Data Analyst

Remote - US Residents Only

We are seeking a precise and analytical Data Analyst to balance our growing personnel. By gathering, cleansing, and evaluating vast volumes of data, your job in this role is to enable the business to make wise decisions. You should have data analytic experience, be excellent in problem-solving, and be able to generate reports and recommendations out of complex data.

Crucial Purposes:

From many sources, compile enormous volumes of data, clean it, then examine it for trends, insights, and patterns.

Whether or not stakeholders are technologically advanced, create thorough reports and graphics to communicate findings to them.

Closely working with several departments will help you to fully grasp the needs of the firm and provide data-driven solutions.

Create dashboards and key performance indicators (KPIs) to track your business' development.

Using statistical techniques and tools, present predictive analysis and trend forecasts.

Regular validation and audit of datasets help to ensure data integrity and correctness.

Help to improve data collecting techniques and approaches by means of your own efforts.

Present data and recommendations in understandable, pragmatic forms to guide your selections.

Stay current with advances in data analysis and visualization as well as best practices advice.

Needed Skills:

Minimum requirement: a closely comparable degree in computer science, mathematics, statistics, or another field.

As a data analyst or a related role, valid work history combined with a strong portfolio.

Mastery in tools like R, Python, SQL, Excel, and data analysis programs.

Knowing several data visualization tools, including Power BI and Tableau.

Superior critical thinking and analytical ability fit for data and commercial concerns.

able of clearly and succinctly presenting concepts to others without a technical expertise hence imparting complex data insights.

painstaking, with an eye toward accurate, high-quality data.

Mastery of working both individually and in a team.

desired skills:

It is quite preferred to have past knowledge of predictive modeling or machine learning.

Knowledge of several cloud-based analytic and storage systems, including Google Cloud and Amazon Web Services (AWS).

Mastery in statistical analysis and hypothesis testing.

Our Services:

competitive compensation and benefits package.

Possibilities to develop professionally and get fresh talents.

a workplace encouraging mutual support, innovation, and teamwork.

Own modern tools for data visualization and analysis.