Data Analyst
Remote
- Experience
- 1–7 years
- Employment
- Full-time
- Work mode
- Remote
- Salary
- Not disclosed
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2026-09-22
Required skills
About the role
As a Data Analyst at Veronica Tech, you will be immersed in a dynamic environment where data-driven decision making fuels innovation and growth. You will collaborate closely with product managers, engineers, and business stakeholders to transform raw data into actionable insights that drive strategic initiatives. The role offers a blend of independent analytical work and team-oriented projects, fostering continuous learning through exposure to cutting‑edge analytics tools and methodologies. You will have the opportunity to influence product development, optimize operational processes, and contribute to a culture that values curiosity, precision, and impact. By delivering clear, concise reports and visualizations, you will empower colleagues across the organization to make informed decisions that enhance customer experiences and propel the company forward.
Requirements:
- 1–7 years of experience in data analysis or a related field, with a proven ability to interpret complex datasets.
- Proficiency in SQL and Python (or R) for data extraction, manipulation, and statistical analysis.
- Hands‑on experience with data visualization tools such as Tableau, Power BI, or Looker.
- Strong analytical mindset, attention to detail, and excellent communication skills for presenting findings to non‑technical audiences.
Roles and Responsibilities:
- Collect, clean, and validate large datasets from multiple internal and external sources to ensure data integrity.
- Perform exploratory data analysis to uncover trends, patterns, and anomalies that inform business strategy.
- Develop and maintain interactive dashboards and visual reports that provide real‑time insights to stakeholders.
- Collaborate with cross‑functional teams to define key performance indicators and translate business questions into analytical solutions.
- Present analytical findings and actionable recommendations to senior leadership in clear, concise formats.
- Assist in building and optimizing data pipelines and automated reporting processes to improve efficiency.
Budget:
- Job Type: payroll
- Salary Type: year
- Maximum Budget: $115,000 USD
- Experience Range: 1 to 7 years