Job Description

• A Bachelor's degree in Business, Programming, Business Intelligence, Computer science or related field
• Minimum 2 years of experience generating reports from BI tooling (Power BI preferred or acceptable equivalent e.g. Qlik, Tableau, Crystal Reports, Cognos, Power BI, SSRS, etc.)
• A strong working knowledge of Microsoft SQL with experience in querying and joining tabular data structures, database management, and creating new variables required for reports.
• Expertise in building intuitive, interactive dashboards and pixel perfect reports.
• Willingness to learn general international data security issues and follow data governance.
• Ability to communicate and collaborate in a remote team setting both reading, writing, and speaking English
• Ability to manage multiple priorities and adjust quickly to changing requirements and priorities
• Performs other related duties as assigned



What is Data Analyst II Position

A Data Analyst II is typically an experienced professional responsible for collecting, processing, and analyzing data to help organizations make informed decisions. On a day-to-day basis, their tasks might includes:

• Data Collection and Management: They gather data from various sources, ensuring that it's accurate and up-to-date. This might involve extracting data from databases, APIs, or spreadsheets, as well as managing datasets to ensure quality and integrity.
• Data Cleaning and Preprocessing: Analysts spend a significant portion of their day cleaning raw data. This includes removing inconsistencies, filling in missing values, and standardizing formats to make the data ready for analysis.
• Data Analysis: They apply statistical methods and tools to analyze the data. This might involve identifying trends, patterns, and correlations that could provide valuable insights for business decisions.
• Creating Reports and Dashboards: Data Analyst II often create visual reports or dashboards using tools like Tableau, Power BI, or Excel. These reports present the findings in a clear, actionable format for managers and stakeholders.
• Collaborating with Teams: Analysts regularly work with other departments (like marketing, sales, or finance) to understand their data needs and provide insights that support specific business goals.
• Advanced Analytics: Depending on their experience, they may also be involved in more complex tasks such as predictive modeling, machine learning, or advanced statistical analyses.
• Presenting Insights: They often communicate their findings to non-technical teams, translating complex data results into simple, understandable terms for decision-makers.
• Improving Processes: Data Analysts look for opportunities to streamline data processes, optimize tools, and ensure that data practices align with the company's strategic goals.

January 7, 2025 Apply Now

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