Job description

Must have senior role with below relevant experience with minimum 10 years.

Only relevant applicants submit resume to given email, No call, No WhatsApp.

gulam.r@ja-hr.com

Minimum of 10 years of experience in similar role.

• Power BI

• Data Warehousing/Warehouse

• SQL & Database Management

• DAX

• Data Visualization

• ETL (Extract, Transform, Load)

Job/Position Summary

The Reporting & Data Analytics Analyst will be responsible for developing and maintaining data reporting solutions that support organizational decision-making. This role involves analyzing complex data sets, creating insightful dashboards, and ensuring data integrity across all reporting platforms. Additionally, the analyst will establish and manage a data warehouse, build and optimize backend databases, and integrate various data sources to provide a comprehensive view of business performance. The analyst will collaborate with various stakeholders to understand their data needs, provide training and support, and stay up to date with the latest trends in data analytics. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and proficiency in data visualization tools. This position is essential for driving data-driven strategies and improving business outcomes.

Major Responsibilities – include but are not limited to -

Data Warehouse & Backend Development:

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Establish and manage a data warehouse to centralize and consolidate data from multiple sources.

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Build and optimize backend databases to support data integration, storage, and retrieval.

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Implement and maintain ETL (Extract, Transform, Load) processes to ensure efficient data flow.

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Ensure scalability, reliability, and performance of the data warehouse and backend systems.

Data Collection & Analysis:

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Collect, process, and analyze data from multiple sources.

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Identify trends, patterns, and correlations in complex data sets.

Job Description

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Reporting:

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Develop and maintain reports and dashboards using tools like Power BI, and Excel.

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Ensure accuracy and timeliness of data presented in reports.

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Generate periodic and ad-hoc reports as required by different departments.

Data Visualization:

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Create compelling data visualizations to present data insights in an easily understandable manner.

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Design and build interactive dashboards that allow stakeholders to explore data.

Collaboration:

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Work closely with various departments to understand their reporting and data needs.

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Collaborate with Systems and Technology team, IT, and other teams to ensure data integrity and system integration.

Strategic Insights:

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Provide data-driven insights and recommendations to support business strategies.

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Assist in identifying opportunities for operational improvements based on data analysis.

Data Management:

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Ensure proper data governance and management practices are followed.

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Maintain documentation for data sources, methodologies, and processes.

Technical Proficiencies

Data Analysis Tools:

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Proficient in using data analysis tools such as Power BI, and Excel for reporting and visualization.

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Experience with statistical analysis software such as R or Python.

Database Management:

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Strong knowledge of SQL and experience with database management systems (e.g., SQL Server, Oracle, MySQL).

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Experience in establishing and managing data warehouses.

ETL Processes:

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Proficient in ETL tools and processes for data extraction, transformation, and loading.

Data Visualization:

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Skilled in creating interactive and compelling data visualizations using tools like Power BI.

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Knowledge of DAX (Data Analysis Expressions) for Power BI.

Programming Languages:

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Proficiency in programming languages such as Python, R, or SAS for data manipulation and analysis.

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Experience with scripting languages like JavaScript for enhancing data visualizations.

Cloud Platforms:

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Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for data storage and processing.

Data Governance:

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Understanding of data governance principles and best practices.

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Experience in implementing data quality, data lineage, and metadata management solutions.

System Integration:

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Experience in integrating data from various sources and systems.

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Understanding of APIs and data integration tools for seamless data flow.

Competencies

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Analytical Thinking:

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Ability to analyze complex data sets and identify trends, patterns, and insights.

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Proficient in problem-solving and making data-driven decisions.

Attention to Detail:

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High level of accuracy and attention to detail in data analysis, reporting, and visualization.

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Strong focus on data quality and integrity.

Communication:

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Excellent verbal and written communication skills to present data insights clearly and effectively.

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Ability to translate technical data into understandable insights for non-technical stakeholders.

Collaboration:

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Strong interpersonal skills to work effectively with cross-functional teams and stakeholders.

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Ability to build and maintain relationships with various departments to understand their data needs.

Technical Aptitude:

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Strong technical skills and proficiency in data analysis, database management, and data visualization tools.

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Ability to quickly learn and adapt to new technologies and tools.

Project Management:

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Ability to manage multiple projects simultaneously and meet deadlines.

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Strong organizational skills and ability to prioritize tasks effectively.

Strategic Thinking:

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Ability to provide strategic insights and recommendations based on data analysis.

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Proficiency in identifying opportunities for operational improvements and business strategies.

Initiative:

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Proactive approach to identifying and addressing data-related issues and opportunities.

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Willingness to take ownership of projects and drive them to completion.

Adaptability:

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Ability to adapt to changing business needs and evolving technologies.

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Flexibility to work in a dynamic and fast-paced environment.

Critical Thinking:

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Strong critical thinking skills to evaluate data and make informed decisions.

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Ability to challenge assumptions and explore alternative solutions.

Qualifications

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Bachelor's degree in Data Science, Computer Science, Information Technology, Statistics, or a related field.

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Experience with data warehousing and database management.

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Experience in data visualization and reporting tools such as Power BI, and Excel.

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Experience with database querying languages such as