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Description:
The Data Analyst (The Insight Builder) role involves analyzing data to uncover trends and inform strategic decisions.
The position requires transforming raw data into meaningful analytics and visual stories that guide business strategies and improve processes.
Responsibilities include collecting, cleaning, and analyzing large datasets to identify trends and insights for strategic decision-making.
The analyst will develop interactive dashboards and data visualizations using tools like Tableau or Power BI.
Collaboration with teams to provide data-driven insights that inform marketing strategies, product development, or operational improvements is essential.
The role involves performing advanced data analysis using statistical methods and programming languages such as Python, R, or SQL.
Generating detailed reports and documentation summarizing findings and presenting results to stakeholders is a key responsibility.
The analyst will work on optimizing data processes to ensure data integrity and efficiency.
Staying current with industry trends and best practices in data analytics is expected.
Requirements:
Strong knowledge of data analysis techniques and statistical methods is required to turn raw data into meaningful insights.
Proficiency in analytical tools such as Python, R, and SQL is essential, along with familiarity with data visualization platforms like Tableau or Power BI.
The candidate must have the ability to handle, clean, and preprocess data for analysis, managing large and complex datasets effectively.
Proven problem-solving and critical thinking skills are necessary to approach problems methodically and develop data-driven solutions.
Strong written and verbal communication skills are required to present findings and recommendations to non-technical audiences.
A Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field is required, with equivalent experience considered.
Certifications in data analysis or relevant analytics courses are a plus.
A minimum of 3 years of experience in data analysis with hands-on experience working with large datasets is required.
Experience with cloud-based data tools or platforms is advantageous, as is experience with business or financial analysis.
Benefits:
Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums are provided.
The position offers competitive vacation, sick leave, and 20 paid holidays per year.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs are available for professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources is included.
Life insurance and short-term/long-term disability coverage are part of the benefits package.
Confidential counseling and support services are offered through an Employee Assistance Program (EAP).
Financial assistance for continuing education and professional development is available through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are encouraged.
Employee recognition programs celebrate achievements and milestones.
Apply now
Please, let Unreal Gigs know you found this job
on RemoteYeah
.
This helps us grow 🌱.