Power BI Developer - Onsite

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to solve complex problems and provide actionable insights using Data Lake and Power BI. You will work closely with cross-functional Data & Business teams to leverage data in innovative ways, helping the organization make informed decisions and optimize processes. You will use various charts/graphs and visualization techniquests to present business KPIs. Ability

to Present your insights in a clear and concise manner to both technical and non-technical stakeholders is important.

Ensuring data accuracy and reliability, resolving inconsistencies, and collaborating with teams to improve data processes are crucial. Additionally, staying updated with data analysis techniques and contributing to process improvement and innovation is expected

Following are the key responsibilities to be performed on daily basis in this Role.

Data Collection and Preparation:

• Collect and preprocess data from various sources including internal & external data sources, ensuring data quality and integrity for specific use cases.
• Data must be Clean, transform, and wrangle to make it suitable for analysis.

Data Modeling & Visualization

• Build efficient data models in Power BIand develop intuitive dashboards and reports that enable stakeholders to gain insights.
• This includes utilizing DAX functions to perform calculations, rankings, and filtering.

Deployment and Integration:

• Deploy models into production systems, collaborating with software engineers.
• Integrate models into decision-making processes and applications.

Data Quality Assurance:

• Ensure data accuracy and reliability by identifying and resolving inconsistencies in the datasets.
• Use Power BI features to monitor data quality and establish best practices for data governance.

Stakeholder Communication

• Present complex findings clearly and concisely to both technical and non-technical stakeholders, ensuring that insights are easy to understand and actionable

Communication and Visualization:

• Communicate findings and insights to non-technical stakeholders.
• Create appealing data visualizations and reports using Power BI to present results effectively.

Administration

• Ability to manage and update the gateway, create connections (data sources), and manage user roles and access.
• Ensure secure and efficient data transfer between on-premises data sources and Power BI services.

Continuous Learning and Improvement:

• Stay updated on the latest developments in Power BI and data analysis techniques, and proactively contribute to process improvement initiatives.

An aspiring Data Analyst candidate requires a wide range of technical competencies to effectively analyze data, build data models, Design Appealing Dashboards and derive valuable insights. Here are some of the key technical competencies that are essential for a Data Analyst:

Data Manipulation and Cleaning:

• Proficient in collecting, cleaning, and preprocessing data from multiple sources, using Power Query for data transformation.
• Skilled in querying data from databases using SQL and integrating it into Power BI.

Data Modeling in Power BI:

• Expertise in building and optimizing data models within Power BI, focusing on efficient relationships, calculated columns, and measures using DAX (Data Analysis Expressions).
• Knowledge of star schema and snowflake schema modeling to improve performance and usability in Power BI reports.

Advanced DAX for Analytics:

• Mastery of DAX functions for advanced calculations, such as time intelligence, ranking, dynamic filtering, and performance optimization in reports.
• Experience in dynamic measures, KPIs, and predictive modeling within Power BI to support business forecasting.

Statistical and Analytical Thinking:

• Strong foundation in statistical concepts (e.g., hypothesis testing, regression analysis) applied through Power BI.
• Experience with R and Python integration within Power BI for more advanced statistical analysis and machine learning, if needed.

Optimization:

• Ability to optimize existing Dashboardsperformance to load the data effectively

Ethical Considerations:

• Awareness of ethical considerations in data governance, including data privacy, bias mitigation, and fairness in algorithms.

Collaboration and Communication:

Effective communication skills to collaborate with cross-functional teams and convey complex technical concepts to non-technical stakeholders.

Desirable Qualification: Bachelors degree in Computer Science, Information Technology, Data Science, or a related field.

Work Experience: Proven experience (4+Yeras) as a Data Analyst/BI Developer, or similar role, preferably in a large-scale organization or within the logistics industry.

Technical skills required to perform the role:

• 4-7 years of experience in data visualization using Power BI.
• Strong proficiency in DAX, Power Query, and Power Automate.
• Excellent analytical skills with the ability to interpret complex data sets.
• Familiarity with data modeling and visualization best practices.
• Strong communication skills to collaborate with cross-functional teams.
• Experience to design Dashboard to be compatible with Mobile Devices
• Expertise in extracting the data from REST APIs to Power BI Visualization Tool
• Strong knowledge in understanding of Database Concepts and Ability to write SQL Queries
• Able to Develop Data Models to identify potential opportunities and risks using the data sets
• Interpret data, analyze results using statistical techniques and provide ongoing trends or patterns and reports.
• Experience in Python is an added advantage