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At goZeal we are a team of women who are shaping the future in our pursuit to build the world’s most flexible workforce for women.
We help female professionals in the freelance economy by providing easy access to meaningful jobs, without technological, social, and language barriers.
We have a global community fueled talent pool, and we connect great companies with amazingly talented consultants in a remote and flexible work environment that’s built on trust and respect.
Most of our team work remotely, either from their home offices or from a co-working space.
Although our team members are mainly based throughout the U.S. and India right now, we are actively working to launch in other countries soon.
The cost of each project varies and is based on the individual job and its requirements. There is no one size fits all when it comes to pricing projects.
You will be charged on a project basis, and this will be project specific. For recurring jobs, we typically invoice our clients once a month, although we can be flexible.
We accept bank transfers and most major credit cards.
We conduct an in-depth screening process with applicants. We screen them for communication skills, personality, domain-specific knowledge, and a high level of professionalism. Approximately 10% of our applicants pass our screening process.
Our screening process consists of multiple ways to determine skills and proficiency, including portfolio reviews, technical challenges, user or market research, business cases, formal assessments, and problem solving sessions, as is determined appropriate for each candidate. We also have each applicant complete a test project similar to what they would be assigned to on one of our actual project teams.
No. Every goZeal Project Manager speaks and writes fluent English. This is such a high priority that before we even invite candidates to partake in our rigorous domain-specific tests, we conduct lengthy interviews to ensure that they are highly proficient in English.
Yes! We fully support career advancements and will be cheering you on every step of the way. The next project can be a step higher in salary and position.
Yes! We are all about our community here at goZeal. We maintain an active community channel to keep each other up to date, host community events, and to cheer each other on. We’re also in the process of setting up various community-centered benefits.
As soon as you knock out one project, you’ll be able to start on another with another team! Before you finish your current project, we match upcoming available projects to you so you don’t have to wait.
At the end of each month, you invoice goZeal, and we pay you via your selected method. Currently, we work with Payoneer and PayPal and can do bank transfers in selected countries.
Data Analytics involves extracting meaningful insights from data to guide informed decision-making. It helps identify trends and patterns that can shape strategies across various fields.
Data Engineering is focused on constructing systems for managing big data. Data engineers devise efficient methods for organizing, storing, and retrieving massive amounts of data.
A data analyst is analytical, detail-oriented, and skilled in identifying patterns within large data sets. They possess robust communication skills and a sound understanding of data analytics tools and programming languages.
A data analyst's daily tasks typically involve collecting, cleaning, and analyzing data, creating visualizations, and presenting findings. They apply data insights to influence business decisions, collaborating closely with diverse teams across the organization.
There are no prerequisites for this course. You do not need any prior knowledge of data analytics or a technical background.
Yes, you will receive a certificate upon successful completion of the course.
Absolutely. The course includes real-world case studies and projects to ensure you gain practical experience in data analytics.
If you have additional questions, please feel free to reach out to us at email@example.com. We're here to assist you on your journey to learning data analytics.