RemoteMidData Analystposted 1w ago

✦Role summaryAI-generated

Seeroo IT Solutions seeks a Data Analyst to collect, clean, and analyze large datasets, generating actionable insights for marketing, product development, and management. The role involves statistical analysis, data visualization, and reporting to support data-driven business decisions.

Skills required

Data cleaning Statistics Data visualization SQL Python Excel Reporting Data analysis R Tableau Data science

About this role

Seeroo IT Solutions is looking for a detail-oriented and analytical Data Analyst to join our innovative team. As a Data Analyst at Seeroo IT Solutions, you will be responsible for collecting, processing, and performing statistical analyses on large datasets to help drive data-informed business decisions. You will collaborate with various departments including marketing, product development, and management to identify trends, generate reports, and provide actionable insights. The ideal candidate should have strong analytical skills, proficiency in data visualization tools, and the ability to translate complex data into easily understandable information. This role is critical in supporting our mission to leverage data for strategic growth and operational efficiency. Join Seeroo IT Solutions to be part of a forward-thinking company that values data-driven solutions and continuous improvement.

Responsibilities

Gather, clean, and analyze data from various sources to support business objectives.
Develop and maintain dashboards and reports to communicate key metrics and insights.
Collaborate with stakeholders to understand their data needs and deliver actionable analysis.
Identify trends, patterns, and anomalies in data to inform strategic decisions.
Ensure data accuracy, consistency, and integrity in all analyses and reports.
Utilize statistical methods and data mining techniques to enhance data-driven decision making.
Stay current with industry best practices, tools, and technologies in data analysis.

Requirements

Proven experience as a Data Analyst or similar role.
Proficiency in data analysis tools and software such as SQL, Excel, Python, R, or Tableau.
Strong understanding of statistical techniques and data visualization principles.
Excellent problem-solving skills and attention to detail.
Ability to communicate complex data in a clear and concise manner to non-technical stakeholders.
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field is preferred.
Experience working with large datasets and data cleaning processes.