Data Analyst II

SIEMENS

2+ Years Noida NA

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