Remote Data Entry Associate

Sonimus; Remote; USD 60,000 - 80,000; Full time

Job summary

A technology company is hiring a Data Analyst in Colorado. This role involves transforming raw data into actionable insights, building dashboards, and collaborating with various teams. Candidates should possess strong skills in SQL and Python, along with analytical and communication capabilities. A Bachelor's degree in Data Science or a related field is essential. The position offers competitive pay, performance-based bonuses, and growth opportunities within the company.

Benefits

Competitive pay

Performance-based bonuses

Benefits package including health coverage and PTO

Growth opportunities

Qualifications

• Strong hands-on experience with SQL and Excel/Google Sheets.
• Proficiency in Python or R for data manipulation and analysis.
• Experience with BI tools and strong statistical knowledge.

Responsibilities

• Collect, validate, and organize large datasets from various sources.
• Build dashboards, reports, and automated data pipelines.
• Identify patterns and trends to support decision-making.

Skills

SQL

Excel/Google Sheets

Python

R

Tableau

Power BI

Statistical analysis

Communication skills

Education

Bachelor’s degree in Data Science, Statistics, or related field

Tools

BI tools (Tableau, Power BI, Looker)

Cloud data warehouses (BigQuery, Redshift, Snowflake)

Job description

Job Overview

We’re hiring a sharp, detail-driven Data Analyst to help transform raw data into meaningful insights that guide key business decisions. You’ll work across multiple teams, build dashboards, analyze trends, and deliver recommendations that directly impact growth and performance.

Responsibilities

• Collect, validate, and organize large datasets from various sources.
• Build dashboards, reports, and automated data pipelines for real-time insights.
• Identify patterns, trends, and anomalies to support strategic decision‑making.
• Conduct deep‑div analysis on business performance and user behavior.
• Develop predictive models and run A/B tests to validate assumptions.
• Collaborate with Product, Engineering, Marketing, and Finance teams.
• Maintain data accuracy, documentation, and reporting consistency.
• Present findings in a simple, visual, and actionable format for stakeholders.

Requirements

• Strong hands‑on experience with SQL and Excel/Google Sheets.
• Proficiency in Python or R for data manipulation and analysis.
• Experience with BI tools like Tableau, Power BI, Looker, or similar.
• Solid understanding of statistics, experimentation, and data modeling.
• Familiarity with cloud data warehouses (BigQuery, Redshift, Snowflake).
• Exceptional analytical, problem‑solving, and communication skills.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field (or equivalent real‑world experience).

Compensation

• Competitive pay depending on experience and skill level.
• Performance‑based bonuses.
• Benefits package may include health coverage, PTO, and remote flexibility (based on company policy).
• Growth opportunities into Senior Analyst, Data Scientist, or Analytics Manager roles.

Credit Score Requirements

Due to the financial and data‑sensitive nature of this role, all shortlisted applicants must complete a standard background check and credit score verification before interview scheduling. Only verified applicants will be moved forward for final review.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.