesting improvements to data collection processes.

We expect you to be curious, detail-oriented, and committed to continuous learning. You will receive mentorship from senior analysts, participate in regular team meetings, and have opportunities to present your findings to leadership. While prior internship or coursework is beneficial, we value a strong analytical mindset and the ability to communicate complex ideas simply.

Key responsibilities include:

  • Writing and optimizing SQL queries to pull and aggregate data
  • Cleaning and preprocessing datasets to ensure accuracy and completeness
  • Performing statistical analysis and trend identification
  • Creating and maintaining dashboards and ad-hoc reports
  • Collaborating with team members to define metrics and KPIs
  • Documenting analysis processes and findings for reproducibility
  • Staying up-to-date with industry best practices and emerging tools

This role offers an excellent chance to grow your technical skills while contributing directly to business outcomes. If you are passionate about turning data into insights and thrive in a remote-first culture, we encourage you to apply.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or a related field
  • 0–2 years of experience (internships or academic projects acceptable)
  • Proficiency in SQL and Excel (pivot tables, formulas, charting)
  • Familiarity with data visualization tools like Tableau, Power BI, or similar
  • Basic knowledge of Python or R for data manipulation is a plus
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication abilities
  • Ability to work independently in a remote environment
  • A keen eye for detail and a commitment to data accuracy

Benefits

  • Flexible remote work environment
  • Professional development budget for courses and certifications
  • Paid time off and paid holidays

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