Brazil Job Openings
Sunco
Data Analyst / Business Data Analyst
November 26, 2024
Who We Are
Sunco.com is a leading online lighting retailer headquartered in Valencia, CA. Thanks to our amazing and talented employees, we are proud to be one of the largest online lighting retailers in the US. We deeply value our collaborative, open, and people-first culture and are invested in making Sunco a positive place where our team members thrive every day. With our new state-of-the-art distribution center in Georgia, we continue to expand our reach and enhance our ability to serve our customers with excellence and efficiency. Join us and be part of a dynamic team that is lighting the way to a brighter future.
What We Do
We light up the world, literally. Customers have chosen Sunco to provide millions of LED lights and trust us for our exceptional customer service, eco-conscious product expertise, and unmatched value.
About the role
We are seeking an analytical Data Analyst / Business Data Analyst that is an expert in interpreting and managing large data. This person will extract valuable insights from unstructured information, enhancing decision-making and boosting revenue. This role involves collecting, cleaning, and analyzing data to find patterns and develop solutions tailored to organizational needs. This person shall possess strong analytical, critical thinking, and problem-solving skills, along with a passion for machine learning and research.
What you'll do
- Analyze large datasets to identify trends, patterns, and insights that inform business decisions.
- Develop and implement statistical models to deliver in depth market research and insights
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Monitor and evaluate the performance of models, ensuring their accuracy and reliability.
- Present findings and recommendations to stakeholders in a clear and actionable manner.
- Stay updated with the latest advancements in data science and incorporate them into our practices.
Qualifications
- Bachelor's or Master's Degree in Data science, Statistics, Computer Science, or a related field
- Software Engineers with experience in Python and Django are welcome to apply
- Experience on paid advertising, sales and pricing, e-commerce, or supply chain strongly preferred
- SQL and Python experience strongly preferred
- Strong knowledge of statistical analysis
- Experience with data manipulation and analysis tools.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to convey complex concepts to non-technical stakeholders.
- Availability to work in Pacific Time zone
DISCLAIMER: This is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements, or working conditions associated with the job. While this is intended to accurately reflect the current job, management reserves the right to revise the job or to require that other or different tasks be performed as assigned.
Sunco Lighting Inc. provides equal employment opportunities to all employees and applicants for employment and complies with Ban the Box laws, which prohibit us from inquiring about an applicant's criminal history until after a conditional job offer has been made. We also prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Sunco values privacy as a top priority. To understand more about the data we collect and process as part of our application, please view our Sunco Privacy Notice
The pay range for this role is:
8 - 10 USD per hour(Remote - Philippines)
8 - 10 USD per hour(Remote - Brazil)
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