: Data Analyst

Location: Bangalore (Client Office)

Experience: 2+ Years Shift

Timing: 1:30 PM to 11:00 PM

Salary: 16-17.5LPA Detailed

: A Data Analyst is responsible for gathering, analyzing, and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise. A Data Analyst provides expertise on how business workflows map to data and how data can be integrated to build reusable data products. A Data Analyst will serve as a subject matter expert for delivery teams.

The Data

Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions. This role requires a strong understanding of data processing, reporting, and visualization tools, as well as a valuable working knowledge of Microsoft Azure Services and Power Platform. The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.

Key Responsibilities ● Analyze data to extract meaningful insights, trends, and patterns that can support decision-making across the organization. ● Develop and maintain dashboards and visualizations using Power BI, Spotfire, and Tableau to present data insights in an easy-to-understand format for stakeholders. ● Work with Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database to store, transform, and retrieve data efficiently. ● Assist in data preparation, cleaning, and integration activities for analysis, ensuring high data quality. ● Collaborate with data engineers, business stakeholders,



and IT teams to understand data requirements and contribute to the delivery of data-driven solutions. ● Leverage Power Platform tools to automate tasks, create workflows, and enhance data analysis processes. ● Provide support for ongoing analysis and maintain documentation for data processes, reports, and dashboards.

Required Qualifications Experience ● Overall 2–4 years of experience with 2 years of proven experience in data analysis, data visualization, or related fields. ● Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field or equivalent experience.

Technical Skills ● Proficiency in Microsoft Azure services, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database. ● Experience in data visualization tools such as Power BI, Spotfire, and Tableau. ● Strong skills in data manipulation and transformation using SQL. ● Familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI. ● Proficiency in data visualization tools such as Power BI, Spotfire, Tableau. ● Data modeling techniques, data fluency, and governance. ● Proficiency in Oil & Gas workflows and data types. ● Data Analysis: Understanding of data analysis concepts and experience in data modeling and building insightful reports. ● Problem Solving:



Strong analytical and problem-solving skills with attention to detail. ● Communication Skills: Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders. ● Team Collaboration: Ability to work effectively as part of a team, sharing knowledge and supporting other team members. ● Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders, internal and external parties across global teams and time zones. ● Strong knowledge of Microsoft Azure Services and Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database. ● Experience with SQL and data querying languages. ● Experience with Python for data wrangling. ● Strong analytical and problem-solving skills with attention to detail and accuracy. ● Fundamental knowledge of Information Risk Management (IRM).

Preferred Qualifications ● Microsoft Power BI Data Analyst certification (PL-300). ● Ability to discover and prepare datasets into clean, understandable, usable datasets for data analysis. ● Cloud Certifications: Certifications in Microsoft Azure, e.g., Azure Data Fundamentals, Azure Data Engineer Associate, are preferred. ●

Experience with ETL Tools: Exposure to ETL tools and data integration techniques. ● Advanced Analytics: Experience or knowledge of machine learning or advanced analytics is a plus. Scripting Languages:

Basic understanding of scripting languages such as Python or R for data analysis

Pay: ₹1,600,000.00 - ₹1,700,000.00 per year

Work Location: In person

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